Category: Finance

  • MIL-OSI Security: Jury Finds Members of Violent Third World Mob Gang Guilty of Trafficking More Than 1,000 Kilograms of Marijuana

    Source: US FBI

    COLUMBUS, Ohio – A federal jury has convicted two members of the Third World Mob gang with conspiring to traffic more than 2,000 pounds of marijuana. Third World Mob is a violent criminal organization in Columbus.

    After an 8-day trial before U.S. District Judge Edmund A. Sargus, Jr., jurors deliberated for less than six hours before finding Klegewerges Abate, 35, and Abubakarr Savage, 34, both of Columbus, guilty on all counts.

    Abate, who is also known as “Bells,” “Robell” and “Sosa,” was convicted of conspiring to traffic at least 1,000 kilograms of marijuana, firearms offenses, and wire fraud related to illegally obtaining COVID-19 pandemic relief funds.

    Savage was charged with and convicted of conspiring to distribute at least 1,000 kilograms of marijuana. Savage is also known as “Sav” and “Savdripp.”

    According to court documents and trial testimony, Third World Mob members brought hundreds of pounds of marijuana into Ohio from other states like California and Georgia to sell in central Ohio. They used U-Haul trucks and rental cars to move the drugs.  Coconspirators used rental houses or houses leased or owned in other individuals’ names as “stash houses” or “trap houses” to facilitate the drug trafficking and to store significant amounts of cash from the drug proceeds.

    For example, in August 2019, Abate and others possessed a suitcase with approximately $940,000 in cash in it in a house on Phlox Avenue in Blacklick.

    During a November 2022 search of a residence on Chapel Stone Road in Blacklick, law enforcement officials found Abate and two of his co-conspirators, along with more than 700 kilograms of marijuana and three firearms.

    Third World Mob leaders and members used violence and the threat of violence to maintain authority over their drug trafficking.

    Surveillance video presented at trial showed Abate, a convicted felon, shooting a man at a restaurant in Columbus. Jurors also heard testimony about numerous shootings, a pistol-whipping, and other acts of intimidation.

    Abate was also convicted of wire fraud for falsely applying for Pandemic Unemployment Assistance, fraudulently claiming that he had been a self-employed landscaper during the time he trafficked drugs.

    In total, seven members of the Third World Mob have been charged federally since 2021. Fellow member Menelik Solomon pleaded guilty in November 2023 and was sentenced to more than 15 years in prison. Coconspirator Teddy Asefa entered a guilty plea to conspiracy to possess with intent to distribute marijuana and wire fraud just prior to trial. Another defendant stood trial with Abate and Savage and was acquitted of the single obstruction of justice charge against him.

    Kenneth L. Parker, United States Attorney for the Southern District of Ohio; Elena Iatarola, Special Agent in Charge, Federal Bureau of Investigation (FBI), Cincinnati Division; Orville O. Greene, Special Agent in Charge, Drug Enforcement Administration (DEA), Detroit; and Franklin County Sheriff Dallas Baldwin announced the verdict. U.S. Attorney Parker recognized the assistance from the Columbus, Whitehall and Tucson, Arizona, police departments and the Ohio Bureau of Criminal Investigation. Assistant United States Attorneys Elizabeth A. Geraghty and S. Courter Shimeall represented the United States in this case.

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    MIL Security OSI

  • MIL-OSI Security: Cincinnati Man Sentenced to More Than 13 Years in Prison for Sex Trafficking Missing Teen

    Source: US FBI

    CINCINNATI – A Cincinnati man was sentenced in federal court here today to 162 months in prison for sex trafficking a missing teen girl.

    As part of his conviction, Payton Jamar Brown, 26, was ordered to pay nearly $58,000 in restitution to the minor victim and forfeit his home on Niagara Street in Cincinnati. Proceeds of the sale of his forfeited home will be paid to Brown’s victim as restitution.

    According to court documents, from June until October 2022 and again in February 2023, Brown sex trafficked the teenaged girl.

    Brown met the victim online and began a relationship with her. The victim began to reside with Brown, who created prostitution advertisements of her. Brown would transport the victim to hotels for prostitution dates that he had arranged. Brown arranged at least 40 prostitution dates in this timeframe and collected the proceeds from the victim.

    In October 2022, Colerain police officers responded to Brown’s residence and recovered the victim, who was subsequently taken to a juvenile facility in another state.

    In February 2023, the juvenile escaped the facility and messaged Brown on Instagram to pick her up. Brown drove interstate to pick up the victim and her friend and bring them to his residence. Brown again created a prostitution advertisement of the victim and arranged sexual encounters with other men for money.

    Throughout his time with the victim, Brown would regularly engage in sex acts with the minor and record those acts with a cell phone. He would then sell the photos and videos to others online.

    Brown was arrested by the FBI in February 2023. He pleaded guilty in October 2023.

    Kenneth L. Parker, United States Attorney for the Southern District of Ohio; Elena Iatarola, Special Agent in Charge, Federal Bureau of Investigation (FBI), Cincinnati Division; Colerain Township Police Chief Edwin C. Cordie III; and members of the Regional Electronics and Computer Investigations (RECI) task force announced the sentence imposed today by U.S. District Judge Douglas R. Cole. Assistant United States Attorney Kyle J. Healey is representing the United States in this case.

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    MIL Security OSI

  • MIL-OSI Security: Former Columbus Police Officer Pleads Guilty to Stealing Cocaine From Crime Scenes, Police Evidence Room

    Source: US FBI

    COLUMBUS, Ohio – A former Columbus police officer pleaded guilty in federal court here today to crimes involving more than 10 kilograms of cocaine and money laundering.

    Joel M. Mefford, 35, of London, Ohio, pleaded guilty to two counts of possessing with intent to distribute 500 grams or more of cocaine, one count of possessing with intent to distribute five kilograms or more of cocaine, and one count of money laundering.

    According to court documents, Mefford was a Columbus police officer assigned to investigate drug crimes. On three occasions between February and April 2020, Mefford worked with another officer to steal and traffic cocaine.

    In February 2020, Mefford and the other officer were investigating a drug crime and unlawfully gained access to a detached garage belonging to the subject of the investigation. Without a warrant, they entered the garage and discovered two kilograms of cocaine in the rafters. They unlawfully seized one of the kilograms and left the other to be found during the execution of a search warrant the next morning. The other officer gave the stolen narcotics to another individual to sell.

    Similarly, in February and March 2020, Mefford and the other officer were investigating drug-trafficking activity at houses on Ambleside Drive and Kilbourne Avenue in Columbus. On March 7, 2020, the officers took a bag containing multiple kilograms of cocaine from the house on Ambleside Drive and arrested an individual there. They then traveled to the house on Kilbourne Avenue and removed a kilogram of cocaine. That same day, Mefford turned in one kilogram of cocaine to evidence, and the officers stole the other kilograms to be sold.

    In April 2020, Mefford and the other officer stole between 10 and 20 kilograms of cocaine from the Columbus police property room and replaced it with fake cocaine. Mefford transported the stolen cocaine in a police cruiser and the other officer later gave the drugs to another individual to sell. The drug proceeds were then given to the other officer, who provided Mefford his cut. Mefford personally received a total of approximately $130,000 from cocaine sales.

    Mefford deposited more than $72,000 of the cash derived from the cocaine sales into his personal bank account.

    Possessing with intent to distribute five kilograms or more of cocaine is punishable by at least 10 years and up to life in prison. Possessing with intent to distribute 500 grams or more of cocaine carries a potential penalty of five to 40 years in prison. Money laundering is punishable by up to 10 years in prison. Congress sets the minimum and maximum statutory sentences. Sentencing of the defendant will be determined by the Court at a future hearing based on the advisory sentencing guidelines and other statutory factors.

    Kenneth L. Parker, United States Attorney for the Southern District of Ohio; and Elena Iatarola, Special Agent in Charge, Federal Bureau of Investigation (FBI), Cincinnati Division, announced the plea entered today before U.S. District Judge Edmund A. Sargus Jr.

    Assistant United States Attorneys Peter K. Glenn-Applegate and Elizabeth A. Geraghty are representing the United States in this case.

    The case was investigated by the FBI’s Southern Ohio Public Corruption Task Force, which includes special agents and officers from the FBI, Ohio Attorney General’s Bureau of Criminal Investigation, the Ohio Auditor of State’s Office and the Columbus Division of Police.

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    MIL Security OSI

  • MIL-OSI Security: U.S. Army Soldier Sentenced to 14 Years in Prison For Attempting to Assist ISIS to Conduct Deadly Ambush on U.S. Troops

    Source: US FBI

    U.S. Army Private First Class Provided Tactical Guidance in Attempt to Help ISIS Attack and Murder U.S. Service Members in the Middle East

    Cole Bridges, also known as Cole Gonzales, 24, of Stow, Ohio, was sentenced to 168 months in prison followed by 10 years of supervised release for attempting to provide material support to a designated foreign terrorist organization and attempting to murder U.S. military service members, based on his efforts to assist the Islamic State of Iraq and al-Sham (ISIS) to attack and kill U.S. soldiers in the Middle East.

    Bridges pleaded guilty to terrorism charges on June 14, 2023. According to court documents, Bridges joined the U.S. Army in approximately September 2019 and was assigned as a cavalry scout in the Third Infantry Division based in Fort Stewart, Georgia. Before he joined the Army, beginning in at least 2019, Bridges began researching and consuming online propaganda promoting jihadists and their violent ideology, and began to express his support for ISIS and jihad on social media. In or about October 2020, approximately one year after joining the Army, Bridges began communicating with an FBI online covert employee (the OCE), who was posing as an ISIS supporter in contact with ISIS fighters in the Middle East. During these communications, Bridges expressed his frustration with the U.S. military and his desire to aid ISIS. Bridges then provided training and guidance to purported ISIS fighters who were planning attacks, including advice about potential targets in New York City. Bridges also provided the OCE with portions of a U.S. Army training manual and guidance about military combat tactics, with the understanding that the materials would be used by ISIS in future attack planning.

    In or about December 2020, Bridges began to supply the OCE with instructions for the purported ISIS fighters on how to attack U.S. forces in the Middle East. Among other things, Bridges diagrammed specific military maneuvers intended to help ISIS fighters maximize the lethality of future attacks on U.S. troops. Bridges also provided advice about the best way to fortify an ISIS encampment to ambush U.S. Special Forces, including by wiring certain buildings with explosives to kill the U.S. troops. Then, in January 2021, Bridges provided the OCE with a video of himself in his U.S. Army body armor standing in front of a flag often used by ISIS fighters and making a gesture symbolic of support for ISIS. Approximately one week later, Bridges sent a second video in which Bridges, using a voice manipulator, narrated a propaganda speech in support of the anticipated ambush by ISIS on U.S. troops.

    The FBI’s New York Joint Terrorism Task Force investigated the case, with valuable assistance provided by the FBI field offices in Washington, Atlanta, and Cleveland; U.S. Army Counterintelligence, the U.S. Attorney’s Office for the Southern District of Georgia, Air Force Office of Special Investigations, U.S. Army Criminal Investigation Command, and U.S. Army Third Infantry Division.

    Assistant U.S. Attorneys Sam Adelsberg and Matthew Hellman for the Southern District of New York prosecuted the case, with assistance from Trial Attorney Michael Dittoe of the National Security Division’s Counterterrorism Section.

    MIL Security OSI

  • MIL-OSI Security: Bryan County Resident Pleads Guilty to Assault with Intent to Commit Murder

    Source: US FBI

    MUSKOGEE, OKLAHOMA – The United States Attorney’s Office for the Eastern District of Oklahoma announced that Jason Edward Lewis, age 48, of Kenefic, Oklahoma, entered a guilty plea to one count of Assault with Intent to Commit Murder in Indian Country.

    The Superseding Indictment alleged that on or about July 10, 2024, Lewis assaulted an individual with intent to commit murder.  The crime occurred in Bryan County, within the boundaries of the Choctaw Nation Reservation, in the Eastern District of Oklahoma.

    The charges arose from an investigation by the Federal Bureau of Investigation, the Choctaw Nation Lighthorse Police, and the Bryan County Sheriff’s Office.

    The Honorable D. Edward Snow, U.S. Magistrate Judge in the United States District Court for the Eastern District of Oklahoma, accepted the plea and ordered the completion of a presentence investigation report.  Lewis will remain in the custody of the United States Marshals Service pending sentencing.

    Assistant U.S. Attorney Rachel Geizura represented the United States.

    MIL Security OSI

  • MIL-OSI Security: Adair County Resident Sentenced for Child Abuse

    Source: US FBI

    MUSKOGEE, OKLAHOMA – The United States Attorney’s Office for the Eastern District of Oklahoma announced that Brian Keith Bowen Jr., age 26, of Stilwell, Oklahoma, was sentenced to 48 months in prison for one count of Child Abuse in Indian Country.

    The charges arose from an investigation by the Federal Bureau of Investigation and the Cherokee Nation Marshals Service.

    On May 22, 2024, Bowen pleaded guilty to the charge.  According to investigators, between April and May of 2023, Bowen maliciously harmed a child entrusted in his care.  Bowen’s mistreatment came to light on May 2, 2023, when medical professionals treating the child observed numerous injuries, including fading bruises, petechiae, and a spiral bone fracture consistent with child abuse.

    The crimes occurred in Adair County, within the boundaries of the Cherokee Nation Reservation, in the Eastern District of Oklahoma.

    The Honorable Ronald A. White, Chief U.S. District Judge in the United States District Court for the Eastern District of Oklahoma, presided over the hearing.  Bowen will remain in the custody of the U.S. Marshals Service pending transportation to a designated United States Bureau of Prisons facility to serve a non-paroleable sentence of incarceration.

    Assistant U.S. Attorney Jessie K. Pippin represented the United States.

    MIL Security OSI

  • MIL-OSI Security: Adair County Resident Pleads Guilty to Involuntary Manslaughter

    Source: US FBI

    MUSKOGEE, OKLAHOMA – The United States Attorney’s Office for the Eastern District of Oklahoma announced that Jade Larae Duncan, age 27, of Stilwell, Oklahoma, entered a guilty plea of one count of Involuntary Manslaughter in Indian Country.

    The Indictment alleged that on December 2, 2022, Duncan unlawfully killed an individual in the commission of an unlawful act not amounting to a felony and in the commission in an unlawful manner, without due caution and circumspection, while driving under the influence of alcohol and departing the roadway into a creek bed.  The crime occurred in Adair County, within the boundaries of the Cherokee Nation Reservation, in the Eastern District of Oklahoma.

    The charge arose from an investigation by the Federal Bureau of Investigation, the Oklahoma Highway Patrol, and the Adair County Sheriff’s Department.

    The Honorable Gerald L. Jackson, U.S. Magistrate Judge in the United States District Court for the Eastern District of Oklahoma, accepted the plea and ordered the completion of a presentence investigation report.

    Assistant U.S. Attorneys Patrick M. Flanigan, Lewis M. Reagan, and T. Cameron McEwen represented the United States.

    MIL Security OSI

  • MIL-OSI Security: Medford Man Sentenced to Federal Prison for Role in Fatal Fentanyl Overdose of a Teenager

    Source: US FBI

    MEDFORD, Ore.—A Medford man was sentenced to federal prison Monday for distributing fentanyl that caused the overdose death of a local teenager.

    John Rocha, 31, was sentenced to 78 months in federal prison and four years’ supervised release.

    According to court documents, on September 7, 2021, officers from the Medford Police Department responded to a report of an overdose death of a local 17-year-old high school student. Investigators soon learned that the teenager had taken counterfeit Percocet pills containing fentanyl. Within days, investigators identified Rocha as the victim’s fourth-level drug supplier and, when confronted by law enforcement, he admitted to having recently sold counterfeit pills.

    On February 3, 2022, a federal grand jury in Medford returned a five-count indictment charging Rocha and four others with distributing fentanyl, possessing with intent to distribute fentanyl, and possessing a firearm in furtherance of a drug trafficking crime.

    On February 20, 2024, Rocha pleaded guilty to distributing fentanyl.

    This case was investigated by the FBI and the Medford Area Drug and Gang Enforcement Team (MADGE). It was prosecuted by Marco A. Boccato, Assistant U.S. Attorney for the District of Oregon.

    MADGE is a multi-jurisdictional narcotics task force that identifies, disrupts, and dismantles local, multi-state, and international drug trafficking organizations using an intelligence-driven, multi-agency prosecutor-supported approach. MADGE is supported by the Oregon-Idaho High-Intensity Drug Trafficking Area (HIDTA) and is composed of members from the Medford Police Department, the Jackson County Sheriff and District Attorney’s Offices, the Jackson County Community Corrections, FBI, and Homeland Security Investigations (HSI).

    The Oregon-Idaho HIDTA program is an Office of National Drug Control Policy (ONDCP) sponsored counterdrug grant program that coordinates with and provides funding resources to multi-agency drug enforcement initiatives.

    MIL Security OSI

  • MIL-OSI Europe: Hydrogen’s pressure fix

    Source: European Investment Bank

    Decarbonising heavy transport is tricky. Electric buses and trucks are expensive, and they take a long time to charge.

    Hydrogen could solve the problem. It’s easy to transport and can refuel a heavy vehicle in minutes. But hydrogen, the lightest of elements, has a low energy content, so it must be compressed to fit enough of the gas into a vehicle to run it. The problem: hydrogen is highly flammable, and compression heats it up.

    “You need to build up the pressure very carefully, because you can’t just put highly pressurised gas into a tank,” says Herman Roose, chief financial officer at Resato Hydrogen Technology, a Dutch company that has been working on hydrogen refuelling since 2016. “Without the right approach, it will heat up to over 100 degrees, which is very dangerous.”

    High pressure is what makes hydrogen a viable fuel. The light and airy gas must be compressed to 700 bars for a car and about 350 bars for a truck, although new heavy vehicle technologies may require 700 bars. The overall system needs to maintain a pressure of 950 bars, roughly equivalent to the pressure in the deepest parts of the ocean. “That’s not easy,” Roose says.

    The company’s technology pressurises the gas without having the temperature rise too fast. If it does, the pumping system shuts off. Pulling up to a petrol station and seeing “out of order” on a pump isn’t a big deal when you can just drive a couple kilometres to the next station. Hydrogen refuelling stations, however, will be far and few between – about 200 kilometres apart on major roads, according to EU plans.

    Resato sells its system directly to big station operators, like Total of France and Hypion of Germany. The whole process fits in a shed-like structure that sits above ground and pumps compressed hydrogen to fuelling points with specialised nozzles for cars, trucks and buses.

    “A lot of operators buy components for hydrogen refuelling, put them together and hope the system works,” Roose says. “But we have our own fully integrated and owned technology.”

    The European Investment Bank signed a €25 million venture debt facility with Resato Hydrogen in January. The financing was made possible by an InvestEU guarantee

    MIL OSI Europe News

  • MIL-OSI Russia: Press Briefing Transcript: Julie Kozack, Director, Communications Department, May 22, 2025

    Source: IMF – News in Russian

    May 22, 2025

    SPEAKER:  Ms. Julie Kozack, Director of the Communications Department, IMF

    MS. KOZACK: Good morning, everyone and welcome to this IMF Press Briefing.  It is wonderful to see you all today on this rainy Washington morning, especially those of you here in person and of course also those of you joining us online.  My name is Julie Kozak.  I’m the Director of Communications at the IMF.  As usual, this press briefing will be embargoed until 11:00 a.m. Eastern Time in the United States.  And as usual, I will start with a few announcements and then I’ll take your questions in person on WebEx and via the Press Center.  

    So first, our Managing Director, Kristalina Georgieva, and our First Deputy Managing Director, Gita Gopinath, are currently attending the G7 Finance Ministers and Central Bank Governors meeting taking place in Canada right now.  Second, on May 29th through 30th, the Managing Director will travel to Dubrovnik, Croatia to attend a joint IMF Croatia National Bank Conference focused on promoting growth and resilience in Central, Eastern, and Southeastern Europe.  The Managing Director will participate in the opening panel and will hold meetings with regional counterparts.  

    On June 2nd, the Managing Director will travel to Sofia, Bulgaria to attend the 30th Anniversary celebration of the National Trust Ecofund.  During her visit, she will also hold several bilateral meetings with the Bulgarian authorities.  

    Our Deputy Managing Director, Nigel Clarke, will travel to Paraguay, Brazil, and the Netherlands next month.  On June 6th, he will launch the IMF’s new regional training program for South America and Mexico, which will be hosted in Asuncion by the Central Bank of Paraguay.  From there, he will travel to Brasilia to deliver a keynote speech on June 10th during the Annual Meeting of the Caribbean Development Bank.  He will also then travel to the Netherlands on June 12th to 13th to participate in the 2025 Consultative Group to Assist the Poor Symposium and to meet with the Dutch authorities.  

    Our Deputy Managing Director, Kenji Okamura, will be in Japan from June 11th to 12th for the 10th Tokyo Fiscal Forum to discuss fiscal frameworks and GovTech in the Asia Pacific region.  

    And finally, on a kind of housekeeping or scheduling issue, the Article IV Consultation for the United States will be undertaken on a later timetable this year, with discussions to be held in November.  

    And with those rather extensive announcements, I will now open the floor to your questions.  For those connecting virtually, please turn on both your camera and microphone when speaking.  All right, let’s open up.  Daniel.

     

    QUESTIONER: Thanks for taking my question.  I just wonder if the IMF has any reaction to the passage of last night in the House of Representatives of the One Big, Beautiful bill.  And a related question, how concerned are you by the increase in yields on long-dated U.S. treasuries?  What do you think it says about the market’s view of U.S. debt going into the future and sort of any possible spillovers for IMF borrowers as well?  MS. KOZACK: On the first question, what I can say is we take note of the passing of the legislation in the House of Representatives earlier this morning.  What we will do is we will look to assess a final bill once it has passed through the Senate and also once it’s been enacted.  And, of course, we will have opportunities to share our assessment over time in the various products where we normally would convey our fulsome views.  

    On your second question, which was on the bond market.   What I can say there is that we know that the U.S. government bonds are a safe haven asset, and the U.S. dollar, of course, plays a key role as the world’s reserve currency.  The U.S. bond market plays a critical role, of course, in finance and in safe assets.  And this is underpinned by the liquidity and depth of the U.S. market and also the sound institutions in the U.S.  We don’t see any changes in those functions.  And, of course, what we can also say is that although there has been some volatility in markets, market functioning, including in the U.S. Treasury market, has so far been orderly.  

     

    QUESTIONER: My question is about Ukraine.  Two topics particularly.  So, the first one, when is the next review of the Ukraine’s EFF is going to be completed, and what amount of money would be disbursed to Kyiv?  And could you please outline the total sum that is remaining within the current program?  And the second part, it’s about debt level.  What is the IMF assessment of current Ukraine’s government debt level?  Is it stable?  Do you see any vulnerabilities and any risks for Ukraine?  Thank you.  

    MS. KOZACK: Any other questions on Ukraine?  Does anyone online want to come in on Ukraine?  Okay, I don’t see anyone.  

    What I can say on Ukraine is that just two days ago, our Staff team started policy discussions with the Ukrainian authorities on the eighth review under the eff.  So, the team is on the ground now.  The discussions are taking place in Kiev and the team will provide an update on the progress at the end of the mission.

    In terms of the potential disbursement, I’m just looking here; that’s the seventh disbursement.  We will come back to you on the size of the disbursement, but it should show in the Staff report for the Seventh Review what would be expected for the Eighth Review.  And it would also show the remaining size of the program.  But we’ll come back to you bilaterally with those exact answers.  

    And what I can then say on the debt side is at the time of the Seventh Review under the program, we assessed debt, Ukraine’s debt to be sustainable on a forward-looking basis and as with every review that the team of course, will update its assessment as part of the eighth review discussion.  We’ll have more to say on the debt as the eighth review continues.  

     

    QUESTIONER: Just one more thing on Ukraine.  Does it make sense for them to consider using the euro as a defense currency for their currency, given the shifting geopolitical sense and what we are seeing with the dollar? MS. KOZACK: So right now, under the program, Ukraine has an inflation targeting regime, and that is where what the program is focused on, our program with Ukraine. So, they have an inflation targeting regime.  They are very much focused on ensuring the stability of that monetary policy regime that Ukraine has.  And, of course, that involves a floating exchange rate.  And I don’t have anything beyond that to say on the currency market.

     

    QUESTIONER: The agreement with the IMF established a target for the Central Bank Reserve to meet by June.  According to the technical projection, does the IMF believe Argentina will meet this target?  And if it’s not met, is it possible that we will grant a waiver in the future?

    MS. KOZACK: anything else on Argentina?  

    QUESTIONER: About Argentina, what is your assessment of the progress of the program agreed with Argentina more than a month after its announcement in last April?  

     

    QUESTIONER: The government is about to announce a measure to gain access to voluntarily, of course, but to the dollars that are “under the mattress”, as we call them, undeclared funds to probably meet these targets that Roman was asking about.  I was wondering if this measure has been discussed with the IMF.  And also, you mentioned Georgieva visiting Paraguay and Brazil, if you there’s any plan to visit Argentina as well?  

    QUESTIONER: President Milei is about to announce, you know, Minister Caputo, in a few minutes that there is a measure to use similar to attacks Amnesty.  Is the IMF concerned that this could violate its regulations against illicit financial flows? 

    MS. KOZACK: So, with respect to Argentina, on April 11th, I think, as you know, our Executive Board approved a new four-year EFF arrangement for Argentina.  It was for $20 billion.  It contained an initial disbursement of $12 billion.  And that the aim of that program is to support Argentina’s transition to the next phase of its stabilization program and reforms.  

    President Milei’s administration’s policies continued to deliver impressive results.  These include the rollout of the new FX regime, which has been smooth, a decline in monthly inflation to 2.8 percent in April, another fiscal surplus in April, and reaching a cumulative fiscal surplus of 0.6 percent of GDP for the year, and efforts to continue to open up the economy.  At the same time, the economy is now expanding, real wages are recovering, and poverty continues to fall in Argentina.  

    The Fund continues to support the authorities in their efforts to create a more stable and prosperous Argentina.  Our close engagement continues, including in the context of the upcoming discussions for the First Review of the program.  This First Review will allow us to assess progress and to consider policies to build on the strong momentum and to secure lasting stability and growth in Argentina.  And in this regard, there is a shared recognition with the authorities about the importance of strengthening external buffers and securing a timely re-access to international capital markets.  

    What I can say on the question about the announcements on that — the question on the undeclared assets.  All I can say right now is that we’re following developments very closely on this, and of course, the team will be ready to provide an assessment in due course.  

    On the second part of that question, I do want to also note, and this is included in our Staff report, that the authorities have committed to strengthening financial transparency and also to aligning Argentina’s AML CFT, the Anti-Money Laundering framework, with international standards, as well as to deregulating the economy to encourage its formalization.  So, any new measures, including those that may be aimed at encouraging the use of undeclared assets, should be, of course, consistent with these important commitments.  

    And on your question about Paraguay and Brazil, I just want to clarify that it is our Deputy Managing Director, Nigel Clarke, who will be traveling to Brazil and Paraguay, not the Managing Director.  

     

    QUESTIONER: Two questions on Syria.  With the U.S. and EU announcing the lifting of sanctions recently, how does this affect any sort of timeline with providing economic assistance?  And secondly, the Managing Director has said that the Fund has to first define data.  Can you just walk through what that entails?  

    MS. KOZACK: Can you just repeat what you said?  The Managing Director has said?

     

    QUESTIONER: The need to define data.  Just sort of a similar question.  I’m just wondering, following the World Bank statement last week about, you know, Syria now being eligible to borrow from the bank, what sort of discussions the Fund has had with the Syrian authorities since the end of the Spring Meetings and, you know, any update you can give us around possible discussions around an Article IV.  

     

    QUESTIONER: About the relationship and if there’s any missed planned virtual or on the ground? 

    MS. KOZACK: Let me step back and give a little bit of an overview on Syria. So, first, you know, we’re, of course, monitoring developments in Syria very closely.  Our Staff are preparing to support the international community’s efforts to help with Syria’s economic rehabilitation as conditions allow.  We have had useful discussions with the new Economic Team who took office in late March, including during the Spring Meetings.  And, of course, you will perhaps have seen the press release regarding the roundtable that was held during the Spring Meetings.  IMF Staff have already started to work to rebuild its understanding of the Syrian economy.  We’ve been doing this through interactions with the authorities and also through coordination with other IFIs. And just to remind everyone, our last Article IV with Syria was in 2009.  So, it’s been quite some time since we have had a substantive engagement with Syria.  Syria will need significant assistance to rebuild its economic institutions.  We stand ready to provide advice and targeted and well-prioritized technical assistance in our areas of expertise. I think this goes a little bit to your question on, like, what do we mean by defining data.  I think what the Managing Director was really referring to there is since it has been such a long time since we have had a substantive engagement with Syria, the last Article IV, as I said, was in 2009.  I think there, what she’s really referring to is the need to really work with the Syrian authorities to rebuild basic economic institutions, including the ability to produce economic statistics, right, so that we — so that we and the authorities and the international community of course, can conduct the necessary economic analysis so that we can best support the reconstruction and recovery efforts.  

    With respect to the lifting of sanctions, what I can say there is that, of course, the lifting of sanctions and the lifting of sanctions are a matter between member states of the IMF.  What we can say in serious cases that the lifting of sanctions could support Syria’s efforts to overcome its economic challenges and help advance its reconstruction and economic development.  Syria, of course, is an IMF member, and as we’ve just said, you know, we are, of course, engaged closely with the Syrians to explore how, within our mandate, we can best support them.  

     

    QUESTIONER: My question is on Russia.  In what ways is the IMF monitoring Russia’s economy under the current sanctions and conflict conditions, and have regular Article IV Consultations or other surveillance activities with Russia resumed to track its economic developments?  

    MS. KOZACK: What I can say with respect to Russia is that we are, our Staff, are analyzing data and economic indicators that are reported by the Russian authorities.  We are also looking at counterparty data that is provided to us by other countries, and this is particularly true for cross-border transactions, as well as data from third-party sources. So, this data collection using official and other sources does allow us to put together a picture of the Russian economy.  

    We did provide an assessment in the 2025 April WEO, the one that we just released about a month ago.  In this WEO, we assess Russia’s growth at — we expect Russia to grow at 1.5 percent in 2025, 0.9 percent in 2026, and we expect inflation to come down to 8.2 percent in 2025 and 4.4 percent in 2026.  And I don’t have a timetable for the Article IV at this time.  

     

    QUESTIONER: I’d like to ask about Deputy Management Director Okamura’s visits to Japan.  So, my question is, what economic topics will be on the agenda during his stay?  Could you tell me a bit more in detail?  

    MS. KOZACK: Deputy Managing Director Okamura will travel to Japan, as I said, from June 11th to 12th, and he will be attending the Tokyo Fiscal Forum.  So, this will be the 10th Tokyo Fiscal Forum.  It’s an annual conference that we co-host in Japan every year and the focus is on issues of fiscal policy. In this particular one, Deputy Managing Director Okamura will be discussing fiscal frameworks. It’s very important for all countries to have sound fiscal frameworks so they can implement sound fiscal policy.  He will also be discussing GovTech not only in Japan but in the Asia Pacific region.  And of course, GovTech is very important for countries because it’s a way of modernizing and making government both provision of services in some cases but also potentially collection of revenue more effective and more efficient.  So, those will be the focus of his discussions in Tokyo.  

     

    QUESTIONER: I have a question on the recent bailout package by IMF to Pakistan.  The Indian government has expressed a lot of displeasure with Pakistan planning to use this package to build — rebuild — areas that allegedly support cross-border terrorism.  Does the IMF have any assessment of this?  Secondly, I also have another question.  Could you please provide information on the majority vote that was received in approving this bailout package for Pakistan on May 9th?  If you can disclose the information.  

    MS. KOZACK: Any other questions on Pakistan?  

     

    QUESTIONER: Just adding to that, do you have an update on the implications of the escalation of facilities in that border between Pakistan and India on both economies.  

     

    QUESTIONER: Thanks a lot.  I guess the only spin I would put on is generally what safeguards does the IMF have that its funds won’t be used for military or in support of military actions, not only there but as a general matter.  And I also, if you’re able to, there was some controversy about the termination of India’s Executive Director of the IMF, K.V. Subramanian.  Do you have any insight into–there are reports there–what it was about but what do you say it’s about?  Thanks a lot.  

    MS. KOZACK: With respect to the Indian Executive Director who had been at the Fund, all I can say on this is that the appointment of Executive Directors is a member for the — is a matter for the member country.  It’s not a matter for the Fund, and it’s completely up to the country authorities to determine who represents them at the Fund.  

    With respect to Pakistan and the conflict with India, I want to start here by first expressing our regrets and sympathies for the loss of life and for the human toll from the recent conflict.  We do hope for a peaceful resolution of the conflict.  

    Now, turning to some of the specific questions about the Board approval of Pakistan’s program, I’m going to step back a minute and provide a little bit of the chronology and timeframe.  The IMF Executive Board approved Pakistan’s EFF program in September of 2024.  And the First review at that time was planned for the first quarter of 2025.  And consistent with that timeline, on March 25th of 2025, the IMF Staff and the Pakistani authorities reached a Staff-Level Agreement on the First Review for the EFF.  That agreement, that Staff-Level Agreement, was then presented to our Executive Board, and our Executive Board completed the review on May 9th.  As a result of the completion of that review, Pakistan received the disbursement at that time.  

    What I want to emphasize here is that it is part of a standard procedure under programs that our Executive Board conducts periodic reviews of lending programs to assess their progress.  And they particularly look at whether the program is on track, whether the conditions under the program have been met, and whether any policy changes are needed to bring the program back on track.  And in the case of Pakistan, our Board found that Pakistan had indeed met all of the targets.  It had made progress on some of the reforms, and for that reason, the Board went ahead and approved the program.  

    With respect to the voting or the decision-making at our Board, we do not disclose that publicly.  In general, Fund Board decisions are taken by consensus, and in this case, there was a sufficient consensus at the Board to allow us to move forward or for the Board to decide to move forward and complete Pakistan’s review.  

    And with respect to the question on safeguards, I do want to make three points here.  The first is that IMF financing is provided to members for the purpose of resolving balance of payments problems.  

    In the case of Pakistan, and this is my second point, the EFF disbursements, all of the disbursements received under the EFF, are allocated to the reserves of the central bank.  So, those disbursements are at the central bank, and under the program, those resources are not part of budget financing.  They are not transferred to the government to support the budget. 

    And the third point is that the program provides additional safeguards through our conditionality.  And these include, for example, targets on the accumulation of international reserves.  It includes a zero target, meaning no lending from the central bank to the government.  And the program also includes substantial structural conditionality around improving fiscal management.  And these conditions are all available in the program documents if you wanted to do a deeper dive.  And, of course, any deviation from the established program conditions would impact future reviews under the Pakistan program.  

     

    QUESTIONER: I have a question on Egypt.  There is a mission in Egypt for the First Review of the EFF loan program.  So, can you please update us on the ongoing discussions, especially since the Prime Minister of Egypt announced yesterday that the program could be concluded in 2027 rather than 2026?  

    MS. KOZACK: Any other questions on Egypt?  I have a question from the Press Center on Egypt, which I will read aloud.  The question is when will the Fifth Review currently underway with the Egyptian government be concluded, and when will the Executive Board approve this review?  And how much money will Egypt receive once the review is approved?  

    So, here’s what I can share on Egypt.  First, let me start here.  So first, I just want to say that the Fund remains committed to supporting Egypt in building its economic resilience and fostering higher private sector-led growth.  Egypt has made clear progress on its macroeconomic reform program, with notable improvements in inflation and foreign exchange reserves.  For the past few weeks, IMF Staff has had productive discussions with the Egyptian authorities on economic performance and policies under the EFF.  As Egypt’s macroeconomic stabilization is taking hold, efforts must now focus on accelerating and deepening reforms that will reduce the footprint of the state in the Egyptian economy, level the playing field, and improve the business environment.  Discussions will continue between the IMF and the Egyptian authorities on the remaining policies and reforms that could support the completion of the Fifth Review.  

     

    QUESTIONER: My question is about Sri Lanka.  Sri Lanka’s program is subject to IMF Board approval.  The review is subject to IMF Board approval, but we still haven’t got any word on when that would be.  Is there any delay in this?  And is this delay attributed to the pending electricity adjustments, tariff adjustments, that the Sri Lankan government has committed to?  

    MS. KOZACK: So just stepping back for a minute.  On April 25th, IMF Staff and the Sri Lankan authorities reached Staff-Level Agreement on the Fourth Review of Sri Lanka’s program under the EFF.  And once the review is approved by our Executive Board, Sri Lanka will have access to about $344 million in financing.  Completion of the review is subject to approval by the Executive Board, and we expect that Board meeting to take place in the coming weeks.  

    The precise timing of the Board meeting is contingent on two things.  The first is implementation of prior actions, and the main prior actions are relating to restoring electricity, cost recovery pricing and ensuring proper function of the automatic electricity price adjustment mechanism.  And the second contingency is completion of the Financing Assurances Review, which will focus on confirming multilateral partners, committed financing contributions to Sri Lanka and whether adequate progress has been made in debt restructuring.  So, in a nutshell, completion of the review is subject to approval by the Executive Board.  We expect the Board meeting to take place in the coming weeks.  And it’s contingent on the two matters that I just mentioned.  

     

    QUESTIONER: Thank you for having my questions on Ecuador.  Since the IMF is still completing the second review under the EFF program for Ecuador, do you think it’s going to be time to change the program, the goals, or maybe the amount of the program?  Because Ecuador is now facing different challenges compared to 2024.  The oil prices are falling, so that is going to affect the fiscal situation for Ecuador.  And also, I would like to know if Ecuador is still looking for a new program under the RSF.  And the last one, I would like to know if, do you think that Ecuador is going to need to make some important changes this year on oil subsidies and a tax reform?  I think, as I said, Ecuador now is facing some important challenges in the fiscal situation, so do you think it’s going to be possible because of, you know, all the social protests and all that kind of stuff?  Do you think it’s going to be possible to do that in Ecuador?  

     

    QUESTIONER: Is there a request, an official request, in place to modify the program?  And if there is, of course, details of the new one, you can share.  

    MS. KOZACK: And then I have one question online from the Press Center regarding Ecuador.  Is the sovereign negotiating new targets, given their fiscal position deteriorated compared to last year?  Our understanding is that $410 million was not dispersed under the First Review.?

    So let me share what I can on Ecuador.  So, right now, representatives from the IMF, the World Bank, and the Inter-American Development Bank are in Quito this week to meet with the authorities and discuss the strengthening of financial and technical support to the country.  As part of this tripartite visit, we have a new IMF Mission Chief who is participating, and she is also using that opportunity to have courtesy meetings with the authorities and to continue discussions and advance toward a Second Review under Ecuador’s EFF.  

    What else I can add, just as background, is that the Executive Board in December approved the First Review of Ecuador’s 48-month EFF.  About $500 million was disbursed after the approval of that Frist Review.  And at that time, the Executive Board also concluded the Article IV Consultation.

    I can also say that the authorities have made excellent progress in the implementation of their economic program under the EFF.  And regarding the precise timing of the Second Review, we will provide an update on the next steps in due course and when we’re able to do so.  

     

    QUESTIONER: Just a quick question on tariffs.  I’m just wondering if the IMF has a response to the U.S.-China deal that was struck in Geneva earlier this month.  You know, if the deal holds, I appreciate it’s a 90-day pause, but if the deal holds, how would you foresee that changing the Fund’s current economic forecast for the U.S. and China and for the global economy?  Thanks.  

    MS. KOZACK: As you noted, earlier in May, China and the U.S. announced a 90-day rollback of most of the bilateral tariffs imposed since April 2nd, and they established a mechanism to discuss economic and trade relations.  The two sides reduced their tariff from peak levels, leaving in place 10 percent additional tariffs.  So, the additional tariffs before this agreement were 125 percent.  Now, the additional tariff has agreed to be 10 percent, you know, for the 90 days.  This is obviously a positive step for the world’s two largest economies.

    What I can also add is that for the U.S., you may recall, during the Spring Meetings, we talked a lot about the overall effective tariff rate for the U.S.  At that time, we assessed it at 25.5 percent.  This announcement and the reduction in tariffs will bring the U.S. effective tariff rate down to a bit over 14 percent.  

    Now, with respect to the impact, what I can say is that the reduction in tariffs and the easing of tensions does provide some upside risk to our global growth forecast.  We will be updating that global growth forecast as part of our July WEO.  And so that will give us an opportunity to provide a full assessment.  All of this said, of course, the outlook, the global outlook in general does remain one of high uncertainty.  And so that uncertainty is still with us.  

     

    QUESTIONER: I have a broad question regarding the following – at the IMF World Bank Spring Meeting, the recent one,  the Treasury Secretary Bessent called for the IMF and the World Bank to refocus on their core mission on macroeconomic stability and development.  Did the IMF start any discussion on this topic with the U.S. administration?  And my second question, do you foresee any changes to your lending programs to take into account the views of the Trump Administration regarding issues like climate change and international development?  Thank you.  

    MS. KOZACK: What I can say on this is the U.S. is our largest shareholder, and we greatly value the voice of the United States.  We have a constructive engagement with the U.S. authorities, and we very much appreciate Secretary Bessent’s reiteration of the United States’ commitment to the Fund and to our role.  The IMF has a clearly defined mandate to support economic and financial stability globally.  Our Management Team and our entire Staff are focused exactly on this mandate, helping our 191 members tackle their economic challenges and their balance of payments risks.  

    What I can also add is that at the most recent Spring Meetings, the ones we just had in April, our membership identified two areas where they’ve asked the IMF to deepen our work.  And the first is on external imbalances, and the second is on our monitoring of the financial sector.  So they’re looking for us to really deepen our work in these two areas.  

    As far as taking that work forward, we will continue working with our Executive Board on these areas, as well as to carry out some important policy reviews.  And I think the Managing Director referred to these during the Spring Meetings.  The first is the Comprehensive Surveillance Review, which will set out our surveillance priorities for the next five years.  And the second is the review of program design and conditionality.  And that will carefully consider how our lending can best help countries address low growth challenges and durably resolve their balance of payments weaknesses.  

    I have a slight update for you on Ukraine, which says — so the eighth — so if we look at the documents that were published at the time of the Seventh Review program, the one that was approved by the Executive Board a little while ago, based on that, the Eighth Review disbursement would be about $520 million.  And, the discussions of the Eighth Review are ongoing, and any disbursement, as always, is subject to approval by our Executive Board. 

    And with that, I will bring this press briefing to a close.  So first, let me thank you all for your participation today.  As a reminder, the briefing is embargoed until 11:00 a.m. Eastern Time in the United States.  As always, a transcript will be made available later on IMF.org.  In case of any clarifications or additional queries, please do not hesitate to reach out to my colleagues at media@imf.org.  This concludes our press briefing, and I wish everyone a wonderful day.  I look forward to seeing you next time.  Thanks very much.

     

      

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    IMF Communications Department
    MEDIA RELATIONS

    PRESS OFFICER: Meera Louis

    Phone: +1 202 623-7100Email: MEDIA@IMF.org

    https://www.imf.org/en/News/Articles/2025/05/22/tr-05222025-com-regular-press-briefing-may-22-2025

    MIL OSI

    MIL OSI Russia News

  • MIL-OSI Canada: G7 Finance Ministers and Central Bank Governors’ Communiqué

    Source: Government of Canada News

    Statement

    Banff, May 20-22, 2025

    1. We, the G7 Finance Ministers and Central Bank Governors, met on May 20-22, 2025 in Banff, Canada together with the Heads of the International Monetary Fund (IMF), World Bank Group (WBG), Organisation for Economic Cooperation and Development (OECD), and Financial Stability Board (FSB). We were also joined by Ukrainian Finance Minister Sergii Marchenko and the President of the Financial Action Task Force (FATF) for parts of the meeting.
    2. We began by reiterating our shared commitment to the G7. After 50 years of working together, transcending national differences and promoting global prosperity, the value of the G7 is clear. We held a productive and frank exchange of views on the current global economic and financial situation, the risks and opportunities common to our countries, and ways to address them. This joint statement reflects the outcome of the discussion between G7 Finance Ministers and Central Bank Governors during the meeting.  

    Global Economy

    1. In the face of multiple complex global challenges, we are committed to pursuing our shared policy objectives. We agree that the G7 can leverage our strong economic relationships to advance our common goals. International organizations signaled at our last meeting that trade and economic policy uncertainty was high and weighing on global growth. We acknowledge that economic policy uncertainty has declined from its peak, and we will work together to achieve further progress. We also shared our concerns over unsustainable global macro imbalances.
    2. In this respect, we also underscore the need to address excessive imbalances and strengthen macro fundamentals, given potential global spillovers. We call on the IMF to continue to enhance its analysis of imbalances in both its bilateral and multilateral surveillance. We continue to engage with each other and with international partners to advance international cooperation and deliver prosperity.
    3. Strong and sustainable economic growth is the cornerstone of economic prosperity. We are committed to working together to achieve a balanced and growth-oriented macroeconomic policy mix that supports our economic security and resilience and ensures that all of our citizens can benefit from that growth. We are committed to maintaining well-functioning financial markets. We recognize that elevated uncertainty can have implications for the economy and for financial stability. We will continue to monitor and consult closely on these matters. Our central banks remain strongly committed to ensuring price stability, consistent with their respective mandates. We reaffirm our May 2017 exchange rate commitments.

    Economic Resilience and Security

    1. We recognize the need for a common understanding of how non-market policies and practices (NMPPs) aggravate imbalances, contribute to overcapacity, and impact the economic security of other countries. Building on our previous commitments and as guided by Leaders, we will contribute, as appropriate, to the monitoring of NMPPs, continuing to assess the distortions they cause in markets and their global spillovers. We agree on the importance of a level playing field and taking a broadly coordinated approach to address the harm caused by those who do not abide by the same rules and lack transparency.
    2. We call on international organizations to address data gaps and deepen our collective understanding of NMPPs and their domestic and global implications. We agree that joint analysis of market concentration and international supply chain resilience would be useful areas of future work. This analysis will inform our respective policy approaches, which will in part be shaped by our underlying industrial and consumer structures. Where appropriate and relevant, we will engage partners beyond the G7.
    3. We recognize a significant increase in international low-value shipments being sent to our economies in a decentralized manner, and the potential for this to overwhelm and take advantage of customs controls and duty and tax collection infrastructure. Collectively, we recognize the potential for illicit drug trafficking, the importation of counterfeit goods, the misclassification of merchandise, revenue leakage, inequity for our retailers, and significant environmental waste. We commit to exploring ways that our low-value importation systems could address these risks.

    Support for Ukraine

    1. We condemn Russia’s continued brutal war against Ukraine and commend the immense resilience from the Ukrainian people and economy. Ukraine has suffered significant destruction. The G7 remains committed to unwavering support for Ukraine in defending its territorial integrity and right to exist, and its freedom, sovereignty and independence toward a just and durable peace.
    2. We welcome ongoing efforts to achieve a ceasefire. If such a ceasefire is not agreed, we will continue to explore all possible options, including options to maximize pressure such as further ramping up sanctions. We reaffirm that, consistent with our respective legal systems, Russia’s sovereign assets in our jurisdictions will remain immobilized until Russia ends its aggression and pays for the damage it has caused to Ukraine.
    3. We agree that private sector mobilization will be important in the recovery and reconstruction of Ukraine, with costs estimated by the WBG at US$524 billion over the next decade. We collectively commit to help build investor confidence through bilateral and multilateral initiatives. To this end, in addition to the ongoing support through the MIGA SURE (Support for Ukraine’s Reconstruction and Economy) trust fund, we will work, including through the Ukraine Donor Platform, with the Government of Ukraine, international financial institutions (IFIs), and the insurance industry towards removing the blanket ban imposed on Ukraine as soon as possible. We will continue to coordinate support to promote the early recovery and reconstruction of Ukraine, including at the Ukraine Recovery Conference, which will take place in Rome on July 10-11, 2025. Further, we agree to work together with Ukraine to ensure that no countries or entities, or entities from those countries that financed or supplied the Russian war machine will be eligible to profit from Ukraine’s reconstruction.

    Bolstering Long-term Growth and Productivity

    1. We agree on the importance of pursuing public policies that spur innovation, raise productivity and promote greater labour force participation. In an environment of high public debt and increasing fiscal pressures, we also agree that raising long-term growth potential is essential to manage risks to fiscal sustainability and increase wages and living standards.
    2. We discussed and shared experiences on how best to pursue growth-enhancing policies in a fiscally prudent manner. We agree that structural reforms can help set the foundations for strong and sustainable economic growth. We recognize that specific growth policies need to be adapted to each country’s needs and circumstances. We agree that maintaining a stable and predictable macroeconomic environment is important for strong growth and productive long-term investment.

    Artificial Intelligence

    1. We deepened our understanding of prospects for AI to raise productivity growth, and of the policies needed to realize the benefits. We appreciate the framework provided by the OECD to better quantify and monitor AI-driven productivity gains. We recognized the benefits of AI for the financial sector and the need to monitor and assess potential risks to financial stability as AI adoption further increases.

    Financial Sector Issues

    1. We are committed to a strong, resilient and stable financial sector. We reiterate that a continued focus on financial stability and regulatory issues remains vital to ensure the effective functioning of the financial system. We noted our support for the important work of the FSB and Standard Setting Bodies. We focused on non-bank financial intermediaries, which play an increasingly important role in financing the real economy. Their activities can contribute to the efficiency of financial markets but can also pose risks to the global financial system. We discussed sources of potential risk, including those from liquidity mismatch, leverage and interconnectedness. We agree on the need to assess non-bank data availability, use and quality and to share knowledge and approaches to monitoring and assessing potential risks.
    2. Enhancing cross-border payments can have widespread benefits for citizens and economies worldwide. We remain committed to delivering cheaper, faster, more transparent and more accessible cross-border payments while maintaining their safety, resilience, and financial integrity. This includes supporting the implementation of the G20 Roadmap as well as appropriate future actions as necessary to meet these goals.
    3. Cyber risks threaten to disrupt global financial systems and the institutions that support them. To address the evolving cyber threat landscape, we will continue to take action to further strengthen our shared response capabilities and protocols in the event of a significant cyber incident. We look forward to the G7 Cyber Expert Group’s assessment of the risks and opportunities that AI presents for cybersecurity.
    4. The potential effects of quantum technologies on the global financial landscape are becoming increasingly visible. Our central banks will explore how we can identify, categorize and mitigate potential risks to data security and financial stability and promote economic resilience.

    Financial Crime Call to Action

    1. We remain steadfast in our commitment to tackling financial crime, including money laundering, terrorist financing and the financing of proliferation of weapons of mass destruction (AML/CFT/CPF). We endorse a “Financial Crime Call to Action” to spur further progress and collective efforts of the Financial Action Task Force (FATF) and its Global Network. By bringing together over 200 jurisdictions around the world, the FATF is the ultimate international standard setter, and we welcome its leadership in combatting financial crime since its creation by the G7 in 1989.
    2. Through strengthening our AML/CFT/CPF frameworks and enhanced international cooperation we will endeavor to stay abreast of emerging risks, understand the role of technology and deepen the responsible exchange of information to make it harder for criminals to access the financial system and evade detection.
    3. We recognize financial crime acts as a barrier to growth, development and stability, and support efforts to strengthen frameworks in lower capacity countries. We encourage the international community to join us in this Call to Action and strengthen our collective response to financial crime.

    Support for Developing Countries

    1. We reaffirm our commitment to the ongoing implementation of the World Bank-led Resilient and Inclusive Supply-Chain Enhancement (RISE) Partnership and recognize its progress toward better integrating low- and middle-income countries in the global supply chain of clean energy products, especially in Africa. We welcome the adoption of a country roadmap in Zambia. We encourage the World Bank to further advance this initiative, and we look forward to the launch of the first local and regional information platforms in Africa. We support the expansion of RISE’s activities to Latin America and the Caribbean, and a better integration of all segments of the critical mineral supply chain. We call on Multilateral Development Banks (MDBs) to strengthen collaboration on critical mineral supply chains amongst themselves and with other key stakeholders. We also highlighted linkages to G20 initiatives facilitating private sector development, such as the G20 Compact with Africa.
    2. We recognize that global crises, including health crises and natural disasters, pose significant challenges for all economies, with particularly severe impacts on vulnerable states, including small ones. We reaffirm the importance of strengthening support for these countries by facilitating domestic resource mobilization as well as the use and uptake of crisis preparedness and response tools, including Climate Resilient Debt Clauses and insurance, to help ease fiscal pressures. We encourage the IMF and MDBs to strengthen their focus on crisis prevention in order to reduce the incidence of crises materializing.
    3. We call on the international community to make efforts to support vulnerable countries facing debt challenges. We look forward to the G20 work on improving the implementation of the Common Framework for debt treatments in a predictable, timely, orderly, and coordinated manner. We also agree on the importance of advancing debt transparency to support sound economic governance and financial stability. We call on the international community to make efforts to support vulnerable countries whose debt is sustainable but face near-term liquidity challenges. We recognize the need for continued efforts with all partners, public and private, to enhance the availability and quality of debt data, including through the Data Sharing Exercise with the World Bank.
    4. We reaffirm our commitment to achieving more effective and impactful MDBs through reforms aiming to ensure that they work effectively as a system to address the most pressing global challenges, deliver on their core mandate, and use their resources as efficiently as possible, including by implementing the recommendations from the G20 Capital Adequacy Framework Review. We urge MDBs to continue to step up their efforts to mobilize private capital and enhance domestic resource mobilization in emerging markets and developing countries. We emphasize the importance of implementing quality-based procurement policies and procedures that promote efficiency, competition from the private sector, and transparency.

    G7 Financial Crime Call to Action

    The G7 Finance Ministers and Central Bank Governors remain steadfast in our commitment to tackling financial crime, including money laundering, terrorist financing and the financing of proliferation of weapons of mass destruction (AML/CFT/CPF).

    In 1989, the G7 created the Financial Action Task Force (FATF) to “prevent the utilization of the banking system and financial institutions for the purpose of money laundering” and was soon joined by many other countries and jurisdictions which shared the same concerns and volunteered for a global effort against financial crime. Since its establishment, the FATF’s mandate and standards have expanded to include the combatting of financing of terrorism and the financing of proliferation of weapons of mass destruction. The transnational nature of money laundering, malicious nature of its predicate crimes, and integrated nature of our economies necessitate a collective approach to combatting illicit finance. 2025 marks the 35-year anniversary of the FATF’s “40 Recommendations”, which were developed collectively by FATF members and are now being implemented in more than 200 jurisdictions worldwide thanks to the joint efforts of the FATF Global Network.

    The Intersection of Crime, Security, and Economic Prosperity

    Organized criminals, including cartels, are exploiting gaps in global AML safeguards to launder the profits of their criminal activities such as drug trafficking (including fentanyl and synthetic opioids), fraud, cybercrimes, and human smuggling that generate billions in illicit revenue annually. These crimes are not only having a devastating impact on our communities, but they are also impacting national security and economic integrity as profits are re-invested into vast criminal networks that seek to undermine the rule of law and destabilize our governments and economies.

    Financial crime is also harming global economic growth. The International Monetary Fund has found that illicit finance reduces productivity, widens inequality, inhibits legitimate investment and hinders an effective allocation of resources. The World Bank has found that financial crimes are a barrier to development sparking political instability, deterring private capital, undermining good governance and the rule of law, and generally eroding trust in governments and institutions. Illicit finance also robs treasuries of badly needed tax revenue at a time when so many economies around the world are facing historically high debt levels.

    The World Bank sees tackling illicit finance in low-capacity countries as vital to their development priorities and requiring sustained engagement. Strengthening AML/CFT/CPF capacity in developing and low-capacity countries would improve financial inclusion and further deprive international organized crime groups of opportunities to launder their illicit proceeds or finance terrorism.

    In this context, technically sound and effective AML/CFT/CPF frameworks contribute to safer communities, our collective security, and to stronger economies in the G7 and around the globe.  

    The Way Forward

    Under the Canadian G7 Presidency, Finance Ministers and Central Bank Governors have taken stock of the fight we launched in 1989 and identified areas for further action. Today, we endorse the present Financial Crime Call to Action to strengthen global security, protect financial sector integrity, and foster economic growth and economic development.

    Strengthening our Frameworks

    • We re-commit to the founding principles of the FATF and will continue to actively support the organization.
      • The FATF is the ultimate AML/CFT/CPF standard setter that catalyzes improvements in members’ AML/CFT/CPF regimes. It is essential to maintain the FATF’s role at the centre of the global fight against illicit finance.
      • We commit to ensuring that the FATF remains a technical body that produces in-depth and impartial peer reviews and research that inform our ongoing understanding of risk.
    • We commit to improving the effectiveness of our respective AML/CFT/CPF regimes. The G7 must lead by example.
      • G7 financial systems remain the most interconnected in the world and continue to represent attractive targets for bad actors seeking to launder ill-gotten gains. The G7 will continue to improve our effectiveness in preventing the proceeds of crime from entering our financial sectors, detecting and disrupting money laundering threats, sanctioning criminals and depriving them of their illegitimate proceeds in a manner consistent with our domestic legal frameworks.
      • Shell companies are enablers for criminals to hide proceeds of crime and engage in illicit activities, such as large-scale tax and sanctions evasion. Ensuring that competent authorities, particularly law enforcement, have sufficient resources and tools to investigate and prosecute money laundering, terrorist financing, and proliferation financing involving shell companies is critical to fighting financial crime.
      • The procurement of dual use and military technology through circumvention of sanctions violates United Nations Security Council Resolutions and undermines global security. We commit to enhancing implementation of our targeted financial sanctions and ensuring they are the most effective in the world.

    Enhancing International Cooperation

    • We will stay abreast of emerging risks tied to money laundering, terrorist financing and proliferation financing through research and the development of joint typologies and strategic intelligence.
      • We express our serious concerns that virtual asset thefts and scams, including by the Democratic People’s Republic of Korea, have reached unprecedented levels. These threats, as well as the methods used by criminals to launder their proceeds, must be better understood and addressed. This is necessary to raise awareness, enhance prevention, and mitigate money laundering as well as being critical to promoting responsible innovation in virtual assets and protecting virtual asset users in our jurisdictions. We will further research and exchange information such as typology work on emerging risks related to virtual assets, including from the perspectives of cybersecurity and AML/CFT/CPF, and take necessary measures.
      • We recognize that illicit actors will continue to take advantage of jurisdictional differences in approaches to countering sanctions evasion and the financing of proliferation. Therefore, we commit to work together to maintain an up-to-date and common understanding of relevant threats, vulnerabilities, and typologies to prevent and combat complex proliferation financing and sanctions evasion schemes.
    • We must break down silos and deepen the responsible exchange of information internationally to make it harder for criminals to access the financial system and evade detection.
      • Bad actors are exploiting silos within, and across, AML/CFT/CPF regimes to conceal their actions. In response, we will improve risk-based and secure information sharing internationally between our national competent authorities, and domestically amongst the private sector and between public and private sector partners, consistent with our domestic legal frameworks. Facilitating this type of information sharing supports G7 efforts to mitigate the negative impacts of fraud on our businesses and citizens and to combat illicit activities by transnational organized crime groups, including cartels.
      • Many of our financial institutions operate across G7 markets. We will encourage deeper cooperation between our regulators who supervise on a group-wide basis. We commit to ensuring that our AML/CFT/CPF supervision is risk-based, effective and focused on stopping financial crime. We will also ensure that sanctions for non-compliance are proportionate, dissuasive and effective.

    Addressing Financial Crime as a Barrier to Growth and Stability

    • We will support efforts to strengthen AML/CFT/CPF frameworks in lower capacity countries to foster growth and economic development.
      • This can be achieved through many channels, including bilateral and multilateral assistance and collaboration. This work will ensure the G7 together with other FATF members keep pace with evolving regional risks, and support asset recovery to further deprive criminals of illicit proceeds and reduce opportunities for money laundering.
      • The FATF and its Global Network of nine FATF-Style Regional Bodies (FSRBs), which bring together more than 200 jurisdictions and 20 observer international organizations, are at the heart of the global fight against financial crime. We reiterate our commitment to supporting the FSRBs in overseeing the consistent and effective implementation of the FATF standards worldwide, including in the next round of mutual evaluations.
    • We commit to supporting the effective implementation of AML/CFT/CPF measures that are risk-based and proportionate.
      • We recognize that a risk-based approach can promote economic development and financial inclusion by encouraging assessments of risk, identifying lower and higher risk scenarios, and implementing simplified AML/CFT/CPF measures in certain scenarios proportionate to the relevant risks. 
      • By implementing the revised FATF standards, we will facilitate legitimate funds continuing to move through the formal financial sector, promoting economic development and financial inclusion while mitigating unintended consequences.
    • We commit to exploring the role of technology in AML/CFT/CPF implementation.
      • We encourage adoption of new technologies that can more effectively detect, report and interdict illicit finance. This includes partnering with the private sector to understand how emerging technologies (including artificial intelligence) can be used to improve the efficiency and effectiveness of AML/CFT/CPF regimes. This should be consistent with our respective domestic legal frameworks and risk-based, while ensuring data protection and human rights.
      • We continue to support the FATF’s initiatives to accelerate global implementation of its standards on virtual assets and virtual asset service providers (VASPs) as well as its work on emerging risks, including those that arise from misuse of stablecoins and peer-to-peer transactions, offshore VASPs, and decentralized finance (DeFi) arrangements.
      • We are contributing to the FATF’s ongoing work to strengthen its Standards on Payment Transparency to adapt to changes in payment business models and messaging standards and to foster payment systems that are more transparent, inclusive, accessible, safe and secure, while enabling faster and cheaper transactions, including remittances. Consistent with this work, we also support the G20 Roadmap for Enhancing Cross-border Payments.

    Lastly, we commit to furthering this work under the French G7 Presidency in 2026, in coordination with all FATF members, and to report on the actions taken to implement the commitments in this Call to Action.

    We encourage all countries to join us in this Call to Action. The international community can, and must, strengthen our collective response to financial crime and its impact on communities, security, and prosperity.

    MIL OSI Canada News

  • MIL-OSI USA: PHILADELPHIA – Governor Shapiro to Highlight Positive Results of Historic Investments in K-12 Public Education, Importance of Continuing to Deliver for PA Students

    Source: US State of Pennsylvania

    May 23, 2025Philadelphia

    ADVISORY – PHILADELPHIA – Governor Shapiro to Highlight Positive Results of Historic Investments in K-12 Public Education, Importance of Continuing to Deliver for PA Students

    Governor Josh Shapiro will visit A. Philip Randolph Career and Technical High School to meet with students, teachers, and legislators and highlight how the historic funding he secured for public K-12 education is leading to positive results in schools across the Commonwealth. In his first two budgets, Governor Shapiro secured historic investments in our public schools, students, and teachers, delivering the largest increase in K-12 education funding in Pennsylvania history – and schools are now putting those investments to work.

    Governor Shapiro’s 2025-26 budget proposal builds on that foundation by proposing new funding for K-12 public education, with a focus on driving more dollars to the schools that need them most. It also continues our progress to build strong and safe school communities, hire and support our teachers, and expand mental health resources. The Governor’s budget creates more opportunity for our students and builds on our progress to bring vo-tech back into the classroom with a $5.5 million increase for Career and Technical Education (CTE).

    WHO:
    Governor Josh Shapiro
    Acting Secretary Carrie Rowe, Department of Education
    Dr. Tony Watlington, School District of Philadelphia Superintendent
    Arthur Steinberg, AFTPA President

    WHEN:
    Friday, May 23, 2025, at 10:00AM

    WHERE:
    A. Philip Randolph Career and Technical High School
    3101 Henry Avenue,
    Philadelphia, PA 19129

    LIVE STREAM:
    pacast.com/live/gov
    governor.pa.gov/live/

    RSVP:
    Press who are interested in attending must RSVP with the names and phone numbers for each member of their team to ra-gvgovpress@pa.gov.

    MIL OSI USA News

  • MIL-OSI USA: California Department of Justice Investigating El Centro Police Department Officer-Involved Shooting Under AB 1506

    Source: US State of California

    Thursday, May 22, 2025

    Contact: (916) 210-6000, agpressoffice@doj.ca.gov

     **The information provided below is based on preliminary details regarding an ongoing investigation, which may continue to evolve**

    OAKLAND – California Attorney General Rob Bonta today announced that the California Department of Justice (DOJ), pursuant to Assembly Bill 1506 (AB 1506), is investigating and will independently review an officer-involved shooting (OIS) that occurred in El Centro, California on Wednesday, May 21, 2025 at approximately 8:10 p.m. The OIS incident resulted in the death of one individual and involved personnel from the El Centro Police Department. 

    Following notification by local authorities, DOJ’s California Police Shooting Investigation Team initiated an investigation in accordance with AB 1506 mandates. Upon completion of the investigation, it will be turned over to DOJ’s Special Prosecutions Section within the Criminal Law Division for independent review. Anyone who has information related to this officer-involved shooting incident and wishes to report it may do so by calling (916) 210-2871. 

    More information on the California Department of Justice’s role and responsibilities under AB 1506 is available here: https://oag.ca.gov/ois-incidents.

    # # #

    MIL OSI USA News

  • MIL-OSI Europe: Press release – Court of Auditors: MEPs back Croatian candidate Ivana Maletić

    Source: European Parliament

    On Thursday, Parliament endorsed Ivana Maletić for a second term as Croatia’s Member of the European Court of Auditors.

    Maletić, whose appointment was endorsed by the Committee on Budgetary Control on 14 May 2025, has been serving on the European Court of Auditors since 2019. Prior to that, she served as an MEP from 2013 to 2019, following a career in Croatia’s Ministry of Finance. Maletić holds a master’s degree in accounting, auditing and finance from the University of Zagreb, and is currently working on a PhD with the University of Rijeka.

    MEPs backed Maletić’s nomination in a secret ballot, by 460 votes in favour and 72 against, and with 59 abstentions.

    Next steps

    The final decision will be taken by EU member states in the Council.

    Background

    As stipulated in the EU Treaty, each member state proposes one candidate to serve on the European Court of Auditors. The Council of the EU, after consulting the European Parliament, adopts the list of members for a six-year term.

    MIL OSI Europe News

  • MIL-OSI Security: L3 Technologies Inc. Agrees to Pay $62,000,000 to Resolve False Claims Act Allegations arising from Submission of False Cost or Pricing Data on Defense Contracts

    Source: United States Attorneys General 7

    L3 Technologies Inc., a corporation doing business in Utah, has agreed to pay the United States $62 million to settle allegations that its division, Communications System West, violated the False Claims Act and the Truth In Negotiations Act by knowingly making false statements and submitting and causing the submission of false claims by failing to disclose accurate, current, and complete cost or pricing data for communications equipment sold to various Department of Defense agencies, including the Air Force, Army, and Navy, and other government agencies.

    L3 manufactures communications equipment to operate unmanned vehicles and retrieve data and visuals for military operations and intelligence. The devices are known as remote operations video enhanced receivers (ROVER), Video-Oriented Transceivers for Exchange of Information (VORTEX), and Soldier Intelligence, Surveillance, and Reconnaissance (SIR) receivers.  The United States has purchased ROVER, VORTEX, and SIR products through sole source, fixed price contracts, and L3 also has supplied these products under subcontracts with other prime contractors who manufacture unmanned vehicles.

    The settlement resolves allegations that, between October 2006 and February 2014, L3 failed to disclose accurate, complete, and current cost or pricing data relating to the labor, material, and other costs for manufacturing the ROVER, VORTEX, and SIR products, and each of their versions and kits, and falsely certified that it had done so in dozens of government contract proposals.  The United States alleged that this conduct violated the Truth in Negotiations Act, which requires a contractor to provide to the government at the time of an agreement on price the most current, complete, and accurate facts that could reasonably be expected to affect price negotiations significantly.  The United States further alleged that, by failing to disclose accurate, complete, and current cost or pricing data, L3 knowingly submitted or caused the submission of false claims in connection with the ROVER, VORTEX, and SIR contracts and subcontracts in violation of the False Claims Act.

    “The Department will vigorously pursue federal contractors who fail to provide truthful information during contract negotiations to ensure federal agencies do not overpay for products and services.” said Acting Assistant Attorney General Yaakov M. Roth of the Justice Department’s Civil Division.

    “Taking advantage of the resources that support the armed forces of the United States and other government agencies will not be tolerated,” said Acting United States Attorney Felice John Viti of the District of Utah. “The U.S. Attorney’s Office will continue to work with our law enforcement partners to investigate and hold accountable individuals and contractors who defraud the government.”

    “This $62 million settlement underscores the Air Force Office of Special Investigations (OSI) commitment to protecting national security and ensuring the integrity of Department of Defense acquisitions.,” stated OSI Special Agent Jeffery T.E. Herrin. “L3’s defective pricing in contract proposals for critical systems like ROVER, VORTEX, and SIR erodes public trust, and OSI, through robust law enforcement partnerships, will continue to uphold law and order within the defense industry.”

    “This settlement is the result of a collaborative effort to guard against fraud, waste, and abuse, demonstrating the commitment of the Army Criminal Investigation Division (CID) and our partner agencies to safeguard public funds,” said Special Agent in Charge Olga Morales of the Department of the Army CID Southwest Field Office. “Investigating companies that defraud the Army is crucial to maintaining the trust of the American public and upholding the integrity of government contracting.”

    The settlement resulted from a coordinated effort among the Civil Division’s Fraud Section and the U.S. Attorney’s Office for the District of Utah with assistance from the Defense Contract Management Agency, the Department of the Air Force, the Department of the Army, the Department of the Navy, and the Special Operations Command.  Senior Trial Counsel A. Thomas Morris and former Senior Trial Counsel Russell Kinner of the Civil Division’s Commercial Litigation Branch, Fraud Section, and Assistant U.S. Attorney Carra Cadman for the District of Utah handled the matter.

    The claims resolved by the settlement are allegations only and there has been no determination of liability.

    MIL Security OSI

  • MIL-OSI Africa: International Islamic Trade Finance Corporation (ITFC) Concludes Successful Participation at the Islamic Development Bank (IsDB) Group Annual Meetings with Nearly US$ 2.6 Billion in Signed Agreements

    Source: Africa Press Organisation – English (2) – Report:

    ALGIERS, Algeria, May 22, 2025/APO Group/ —

    The International Islamic Trade Finance Corporation (ITFC) (www.ITFC-IDB.org), a member of the Islamic Development Bank (IsDB) Group, concluded its participation at the 2025 IsDB Group Annual Meetings in Algiers with a series of impactful achievements that underscore its role as a leading catalyst for trade and economic development in the OIC Member Countries and with the rest of the world. With a total of US$2.6 billion of agreements signed, the Corporation reaffirmed its strong commitment to supporting the socio-economic and development priorities of its member countries. These included sovereign and private sector-focused facilities, new partnerships, and strategic engagements designed to enhance trade resilience, food and energy security, and SME growth. 

    During the meetings, ITFC signed a landmark five-year framework agreement with the Republic of Senegal with total envelope amount of EUR 2 billion to support key sectors such as energy, agriculture, healthcare, and the development of small and medium-sized enterprises. Another key sovereign financing was announced with the Republic of Guinea, to provide a Murabaha trade finance facility through the Central Bank of Guinea to support the import of petroleum products and essential commodities. ITFC signed a US$100 million Murabaha facility with EBID to facilitate imports of essential commodities for private sector clients across Member Countries. Meanwhile, ITFC also renewed its strategic partnership with Afreximbank through a US$300 million Murabaha financing agreement, aimed at securing food and energy supplies and enhancing intra-African trade flows. 

    A strong focus was placed on supporting the private sector and expanding Islamic trade finance tools. ITFC signed US$10 million in Mudaraba financing with Uzbekistan’s Smartbank and signed another agreement with Agrobank to increase the total financing amount to US$ 25 million aimed at providing Shariah-compliant financing to the country’s growing private sector. Furthermore, a EUR 20 million Murabaha facility was signed with Albaraka Türk to boost access to finance for SMEs and private sector clients in Turkiye.  

    Another milestone signing was in favor of Algeria where ITFC signed a US$100 million syndicated LC confirmation facility with Crédit Populaire d’Algérie (CPA) Bank to support trade transactions of both public and private sector clients, with a special emphasis on SME development. Additionally, ITFC inked a EUR 10 million facility with Crédit Communautaire d’Afrique (CCA) Bank in Cameroon, a EUR 10 million facility with Commercial Bank Cameroon, and a US$15 million Murabaha agreement with The Alternative Bank  in Nigeria to support agricultural pre-exports and essential equipment imports. 

    The meetings with Officials and Stakeholders also provided an opportunity to strengthen regional trade development platforms. A grant agreement under the AfTIAS 2.0 program was signed with the government of Algeria to enhance cross-border trade with Tunisia. These partnerships were complemented by ITFC’s hosting of high-level dialogues during the Private Sector Forum, including a panel on trade facilitation and regional integration and a knowledge-sharing event exploring complementarities in trade and economic diversification across the OIC region. 

    The successful conclusion of the 2025 Annual Meetings reflects ITFC’s steadfast commitment to delivering integrated trade solutions that are both impactful and inclusive. By signing close to US$2.6 billion in new financing and partnership agreements, ITFC continues to strengthen its interventions that boost supply chains, promote Islamic finance, unlock new opportunities for sustainable development and improve the wellbeing of the people across its member countries.  

    MIL OSI Africa

  • MIL-OSI: Clear Street Investment Banking Expands Blockchain and Digital Assets Franchise

    Source: GlobeNewswire (MIL-OSI)

    Managing Directors Mehta and Finnerty to Lead Dedicated Team

    Proud Sponsor of Nakamoto’s Bitcoin 2025, Next Week in Las Vegas

    WEST PALM BEACH, Fla., May 22, 2025 (GLOBE NEWSWIRE) — Clear Street Investment Banking (“Clear Street” or “the Company”), an investment banking firm providing a full suite of strategic advisory, transaction and creative capital solutions to companies and investors across high-growth sectors such as technology, healthcare, energy and beyond, today announced the expansion of its Blockchain and Digital Assets Investment Banking Franchise, anchored by new senior hires. The initiative underscores the firm’s commitment to providing institutional-grade advisory solutions at the intersection of traditional finance, blockchain and digital assets. The initiative also complements Clear Street’s equity research platform, which includes coverage of companies across the disruptive technology space.

    John D’Agostini and Nicholas Hemmerly, Co-Heads of Clear Street Investment Banking said, “The digital asset landscape is entering a new phase of institutional adoption, where this asset class and its underlying blockchain technology are no longer experimental, but increasingly essential to corporate strategy. As companies in this sector continue to scale and navigate global capital markets, and as more and more corporates integrate Bitcoin and other cryptocurrencies into their treasury plans, it’s critical to have the best advisors who understand both the promise of this technology and the complexity of operating across legacy and emerging financial ecosystems. Nakul and Collin bring the deep expertise needed to guide clients through this evolution.”

    Joining the firm as Managing Directors are Nakul Mehta and Collin Finnerty, who will lead the division’s coverage across cryptocurrency, blockchain, crypto infrastructure, Web3 and digital asset platforms. Both bring a decade of experience advising high-growth companies and investors across capital markets and M&A transactions. Prior to joining Clear Street, Mehta and Finnerty were leaders at MJC Partners and BTIG, focused on fintech and digital assets.

    Select services the Clear Street Investment Banking team will advise on in the blockchain and digital assets space include:

    • Go-Public Strategy & Capital Raising: Initial Public Offerings, primary and secondary equity offerings, private placements, venture funding and debt advisory for digital asset companies scaling in highly regulated environments.
    • Cryptocurrency Treasury Strategy: Helping clients initiate and properly structure their digital treasury strategy.
    • Mergers & Acquisitions: Strategic M&A, divestitures and cross-border transactions involving digital asset infrastructure and cryptocurrency products.
    • Strategic Partnerships & Corporate Development: Advisory for traditional financial institutions and corporates seeking entry into digital markets through joint ventures or investment.

    Ed Tilly, Chief Executive Officer of Clear Street said, “The investment bank’s expansion across sectors like tech, healthcare and now, blockchain and digital assets, nicely complements our global brokerage platform providing financing, derivatives products and sales & trading, enabled by our cloud-native, next-gen financial technology stack. With a foundational emphasis on a world-class client experience, Clear Street is empowering market participants across geographies and asset classes, and today’s announcement is yet another exciting client solution.”

    Clear Street’s Investment Banking division has advised on more than $2.35 billion in transactions year-to-date, including IPOs of Renatus Tactical Acquisition Corp and Digital Asset Acquisition Corp. and a series of IPOs, capital raises and strategic advisory roles across technology, healthcare and other sectors.

    Clear Street is sponsoring Bitcoin 2025, presented by Nakamoto taking place from May 27-29, 2025 at the Venetian in Las Vegas. Please click here to be in touch with the team during the event.

    About Clear Street:
    Clear Street is modernizing the brokerage ecosystem with financial technology and services that empower market participants with real-time data and best-in-class products, tools and teams, to navigate capital markets around the world. Complemented by white-glove service, Clear Street’s cloud-native, proprietary product suite delivers financing, derivatives, execution and more to power client success, adding efficiency to the market and enabling clients to minimize risk, redundancy and cost. Clear Street’s goal is to create a single platform for every asset class, in every country and in any currency. For more information, visit https://clearstreet.io.

    Media Contact:
    press@clearstreet.io

    The MIL Network

  • MIL-OSI USA: US Department of Labor recovers $207K in back wages, damages for 157 workers after Michigan-based contractor failed to pay correct overtime wages

    Source: US Department of Labor

    LOUISVILLE, KY – The U.S. Department of Labor has recovered more than $207,470 in back wages and damages for 157 workers after finding a Michigan-based electrical services contractor failed to pay proper overtime rates to workers at job sites in Arizona and Kentucky.

    Investigators with the department’s Wage and Hour Division found that M.J. Electric LLC did not include non-discretionary bonuses in employees’ regular rate of pay when calculating overtime pay, a violation of the Fair Labor Standards Act. The investigation initially revealed the overtime violation at the Tennessee Valley Authority’s Paradise Simple Cycle Project in Drakesboro, Kentucky. The investigation was expanded after similar violations were found at an M.J. Electric project in Ehrenberg, Arizona.

    In addition to collecting $207,470 in back wages and damages, the division assessed the company a $19,782 civil money penalty for a repeat FLSA violation. In 2018, the department investigated M.J. Electric and found the company violated federal law by not properly paying overtime on non-discretionary bonuses. 

    “The U.S. Department of Labor is committed to holding employers accountable, especially when they deny employees their hard-earned wages,” said Wage and Hour Division Acting District Director Wildali De Jésus in Louisville, Kentucky. “We urge employers who are unsure of their obligations to contact us for assistance to avoid compliance issues.”

    A subsidiary of Quanta Services, M.J. Electric LLC is headquartered in Iron Mountain, Michigan. The contractor provides electrical services such as power line work and power generation throughout the U.S.

    For more information about compliance assistance and employee rights enforced by the division, contact the toll-free helpline at 866-4US-WAGE (487-9243). Learn more about the Wage and Hour Division, including a search tool that workers can use if they think they may be owed back wages collected by the division.

    Download the agency’s free Timesheet App for Android and iPhone devices to ensure hours and pay are accurate.

    MIL OSI USA News

  • MIL-OSI USA: Following Uber’s Reported ‘Congestion’ Overcharge, IAM, SEIU-led Illinois Drivers Alliance Call on Chicago City Council to Launch Investigation

    Source: US GOIAM Union

    Scores of rideshare drivers rallied outside Chicago City Hall to demand accountability from Uber after the company imposed an allegedly unauthorized $1.50 “congestion surcharge” on riders, which according to public reports, was done without City approval or public notice. The rally and press conference, organized by the Illinois Drivers Alliance – a coalition powered by SEIU Local 1 and IAM Local 701 – alongside the Chicago Gig Alliance, urged members of the Chicago City Council to hold formal investigative hearings into Uber’s actions. 

    During the event, a statement was read on behalf of Alderperson Silverstein announcing that she would be launching investigative hearings through the City Council’s Committee on Pedestrian and Traffic Safety to uncover how Uber may have allegedly imposed the surcharge outside of city regulations – and if needed, determine how to prevent a recurrence of the alleged charges. 

    The Statement from 50th Ward Alderwoman Debra Silverstein read: “No company should be allowed to operate in the City of Chicago without transparency and accountability. The unauthorized surcharge imposed by Uber, without the City’s approval or public disclosure, demands answers. That’s why, as Chair of the Committee on Pedestrian and Traffic Safety, I will be leading investigative hearings to get to the bottom of how this happened. Our job as alderpeople is to protect the public and ensure that nothing like this ever slips through the cracks again. Chicagoans deserve to know the truth, and drivers deserve fairness. This investigation, alongside the push for the Rideshare Living Wage and Safety Ordinance, is a critical step toward restoring trust and putting real guardrails on the industry.”

    “These unregulated rideshare corporations are reaping millions in profits off the backs of Chicago workers—while siphoning that revenue out of our city. These profits are generated here, by the people who live and work in Chicago. It’s time to hold these companies accountable and ensure that the wealth created in Chicago stays in Chicago,” said Ronnie Gonzalez, IAM Midwest Territory Special Representative. “The people of Chicago have a right to transparency, and rideshare drivers have a right to dignity and fair treatment. We support this investigation and the Rideshare Living Wage and Safety Ordinance. We’re glad to be part of the turning point in rideshare—bringing accountability to an industry that has operated without limits for too long.”

    “Rideshare companies don’t take us into account when it comes to prices, standards, safety, or any other decision that directly affects us and we deserve to be heard,” said Clyde Marshall, a Chicago area rideshare driver. “Uber just upcharged passengers a congestion fee, and the drivers didn’t see a dime while we were the ones who face the customers and drive in the congestion. That’s why I am here today with the Illinois Drivers Alliance fighting for our right to fair representation with a union.”

    Drivers also reiterated their call for the passage of the Rideshare Living Wage and Safety Ordinance, a critical measure that not only addresses pay and safety but also creates enforceable transparency standards to prevent future abuses in the rideshare industry.

    The post Following Uber’s Reported ‘Congestion’ Overcharge, IAM, SEIU-led Illinois Drivers Alliance Call on Chicago City Council to Launch Investigation appeared first on IAM Union.

    MIL OSI USA News

  • MIL-OSI USA: AI Data Security: Best Practices for Securing Data Used to Train & Operate AI Systems

    News In Brief – Source: US Computer Emergency Readiness Team

    Executive summary

    This Cybersecurity Information Sheet (CSI) provides essential guidance on securing data used in artificial intelligence (AI) and machine learning (ML) systems. It also highlights the importance of data security in ensuring the accuracy and integrity of AI outcomes and outlines potential risks arising from data integrity issues in various stages of AI development and deployment.

    This CSI provides a brief overview of the AI system lifecycle and general best practices to secure data used during the development, testing, and operation of AI-based systems. These best practices include the incorporation of techniques such as data encryption, digital signatures, data provenance tracking, secure storage, and trust infrastructure. This CSI also provides an in-depth examination of three significant areas of data security risks in AI systems: data supply chain, maliciously modified (“poisoned”) data, and data drift. Each section provides a detailed description of the risks and the corresponding best practices to mitigate those risks. 

    This guidance is intended primarily for organizations using AI systems in their operations, with a focus on protecting sensitive, proprietary, or mission critical data. The principles outlined in this information sheet provide a robust foundation for securing AI data and ensuring the reliability and accuracy of AI-driven outcomes.

    This document was authored by the National Security Agency’s Artificial Intelligence Security Center (AISC), the Cybersecurity and Infrastructure Security Agency (CISA), the Federal Bureau of Investigation (FBI), the Australian Signals Directorate’s Australian Cyber Security Centre (ASD’s ACSC), the New Zealand’s Government Communications Security Bureau’s National Cyber Security Centre (NCSC-NZ), and the United Kingdom’s National Cyber Security Centre (NCSC-UK). 

    The goals of this guidance are to: 

    1. Raise awareness of the potential risks related to data security in the development, testing, and deployment of AI systems;
    2. Provide guidance and best practices for securing AI data across various stages of the AI lifecycle, with an in-depth description of the three aforementioned significant areas of data security risks; and
    3. Establish a strong foundation for data security in AI systems by promoting the adoption of robust data security measures and encouraging proactive risk mitigation strategies.

    Download the PDF version of this report: 

    Introduction

    The data resources used during the development, testing, and operation of an AI1 system are a critical component of the AI supply chain; therefore, the data resources must be protected and secured. In its Data Management Lexicon, [1] the Intelligence Community (IC) defines Data Security as “The ability to protect data resources from unauthorized discovery, access, use, modification, and/or destruction…. Data Security is a component of Data Protection.” 

    Data security is paramount in the development and deployment of AI systems. Therefore, it is a key component of strategies developed to safeguard and manage the overall security of AI-based systems. Successful data management strategies must ensure that the data has not been tampered with at any point throughout the entire AI system lifecycle; is free from malicious, unwanted, and unauthorized content; and does not have unintentional duplicative or anomalous information. Note that AI data security depends on robust, fundamental cybersecurity protection for all datasets used in designing, developing, deploying, operating, and maintaining AI systems and the ML models that enable them.

    Audience and scope

    This CSI outlines potential risks in AI systems stemming from data security issues that arise during different phases of an AI deployment, and it introduces recommended protocols to mitigate these risks. This guidance builds upon the NSA’s joint guidance on Deploying AI Systems Securely [2] and delves deeper into securing the data used to train and operate AI-based systems. This guidance is primarily developed for organizations that use AI systems in their day-to-day operations, including the Defense Industrial Base (DIB), National Security System (NSS) owners, Federal Civilian Executive Branch (FCEB) agencies, and critical infrastructure owners and operators. Implementing these mitigations can help secure AI-enabled systems and protect proprietary, sensitive, and/or mission critical data.

    Securing data throughout the AI system lifecycle

    Data security is a critical enabler that spans all phases of the AI system lifecycle. ML models learn their decision logic from data, so an attacker who can manipulate the data can also manipulate the logic of an AI-based system. In the AI Risk Management Framework (RMF) [3], the National Institute of Standards and Technology (NIST) defines six major stages in the lifecycle of AI systems, starting from Plan & Design and progressing all the way to Operate & Monitor. The following table highlights relevant data security factors for each stage of the AI lifecycle: 

    Table 1: The AI System Lifecycle with key dimensions, necessary ongoing assessments, focus areas for data security, and particular data security risks covered in this CSI. [3] 
    AI Lifecycle Stage Key Dimensions Test, Evaluation, Verification, & Validation (TEVV) Potential Focus Areas for Data Security Particular Data Security Risks Covered in this CSI
    1) Plan & Design Application Context Audit & Impact Assessment Incorporating data security measures from inception, designing robust security protocols, threat modeling, and including privacy by design Data supply chain
    2) Collect & Process Data Data & Input Internal & External Validation Ensuring data integrity, authenticity, encryption, access controls, data minimization, anonymization, and secure data transfer Data supply chain,
    maliciously modified data
    3) Build & Use Model AI Model Model Testing Protecting data from tampering, ensuring data quality and privacy (including differential privacy and secure multi-party computation when appropriate and possible), securing model training, and operating environments   Data supply chain,
    maliciously modified data
    4) Verify & Validate AI Model Model Testing Performing comprehensive security testing, identifying and mitigating risks, validating data integrity, adversarial testing, and formal verification when appropriate and possible Data supply chain,
    maliciously modified data
    5) Deploy & Use Task & Output Integration, Compliance Testing, Validation Implementing strict access controls, zero-trust infrastructure, secure data transmission and storage, secure API endpoints, and monitoring for anomalous behavior Data supply chain,
    maliciously modified data,
    data drift
    6) Operate & Monitor Application Context Audit & Impact Assessment Conducting continuous risk assessments, monitoring for data breaches, deleting data securely, complying with regulations, incident response planning, and regular security auditing Data supply chain,
    maliciously modified data, data drift

    Throughout the AI system lifecycle, securing data is paramount to maintaining information integrity and system reliability. Starting with the initial Plan & Design phase, carefully plan data protection measures to provide proactive mitigations of potential risks. In the Collect & Process Data phase, data must be carefully analyzed, labeled, sanitized, and protected from breaches and tampering. Securing data in the Build & Use Model phase helps ensure models are trained on reliably sourced, accurate, and representative information. In the Verify & Validate phase, comprehensive and thorough testing of AI models, derived from training data, can identify security flaws and enable their mitigation. 

    Note that Verification & Validation is necessary each time new data or user feedback is introduced into the model; therefore, that data also needs to be handled with the same security standards as AI training data. Implementing strict access controls protects data from unauthorized access, especially in the Deploy & Use phase. Lastly, continuous data risk assessments in the Operate & Monitor phase are necessary to adapt to evolving threats. Neglecting these practices can lead to data corruption, compromised models, data leaks, and non-compliance, emphasizing the critical importance of robust data security at every phase.

    Best practices to secure data for AI-based systems

    The following list contains recommended practical steps that system owners can take to better protect the data used to build and operate their AI-based systems, whether running on premises or in the cloud. For more details on general cybersecurity best practices, see also NIST SP 800-53, “Security and Privacy Controls for Information Systems and Organizations.” [33]

    1. Source reliable data and track data provenance
    Verify data sources use trusted, reliable, and accurate data for training and operating AI systems. To the extent possible, only use data from authoritative sources. Implement provenance tracking to enable the tracing of data origins, and log the path that data follows through an AI system. [7],[8],[9] Incorporate a secure provenance database that is cryptographically signed and maintains an immutable, append-only ledger of data changes. This facilitates data provenance tracking, helps identify sources of maliciously modified data, and helps ensure that no single entity can undetectably manipulate the data.
    2. Verify and maintain data integrity during storage and transport
    Maintaining data integrity2 is an essential component to preserve the accuracy, reliability, and trustworthiness of AI data. [4] Use checksums and cryptographic hashes to verify that data has not been altered or tampered with during storage or transmission. Generating such unique codes for AI datasets enables the detection of unauthorized changes or corruption, safeguarding the information’s authenticity.

    3. Employ digital signatures to authenticate trusted data revisions
    Digital signatures help ensure data integrity and prevent tampering by third parties. Adopt quantum-resistant digital signature standards [5][6] to authenticate and verify datasets used during AI model training, fine tuning, alignment, reinforcement learning from human feedback (RLHF), and/or other post-training processes that affect model parameters. Original versions of the data should be cryptographically signed, and any subsequent data revisions should be signed by the person who made the change. Organizations are encouraged to use trusted certificate authorities to verify this process.
    4. Leverage trusted infrastructure
    Use a trusted computing environment that leverages Zero Trust architecture. [10] Provide secure enclaves for data processing and keep sensitive information protected and unaltered during computations. This approach fosters a secure foundation for data privacy and security in AI data workflows by isolating sensitive operations and mitigating risks of tampering. Trusted computing infrastructure supports the integrity of data processes, reduces risks associated with unverified or altered data, and ultimately creates a more robust and transparent AI ecosystem. Trusted environments are essential for AI applications where data accuracy directly impacts their decision-making processes.
    5. Classify data and use access controls
    Categorize data using a classification system based on sensitivity and required protection measures. [11] This process enables organizations to apply appropriate security controls to different data types. Classifying data enables the enforcement of robust protection measures like stringent encryption and access controls. [33] In general, the output of AI systems should be classified at the same level as the input data (rather than creating a separate set of guardrails).
    6. Encrypt data
    Adopt advanced encryption protocols proportional to the organizational data protection level. This includes securing data at rest, in transit, and during processing. AES-256 encryption is the de facto industry standard and is considered resistant to quantum computing threats. [12],[13] Use protocols, such as TLS with AES-256 or post-quantum encryption, for data in transit. Refer to NIST SP 800-52r2, “Guidelines for the Selection, Configuration, and Use of Transport Layer Security (TLS) Implementations” [14] for more details.
    7. Store data securely
    Store data in certified storage devices that enforce NIST FIPS 140-3 [15] compliance, ensuring that the cryptographic modules used to encrypt the data provide high-level security against advanced intrusion attempts. Note that Security Level 3 (defined in NIST FIPS 140-2 [16]) provides robust data protection; however, evaluate and determine the appropriate level of security based on organizational needs and risk assessments.
    8. Leverage privacy-preserving techniques 
    There are several privacy-preserving techniques [17] that can be leveraged for increased data security. Note that there may be practical limitations to their implementation due to computational cost.

    • Data depersonalization techniques (e.g., data masking [18]) involve replacing sensitive data with inauthentic but realistic information that maintains the distributions of values throughout the dataset. This enables AI systems to utilize datasets without exposing sensitive information, reducing the impact of data breaches and supporting secure data sharing and collaboration. When possible, use data masking to facilitate AI model training and development without compromising sensitive information (e.g., personally identifiable information [PII]).
    • Differential privacy is a framework that provides a mathematical guarantee quantifying the level of privacy of a dataset or query. It requires a pre-specified privacy budget for the level of noise added to the data, but there are tradeoffs between protecting the training data from membership inference techniques and target task accuracy. Refer to [17] for further details.
    • Decentralized learning techniques (e.g., federated learning [19]) permit AI system training over multiple local datasets with limited sharing of data among local instances. An aggregator model incorporates the results of the distributed models, limiting access on the local instance to the larger training dataset. Secure multi-party computation is recommended for training and inferencing processes.

    9. Delete data securely
    Prior to repurposing or decommissioning any functional drives used for AI data storage and processing, erase them using a secure deletion method such as cryptographic erase, block erase, or data overwrite. Refer to NIST SP 800-88, “Guidelines for Media Sanitization,” [20] for guidance on appropriate deletion methods.
    10. Conduct ongoing data security risk assessments
    Conduct ongoing risk assessments using industry-standard frameworks, such as the NIST SP 800-3r2, Risk Management Framework (RMF) [4][21], and the NIST AI 100-1, Artificial Intelligence RMF [3]. These assessments should evaluate the AI data security landscape, identify risks, and prioritize actions to minimize security incidents. Continuously improve data security measures to keep pace with evolving threats and vulnerabilities, learn from security incidents, stay up to date with emerging technologies, and maintain a robust security posture. 

    Data supply chain – risks and mitigations

    Relevant AI Lifecycle stages: 1) Plan & Design; 2) Collect & Process Data; 3) Build & Use Model; 4) Verify & Validate; 5) Deploy & Use; 6) Operate & Monitor

    Developing and deploying secure and reliable AI systems requires understanding potential risks and methods of introducing inaccurate or maliciously modified (a.k.a. “poisoned”) data into the system. In short, the security of AI systems depends on thorough verification of training data and proactive measures to detect and prevent the introduction of inaccurate material.

    Threats can stem from large-scale data collected and curated by third parties, as well as from data that is not sufficiently protected after ingestion. Data collected and/or curated by a third party may contain inaccurate information, either unintentionally or through malicious intent. Inaccurate material can compromise not only models trained using that data, but also any additional models that rely on compromised models as a foundation.  

    It is crucial, therefore, to verify the integrity of the training data used when building an AI system. Organizations that utilize third-party data must take appropriate measures to ensure that: 1) the data is not compromised upon ingestion; and 2) the data cannot be compromised after it has been incorporated into the AI system. As such, both data curators and data consumers should follow the best practices for digital signatures, data integrity, and data provenance that are described in detail above.

    General risks for data consumers3 

    The use of web-scale databases includes all of the risks outlined earlier, and one cannot simply assume that these datasets are clean, accurate, and free of malicious content. Third-party models trained on web-scraped data used to train a model for downstream tasks could also affect the model’s learning process and result in behavior that was unintended by the AI system designer.

    From the moment data is ingested for use with AI systems, the data acquirer must secure it against insider threats and malicious network activity to prevent unauthorized modification. 

    Mitigation strategies: 

    • Dataset verification: Before ingest, the consumer or curator should verify, as much as possible, that the dataset to be ingested is free of malicious or inaccurate material. Any detected abnormalities should be addressed, and suspicious data should not be stored. The dataset verification process should include a digital signature of the dataset at time of ingestion.
    • Content credentials: Use content credentials to track the provenance of media and other data. Content credentials are “metadata that are secured cryptographically and allow creators the ability to add information about themselves or their creative process, or both, directly to media content…. Content Credentials securely bind essential metadata to a media file that can track its origin(s), any edits made, and/or what was used to create or modify the content…. This metadata alone does not allow a consumer to determine whether a piece of content is ‘true,’ but rather provides contextual information that assists in determining the authenticity of the content.” [24]
    • Foundation model assurances: In the case where a consumer is not ingesting a dataset but a foundation model trained by another party, the developers of the foundation model need to be able to provide assurances regarding the data and sources used and certify that their training data did not contain any known compromised data. Take care to track the training data used in various model lineages. Exercise caution before using a model without such assurances.
    • Require certification: Data consumers should strongly consider requiring a formal certification from dataset and model providers, attesting that their systems are free from known compromised data before using third-party data and/or foundation models.
    • Secure storage: After ingest, data needs to be stored in a database that adheres to the best practices for digital signatures, data integrity, and data provenance that are described in detail above. Note that an append-only cryptographically signed database should be used where feasible, but there may be a need to delete older material that is no longer relevant. Each time a data element is updated (e.g., resized, cropped, flipped, etc.) for augmentation purposes in a non-temporary fashion, then the updated data should be stored as a new entry with documented changes. The database’s certificate should be verified at the time the database is accessed for a training run. If the database does not pass the certificate check, abort the training and conduct a comprehensive database audit to discover any data modifications. 

    2023 investigations by various industry professionals explored low-resource methods for introducing malicious or inaccurate material into web-scale datasets, and potential strategies to mitigate this risk.  [29] These vulnerabilities depend on the fact that curators or collectors do not have control over the data, as seen in cases of datasets curated by third parties (e.g., LAION) or datasets that are continually updated and released (e.g., Wikipedia). 

    Risk: Curated web-scale datasets

    Curated AI datasets (e.g., LAION-2B or COYO-700M) are vulnerable to a type of technique known as split-view poisoning. This risk arises because these datasets often contain data hosted on domains that may have expired or are no longer actively maintained by their original owners. In such cases, anyone who purchases these expired domains gains control over the content hosted on them. This situation creates an opportunity for malicious actors to modify or replace the data that the curated list points to, potentially introducing inaccurate or misleading information into the dataset. In many instances, it is possible to purchase enough control of a dataset to conduct effective poisoning for roughly $1,000 USD. In some cases, effective techniques can cost as little as $60 USD (e.g., COYO-700M), making this a viable threat from low-resource threat actors. 

    Mitigation strategies:

    • Raw data hashes: Data curators should attach a cryptographic hash to all raw data referenced in the dataset. This will enable follow-on data consumers to verify that the data has not changed since it was added to the list.
    • Hash verification: Data consumers should incorporate a hash check at time of download in order to detect any changes made to it, and the downloader should discard any data that does not pass the hash check.
    • Periodic checks: Curators should periodically scrape the data themselves to verify that the data has not been modified. If any changes are detected, the curator should take appropriate steps to ensure the data’s integrity.
    • Verifying data: Curators should verify that any changed data is clean and free from inaccurate or malicious material. If the content of the data has been altered in any way, the curator should either remove it from their list or flag it for further review.
    • Certification by curators: Since the data supply chain begins with the curators, the certification process must start there as well. To the best of their ability, curators should be able to certify that, at the time of publication, the dataset contains no malicious or inaccurate material. 

    Risk: Collected web-scale datasets

    Collected web-scale datasets (e.g., Wikipedia) are vulnerable to frontrunning poisoning techniques. Frontrunning poisoning occurs when an actor injects malicious examples in a short time window before websites with crowd-sourced content collect a snapshot of their data. Wikipedia in particular conducts twice-monthly snapshots of their data and publishes these snapshots for people to download. Since the snapshots happen at known times, it is possible for malicious actors to edit pages close enough to the snapshot time so that malicious edits will be captured and published before they can be discovered and corrected. Industry analysis demonstrated potential malicious actors would be able to successfully poison as much as 6.5% of Wikipedia. [29]

    Mitigation strategies:

    • Test & verify web-scale datasets: Be cautious when using web-scale datasets that are vulnerable to frontrunning poisoning. Check that the data hasn’t been manipulated, and only use snapshots verified by a trusted party.
    • (For web-scale data collectors) Randomize or lengthen snapshots: Collectors such as Wikipedia should defend against actors making malicious edits ahead of a planned snapshot by:
    1. Randomizing the snapshot order.
    2. Freezing edits to content long enough for edits to go through review before releasing the snapshot.

      These mitigations focus on increasing the amount of time a malicious actor must maintain control of the data for it to be included in the published snapshot. Any reasonable methods that increase the time a malicious actor must control the data are also recommended. 

      Note that these mitigations are limited since they rely on trusted curators who can detect malicious edits. It is more difficult to defend against subtle edits (e.g., attempts to insert hidden watermarks) that appear valid to human reviewers but impact machine understanding.

    Risk: Web-crawled datasets 

    Web-crawled datasets present a unique intersection of the risks discussed above. Since web-crawled datasets are substantially less curated than other web-scale datasets, they bring increased risk. There are no trusted curators to detect malicious edits. There are no original curated views to which cryptographic hashes can be attached. The unfortunate reality is that “updates to a web page have no realistic bound on the delta between versions which might act as a signal for attaching trust.” [29]

    Mitigation strategies:

    • Consensus approaches: Data consumers using web-crawled datasets should rely on consensus-based approaches, since notional determinations of which domains to trust are ad-hoc and insufficient. For example, an AI developer could choose to only trust an image-caption pair when it appears on many different websites to reduce susceptibility to poisoning techniques, since a malicious actor would have to poison a sufficiently large number of websites to be successful.
    • Data curation: Ultimately, it is incumbent on organizations to ensure malicious or inaccurate material is not present in the data they use. If an organization does not have resources to conduct the necessary due diligence, then the use of web-crawled datasets is not recommended until some sort of trust infrastructure can be implemented.

    Final note on web-scale datasets and data poisoning

    Both split-view and frontrunning poisoning are reasonably straightforward for a malicious actor to execute, since they do not require particularly sophisticated methodology. These poisoning techniques should be considered viable threats by anyone looking to incorporate web-scale data into their AI systems. The danger here comes not only from directly using compromised data, but also from using models which may themselves have been trained on compromised data. 

    Ultimately, data poisoning must be addressed from a supply chain perspective by those who train and fine-tune AI models. Proper supply chain integrity and security management (i.e., selecting reliable model providers and verifying the legitimacy of the models used) can reduce the risk of data poisoning and system compromise. The most reliable providers are those who assure that they do everything possible to prevent the influence and distribution of poisoned data and models. [34] 

    Every effort must be made by those building foundation models to filter out malicious and inaccurate data. Foundation models are evolving rapidly, and filtering out inaccurate, unauthorized, and malicious training data is an active area of research, particularly at web-scale. As such, is currently impractical to prescribe precise methods for doing so; it is a best-effort endeavor. Ideally, data curators and foundation model providers should be able to attest to their filtering methods and provide evidence (e.g. test results) of their effectiveness. Likewise, if possible, downstream model consumers should include a review of the security claims as part of their security processes before accepting a foundation model for use. 

    Maliciously modified data – risks and mitigations

    Relevant AI Lifecycle stages: 2) Collect & Process Data; 3) Build & Use Model; 4) Verify & Validate; 5) Deploy & Use; 6) Operate & Monitor

    Maliciously modified data presents a significant threat to the accuracy and integrity of AI systems. Deliberate manipulation of data can result in inaccurate outcomes, poor decisions, and compromised security. Note that there are also risks associated with unintentional data errors and duplications that can affect the security and performance of AI systems. Challenges like adversarial machine learning threats, statistical bias, and inaccurate information can impact the overall security of AI-driven outcomes.

    Risk: Adversarial Machine Learning threats

    Adversarial Machine Learning (AML) threats involve intentional, malicious attempts to deceive, manipulate, or disrupt AI systems. [7],[17],[22] Malicious actors employ data poisoning to corrupt the learning process, compromising the integrity of training datasets and leading to unreliable or malicious model behavior. Additionally, malicious actors may introduce adversarial examples into datasets that, while subtle, can evade correct classification, thereby undermining the model’s performance. Furthermore, sensitive information in training datasets can be indirectly extracted through techniques like model inversion4, posing significant data security risks.

    Mitigation Strategies:

    • Anomaly detection: Incorporate anomaly detection algorithms during data pre-processing to identify and remove malicious or suspicious data points before training. These algorithms can recognize statistically deviant patterns in the data, making it possible to isolate and eliminate poisoned inputs.
    • Data sanitization: Sanitize the training data by applying techniques like data filtering, sampling, and normalization. This helps reduce the impact of outliers, noisy data, and other potentially poisoned inputs, ensuring that models learn from high-quality, representative datasets. Perform sanitization on a regular basis, especially prior to each and every training, fine-tuning, or any other process that adjusts model parameters.
    • Secure training pipelines: Secure data collection, pre-processing, and training pipelines to prevent malicious actors from tampering with datasets or model parameters.
    • Ensemble methods / collaborative learning: Implement collaborative learning frameworks that combine an ensemble of multiple, distinct AI models to reach a consensus on output predictions. This approach can help counteract the impact of data poisoning, since malicious inputs may only affect a subset of the collaborative models, allowing the majority to maintain accuracy and reliability.
    • Data anonymization: Implement anonymization techniques to protect sensitive data attributes, keeping them confidential while allowing AI models to learn patterns and generate accurate predictions.

    Risk: Bad data statements

    Bad data statements5 [7][23], such as missing metadata, can significantly influence AI data security by introducing data integrity issues that can lead to faulty model performance. Error-free metadata provides valuable contextual information about the data, including its structure, purpose, and collection methods. When metadata is missing, it becomes difficult to interpret data accurately and draw meaningful conclusions. This situation can result in incomplete or inaccurate data representation, compromising AI system performance and reliability. If metadata is modified by a malicious actor, then the security of the AI system is also at risk.

    Mitigation strategies:

    • Metadata management: Implement strong data governance practices to help ensure metadata is well-documented, complete, accurate, and secured.
    • Metadata validation: Establish data validation processes to check the completeness and consistency of metadata before data is used for AI training.
    • Data enrichment: Use available resources, such as reference data and trusted third-party data, to supplement missing metadata and improve the overall quality of the training data.

    Risk: Statistical bias6 

    Robust data security and collection practices are key to mitigating statistical bias. Executive Order (EO) 14179 mandates that U.S. government entities “develop AI systems that are free from ideological bias or engineered social agendas.” [25] Note that “an AI system is said to be biased when it exhibits systematically inaccurate behavior.” [26] Statistical bias in AI systems can arise from artifacts present in training data that can lead to artificially slanted or inaccurate outcomes. Sampling biases or biases in data collection can affect the overall outcomes and performance of AI. Left unaddressed, statistical bias can degrade the accuracy and effectiveness of AI systems. 

    Mitigation strategies:

    • Regular training data audits: Regularly audit training data to detect, assess, and address potential issues that can result in systematically inaccurate AI systems.
    • Representative training data: Ensure that training data is representative of the totality of the information relevant to any given topic to reduce the risk of statistical bias. Also ensure that AI data is properly divided into training, development, and evaluation sets without overlap to properly measure statistical bias and other measures of performance.
    • Edge cases: Identify and mitigate edge cases that can cause models to malfunction.
    • Test and correct for statistical bias: Create a repository with instances of observed model output bias. Leverage that information to improve training data audits and with reinforcement learning to “undo” some of the measured bias.

    Risk: Data poisoning via inaccurate information

    One form of data poisoning (sometimes referred to as “disinformation” [27]) involves the intentional insertion of inaccurate or misleading information in AI training datasets, which can negatively impact AI system performance, outcomes, and decision-making processes. 

    Mitigation strategies:

    • Remove inaccurate information from training data: Identify and remove inaccurate or misleading information from AI datasets to the extent feasible.
    • Data provenance and verification: Implement provenance verification mechanisms during data collection to help ensure that only accurate and reliable data is used. This process can include methods such as cross-verification, fact-checking, source analysis, data provenance tracking, and content credentials.
    • Add more training data: Increasing the amount of non-malicious data makes training more robust against poisoned examples—provided that these poisoned examples are small in number. One way to do this is through data augmentation—the creation of artificial training set samples that are small variations of existing samples. The goal is to “outnumber” the poisoned samples so the model “forgets” them. Note that this mitigation can only be applied during training, and therefore does not apply to an already trained model. [28]
    • Data quality control: Perform quality control on data including detecting poisoned samples through integrity checks, statistical deviation, or pattern recognition. Proactively implement data quality controls during the training phase to prevent issues before they arise in production.

    Risk: Data duplications

    Unintended duplicate data elements [7] in training datasets can skew model performance and cause overfitting, reducing the AI model’s ability to generalize across a variety of real-world applications. Duplicates are not always exact; near-duplicates may contain minor differences like formatting, abbreviations, or errors, which makes detecting them more complex. Duplicate data often leads to inaccurate predictions, making the AI system less effective in real-world applications.

    Mitigation strategies:

    • Data deduplication: Implement deduplication techniques (such as fuzzy matching, hashing, clustering, etc.) to carefully identify and handle duplicates and near-duplicates in the data.

    Data drift – risks and mitigations

    Relevant AI Lifecycle stages: 5) Deploy & Use; 6) Operate & Monitor

    Data drift, or distribution shift, refers to changes in the underlying statistical properties of the input data to an operational AI system. Over time, the input data can become significantly different from the data originally used to train the model. [7],[8] Degradation caused by data drift is a natural and expected occurrence, and AI system developers and operators need to regularly update models to maintain accuracy and performance. Data drift ordinarily begins as small, seemingly insignificant degradations in model performance. Left unchecked, the degradation caused by data drift can snowball into substantial reductions in AI system accuracy and integrity that become increasingly difficult to correct. 

    It is crucial to distinguish between data drift and data poisoning attacks designed to affect an AI model. Continuous monitoring of system accuracy and performance provides important indicators based on the nature of the changes observed. If the changes are slow and gradual over time, it is more likely that the model is experiencing data drift. If the changes are abrupt and dramatic in one or more dimensions, it is more likely that an actor is trying to compromise the model. Cyber compromises often aim to manipulate the model’s performance quickly and significantly, leading to abrupt changes in the input data or model outputs.

    AI system operators and developers should employ a wide range of techniques for detecting and mitigating data drift, including data preprocessing, increasing dataset coverage of real-world scenarios, and adopting robust training and adaptation strategies. [30] Packages that automate dataset loading assist AI system developers in creating application-specific detection and mitigation techniques for data drift.

    There are many potential causes of data drift, including: 

    1. A change in the upstream data pipeline not represented in the model training data (e.g., the units of a particular data element change from miles to kilometers)
    2. The introduction of completely new data elements that the model had not previously seen (e.g., a new type of malware not recognized in the ML layer of an anti-virus product)
    3. A change in the context of how inputs and outputs are related (e.g., a change in organizational structure due to a merger or acquisition could lead to new data access patterns that might be misinterpreted as security threats by an AI system)

    The data associated with a given AI model should be regularly checked for any updates to help ensure the model still predicts as expected. [7],[8],[9] The interval for this update and check will depend on the particular AI system and application. For example, in high-stakes applications such as healthcare, early detection and mitigation of data drift are critical prior to patient impact. Thus, continuous monitoring of model performance with additional direct analysis of the input data is important in such applications. [30] 

    Mitigation strategies:

    • Data management: Employ a data management strategy in keeping with the best practices in this CSI to help ensure that it is easy to add and track new data elements for model training and adaptation. This management strategy enables identification of data elements causing drift for appropriate mitigation or action.
    • Data-quality testing: AI system developers should use data-quality assessment tools to assist in selecting and filtering data used for model training or adaptation. Understanding the current dataset and its impact on model behavior is critical to detecting data drift.
    • Input and output monitoring: Monitor the AI system inputs and outputs to verify the model is performing as expected. [9] Regularly update your model using current data. Utilize meaningful statistical methods that measure expected dataset metrics and compare the distribution of the training data to the test data to help determine if data drift is occurring. [7] 

    Data management tools and methods are currently an active area of research. However, data drift can be mitigated by incorporating application-specific data management protocols that include: continuous monitoring, retraining (regularly incorporating the latest data into the models), data cleansing (correcting errors or inconsistencies in the data), and using ensemble models (combining predictions of multiple models). Incorporation of a data management framework into the design of AI systems from the beginning is essential for improving the overall integrity and security posture. [31]

    Conclusion

    Data security is of paramount importance when developing and operating AI systems. As organizations in various sectors rely more and more on AI-driven outcomes, data security becomes crucial for maintaining accuracy, reliability, and integrity. The guidance provided in this CSI outlines a robust approach to securing AI data and addressing the risks associated with the data supply chain, malicious data, and data drift.

    Data security is an ever-evolving field, and continuous vigilance and adaptation are key to staying ahead of emerging threats and vulnerabilities. The best practices presented here encourage the highest standards of data security in AI while helping ensure the accuracy and integrity of AI-driven outcomes. By adopting these best practices and risk mitigation strategies, organizations can fortify their AI systems against potential threats and safeguard sensitive, proprietary, and mission critical data used in the development and operation of their AI systems. 

    References

    1 In this document, Artificial Intelligence (AI) has the meaning set forth in 15 U.S.C. 9401(3): 
    “… a machine-based system that can, for a given set of human-defined objectives, make predictions, recommendations, or decisions influencing real or virtual environments. AI systems use machine- and human-based inputs to:
      (A) Perceive real and virtual environments;
      (B) Take these perceptions and turn them into models through analysis in an automated manner; and
      (C) Use model inference to formulate options for information or action.”

    2 Data integrity is defined by the IC Data Management Lexicon [1] as “The degree to which data can be trusted due to its provenance, pedigree, lineage and conformance with all business rules regarding its relationship with other data. In the context of data movement, this is the degree to which data has verifiably not been changed unexpectedly by a person or NPE.”

    3 The term data consumers is defined as technical personnel (e.g. data scientists, engineers) who make use of data that they themselves did not produce or annotate to build and/or operate AI systems. 

    4 Model inversion refers to the process by which an attacker analyzes the output patterns of an AI system to reverse-engineer and uncover details about the training dataset, such as individual data points or patterns. This process can potentially expose confidential or proprietary information from the data that was used to train the AI models.

    5 “A data statement is a characterization of a dataset that provides context to allow developers and users to better understand how experimental results might generalize, how software might be appropriately deployed, and what biases might be reflected in systems built on the software.” [23] 

    6 “In technical systems, bias is most commonly understood and treated as a statistical phenomenon. Bias is an effect that deprives a statistical result of representativeness by systematically distorting it, as distinct from random error, which may distort on any one occasion but balances out on the average.” [26],[32] 

    Works cited

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    [3] National Institute of Standards and Technology (NIST). NIST AI 100-1: Artificial Intelligence Risk Management Framework (AI RMF 1.0). 2023. https://doi.org/10.6028/NIST.AI.100-1  
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    [6] NIST. FIPS 205: Stateless Hash-Based Digital Signature Standard. 2024. https://doi.org/10.6028/NIST.FIPS.205  
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    [23] Bender, E. M., & Friedman, B. Data Statements for Natural Language Processing: Toward Mitigating System Bias and Enabling Better Science. Transactions of the Association for Computational Linguistics (TACL) 6, 587–604. 2018. https://doi.org/10.1162/tacl_a_00041  
    [24] NSA et al. Content Credentials: Strengthening Multimedia Integrity in the Generative AI Era. 2025. https://media.defense.gov/2025/Jan/29/2003634788/-1/-1/0/CSI-CONTENT-CREDENTIALS.PDF  
    [25] Executive Order (EO) 14179: “Removing Barriers to American Leadership in Artificial Intelligence” https://www.federalregister.gov/executive-order/14179   
    [26] NIST. NIST Special Publication 1270: Framework for Identifying and Managing Bias in Artificial Intelligence. 2023. https://doi.org/10.6028/NIST.SP.1270  
    [27] NIST. NIST AI 600-1: Artificial Intelligence Risk Management Framework: Generative Artificial Intelligence Profile. 2023. https://doi.org/10.6028/NIST.AI.600-1  
    [28] Open Web Application Security Project (OWASP). AI Exchange. #Moretraindata. https://owaspai.org/goto/moretraindata/  
    [29] Carlini, N. et al. Poisoning Web-Scale Training Datasets is Practical. arXiv:2302.10149. 2023. https://arxiv.org/abs/2302.10149  
    [30] Kore, A., Abbasi Bavil, E., Subasri, V., Abdalla, M., Fine, B., Dolatabadi, E., & Abdalla, M. Empirical Data Drift Detection Experiments on Real-World Medical Image Data. Nature Communications 15, 1887. 2024. https://doi.org/10.1038/s41467-024-46142-w  
    [31] NIST. NIST Special Publication 800-208: Recommendation for Stateful Hash-Based Signature Schemes. 2020. https://doi.org/10.6028/NIST.SP.800-208  
    [32] The Organisation for Economic Cooperation and Development (OECD). Glossary of statistical terms. 2008. https://doi.org/10.1787/9789264055087-en  
    [33] NIST. NIST SP 800-53 Rev. 5: Security and Privacy Controls for Information Systems and Organizations. 2020. https://doi.org/10.6028/NIST.SP.800-53r5 
    [34] OWASP. AI Exchange. How to select relevant threats and controls? risk analysis. https://owaspai.org/goto/riskanalysis/  

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    MIL OSI USA News

  • MIL-OSI Security: Main organisers of large-scale drug transports to Nordic countries arrested in Serbia

    Source: Eurojust

    In an operation coordinated via Eurojust, the Serbian authorities arrested five suspects this week for organising the long-term, large-scale transport of illicit drugs to Sweden, Finland, Denmark and Norway. Previously, eight fictitious owners of haulage companies used for these transports had already been detained in Serbia. This week’s successful action is the result of a joint investigation team (JIT) between Serbia and the four Nordic countries, set up and supported by Eurojust.

    The criminal network that has now been brought down was responsible for transporting large quantities of narcotics, such as cocaine, amphetamines and cannabis, from Spain and the Netherlands to Sweden, Finland, Denmark and Norway. The network mainly arranged drivers and the lorries for transports via France and Germany. The drugs were hidden in secret compartments in the trucks, occasionally together with firearms.

    Locally operating criminal groups were responsible for selling and distributing the illicit drugs. Over the last few years, several suspects have been arrested and, in some cases, convicted in Sweden, Denmark and Norway for their involvement in the drug trade via the transport network.

    The total volume of drugs handled is not available, but the Serbian authorities estimate that at least 1.6 tonnes of various narcotics and approximately 62 000 tablets and pills were transported. Investigations had been ongoing as of 2020, when in April 2024 a JIT was set up to consolidate the investigative efforts. Eurojust provided logistical, organisational and financial support to this JIT. The Agency also organised a series of coordination meetings to prepare for the action this week.

    During the operations in Serbia, several encrypted mobile phones were seized, as well as a firearm, ammunition and documents referring to the foundation of the Serbian transport companies. The coordination and cooperation between all countries involved was also facilitated by the fact that both Serbia and Norway are among the twelve countries outside the European Union to have a Liaison Prosecutor at Eurojust.

    The operations were carried out and supported by the following authorities:

    • Serbia: Prosecution Office for Organised Crime, Belgrade; Police Service for the Fight Against Organised Crime
    • Sweden: Swedish Prosecution Authority, National Unit Against Organised Crime: Swedish Customs
    • Finland: Prosecution District Southern Finland; National Bureau of Investigation
    • Denmark: National Special Crime Unit
    • Norway: Innlandet Police District

    MIL Security OSI

  • MIL-OSI Economics: Meeting of 16-17 April 2025

    Source: European Central Bank

    Account of the monetary policy meeting of the Governing Council of the European Central Bank held in Frankfurt am Main on Wednesday and Thursday, 16-17 April 2025

    22 May 2025

    1. Review of financial, economic and monetary developments and policy options

    Financial market developments

    Ms Schnabel recalled that President Trump’s announcement on 2 April 2025 of unexpectedly high tariffs had sparked a sharp sell-off in global equity markets and in US bond markets, leading to a surge in financial market volatility. The severity of the tariffs and the manner in which they had been introduced had led to a breakdown of standard cross-market correlations, with a sell-off of US equities occurring at the same time as a sell-off of Treasuries in the context of a marked depreciation of the US dollar against major currencies.

    Movements in euro area risk-free rates reflected the opposing impacts of the historic German fiscal package and the global trade conflict. At the long end of the yield curve, the expected positive growth impulse from fiscal policy, as well as expectations of tighter monetary policy in the future, had been the dominant factors, pulling up nominal and real interest rates. At the short end of the yield curve, the decline in inflation compensation, driven mainly by falling inflation risk premia, had been larger than the rise in real yields, leading to a decline in nominal rates. These developments reflected both the negative fallout from tariffs and lower commodity prices. Investors expected the ECB to react to the evolving situation by lowering rates more than had previously been anticipated, but to start raising them again in the coming year. Amid the market turbulence, euro area bond markets had continued to function smoothly, and the bond supply had been absorbed well in the context of strong investor demand and well-functioning dealer intermediation. On the back of the sharp correction in stock prices and the marked appreciation of the euro exchange rate, financial conditions in the euro area had tightened, despite lower nominal short-term rates.

    Turning to market developments since the previous Governing Council meeting, President Trump’s announcement on 2 April 2025 had led the VIX volatility index to temporarily reach levels not seen since the COVID-19 pandemic. Within a few days the S&P 500 index had dropped by 12%, triggering sharp corrections in stock markets around the world, including in the euro area. Despite a rebound after the pausing of “reciprocal” tariffs on 9 April 2025, the US benchmark equity index had lost 8% in the year to date while euro area stock markets were almost back to the levels seen at the start of the year. Stocks in trade-sensitive US sectors had been hit much harder than other stocks, and they had also dropped by much more than their euro area counterparts.

    The market turbulence had spilled over to government bond markets, but the reaction had differed markedly between the euro area and the United States. US government bond yields had risen at the same time as the US equity sell-off, which was highly unusual because Treasury bonds normally benefited from safe-haven flows. US ten-year asset swap spreads had likewise risen sharply, which was also unusual. Meanwhile, Bund yields had declined and the spread between the Bund and overnight index swap (OIS) rates had narrowed substantially as German government bonds had continued to perform their role as a safe-haven asset.

    The risk-off sentiment had also affected the dynamics of the US dollar exchange rate, but this too had reacted differently from what would normally have been expected. In January 2025 the EUR/USD exchange rate had hit a low of 1.02, but the euro’s downward trend had been reversed around the time of the announcement in early March 2025 of the reform of the German debt brake, with a positive growth narrative for Europe emerging in light of higher defence and infrastructure spending. The euro exchange rate had received a second major boost after the 2 April tariff announcement in the United States. This strong upward move had not been driven, as was usually the case, by changes in the yield differential, which had moved in the opposite direction, but by US dollar weakness as investors had revised down their US growth expectations. Over recent weeks the US dollar had thus not benefited from the widespread risk-off mood.

    Recent developments had been reflected in global portfolio flows. The March 2025 round of the Bank of America Fund Manager Survey had recorded the strongest shift out of US equities on record, with 45% of managers reporting that they had reduced their positions. At the same time, a significant share of fund managers had reported that they had changed their positioning in favour of euro area equities. This marked a significant shift of perspectives away from US exceptionalism towards Europe being seen as the bright spot among major economies, given the expected fiscal boost in Germany and the pick-up in European defence spending.

    Dynamics in risk-free bond markets illustrated the opposing impacts of the German fiscal package and the tariff announcements over recent weeks. In the euro area, the overall increase in longer-term nominal interest rates had been driven by a rise in real rates, indicating that market participants viewed the German fiscal package as fostering long-term growth. Real rates had kept rising during the tariff tensions, as investors had continued to expect, on balance, an improved growth outlook for the euro area. By contrast, inflation compensation had decreased across the yield curve after increasing only briefly in response to the German fiscal package.

    Ms Schnabel then turned to the drivers of developments in euro area inflation compensation. On the one hand, bond market investors were pricing in higher inflation compensation owing to the expansionary German fiscal measures to be implemented over the next decade. On the other hand, concerns about the trade war had pulled inflation compensation lower, more than compensating for the impact of the German fiscal package on short to medium-term maturities. One important driver of the downward revision had been the sharp drop in oil prices in the wake of the tariff announcements and rising fears of a global recession.

    Market participants currently expected the ECB to implement a faster and deeper easing cycle towards a terminal rate of around 1.7% in May 2026. However, the ECB was expected to start raising rates again in 2026 in a J-curve pattern, with rate expectations picking up notably over longer horizons.

    In corporate bond markets, credit spreads had increased globally in response to the risk-off sentiment and the sharp sell-off in risk asset markets. However, the surge in US investment-grade corporate bond spreads had been more pronounced compared with developments in their euro area counterparts.

    Sovereign spreads had remained resilient over the past few weeks. The marked rise in the Bund yield after the announcement of the German fiscal package in March 2025 had not translated into an increase in sovereign spreads, which had even declined slightly at that time. The benign reaction of euro area government bond markets over recent weeks could be explained by expectations of positive economic spillovers from Germany to the rest of the euro area, possible prospects of increased European unity and, in the case of Italy, positive rating action.

    Government bond issuance in the euro area had continued to be absorbed well as investor demand had remained robust, with primary and secondary markets continuing to function smoothly. Higher volatility in government bond markets had not led to a meaningful deterioration in liquidity conditions, unlike in previous stress episodes. Hence, the turbulence in US Treasury markets had not had repercussions for the functioning of euro area sovereign bond markets.

    Ms Schnabel concluded by considering the implications of recent market developments for overall financial conditions. Since the March monetary policy meeting financial conditions had tightened, mainly owing to lower equity prices and a stronger nominal effective exchange rate of the euro, which had more than compensated for the easing impulse stemming from lower nominal short-term interest rates. Real rates had gradually shifted up across the yield curve. Overall, recent market developments might not only be a reflection of short-term market disturbances but also of a broader shift in global financial markets, with the euro area being one potential beneficiary.

    The global environment and economic and monetary developments in the euro area

    Starting with inflation in the euro area, Mr Lane stated that the disinflation process was well on track. Inflation had continued to develop as expected, with both headline inflation in the Harmonised Index of Consumer Prices (HICP) and core inflation (HICP inflation excluding energy and food) declining in March. Headline inflation had declined to 2.2% in March, from 2.3% in February. Energy inflation had decreased to -1.0%, in part owing to a sharper than expected decline in oil prices, while food inflation had increased to 2.9% on the back of higher unprocessed food prices. Core inflation had declined to 2.4% in March, from 2.6% in February. While goods inflation remained stable at 0.6%, there had been a marked downward adjustment in services inflation, which had dropped to 3.5% in March from 3.7% in February, confirming the more muted repricing momentum in some services that had been expected.

    Most exclusion-based measures of underlying inflation had eased further in March. The Persistent and Common Component of Inflation (PCCI), which had the best predictive power for future headline inflation, had decreased to 2.2% in March from 2.3% in February. Domestic inflation was unchanged in March after declining to 3.9% in February, down from 4.0% in January. The differential between domestic inflation and services inflation reflected the significant deceleration of inflation in the traded services segment seen in the recent data.

    Wage growth was moderating. The annual growth rate of compensation per employee had declined to 4.1% in the fourth quarter of 2024, down from 4.5% in the third quarter and below the March 2025 projection of 4.3%. Negotiated wage growth had also come in at 4.1% in the fourth quarter of 2024. According to the April round of the Corporate Telephone Survey, leading non-financial corporations in the euro area had reduced their wage growth expectations for 2025 to 3.0%, down from 3.6% in the previous survey round. Respondents to the Survey on the Access to Finance of Enterprises had marked down their wage growth expectations for the next 12 months to 3.0%, from 3.3% in the last survey round. Looking ahead, the ECB wage tracker also pointed to a substantial decrease in annual growth of negotiated wages between 2024 and 2025, with one-off payments becoming a less dominant component of salary increases. Wage expectations reported in the Survey of Professional Forecasters and the Consensus Economics survey also signalled an easing of labour cost growth in 2025 compared with last year (between 0.7 and 1.0 percentage point), which was broadly in line with the March projections.

    Looking ahead, inflation was expected to hover close to the inflation target of 2% for the remainder of the year. Core inflation, and in particular services inflation, was expected to decline until mid-2025 as the effects from lagged repricing faded out, wage pressures receded, and past monetary policy tightening continued to feed through. Surveys confirmed this overall picture, while longer-term inflation expectations had remained well anchored around the 2% target. At the same time, market participants had markedly revised down their expectations for inflation over shorter horizons, with the one-year forward inflation-linked swap rates one year ahead, two years ahead and four years ahead declining by around 20 basis points to 1.6%, 1.7% and 1.9% respectively.

    Global growth was expected to have maintained its momentum in the first quarter of the year, with the global composite output Purchasing Managers’ Index (PMI) released on 3 April averaging 52.0. The manufacturing PMI had been recovering and stood above the threshold indicating expansion, while the services PMI had lost some momentum in advanced economies. However, global growth was likely to be negatively affected by the US-initiated increases in tariffs and the resulting financial market turmoil, which had come against the backdrop of already elevated geopolitical tensions.

    Triggered by concerns about global demand, oil and gas prices, along with other commodity prices, had declined sharply since 2 April. Compared with the assumption for the March projections, Brent crude oil prices were now approximately 10% lower in US dollar terms and 18.3% lower in euro terms. Gas prices stood 37% below the value embedded in the March projections. The euro had strengthened over recent weeks as investor sentiment had proven more resilient towards the euro area than towards other economies, with the EUR/USD exchange rate up 9.6% and the nominal effective exchange rate up 5.5% compared with the assumptions for the March projections.

    Euro area economic growth had slowed to 0.2%, quarter on quarter, in the fourth quarter of 2024, down from 0.4% in the third quarter. This figure was 0.1 percentage points higher than had been foreseen in the March projections. As projected, growth had been entirely driven by domestic demand. The economy was also likely to have grown in the first quarter of the year, and manufacturing had shown signs of stabilisation. The initial tariff announcements by the United States in early 2025 had so far seemed not to have materially dampened economic sentiment and might even have led to some frontloading of trade. However, some more recent surveys indicated a decline in sentiment. These included the latest Consumer Expectations Survey, the ZEW Indicator of Economic Sentiment and the Sentix Economic index.

    The labour market remained resilient. The unemployment rate had edged down to 6.1% in February. At the same time, labour demand was cooling. The job vacancy rate had remained unchanged at 2.5% in the fourth quarter of 2024 and now stood 0.8 percentage points below its peak in the second quarter of 2022. Total job postings and new postings were 16% and 26% lower respectively compared with a year ago. Additionally, fewer firms had reported that labour was a limiting factor for production. The employment PMI had remained broadly neutral in March at 50.4, pointing to stable employment conditions in the first quarter of 2025.

    Fiscal policies were identified as another potential source of resilience. Newly announced government measures were expected to have a relatively limited impact on the fiscal stance of the euro area compared with the assessment included in the March projections. But the scope for infrastructure investment and climate transition investment, as well as spending on defence in the largest euro area economy, had been substantially increased as a result of the loosening of the German debt brake, together with enhanced flexibility for greater spending on defence across euro area countries as a result of EU initiatives.

    The economic outlook was clouded by exceptional uncertainty, however. Downside risks to economic growth had increased. The major escalation in global trade tensions and the associated uncertainty were likely to lower euro area growth by dampening exports and investment. Deteriorating financial market sentiment could lead to tighter financing conditions and increased risk aversion, and could make firms and households less willing to invest and consume. Geopolitical tensions, such as Russia’s unjustified war against Ukraine and the tragic conflict in the Middle East, also remained a major source of uncertainty. At the same time, an increase in defence and infrastructure spending would add to growth.

    Increasing global trade disruptions were adding more uncertainty to the outlook for euro area inflation. Falling global energy prices and the appreciation of the euro could put further downward pressure on inflation. This could be reinforced by lower demand for euro area exports owing to higher tariffs and by a re-routing of exports into the euro area from countries with overcapacity. Adverse financial market reactions to the trade tensions could weigh on domestic demand and thereby also lead to lower inflation. By contrast, a fragmentation of global supply chains could raise inflation by pushing up import prices. A boost in defence and infrastructure spending could also raise inflation over the medium term. Extreme weather events, and the unfolding climate crisis more broadly, could drive up food prices by more than expected.

    Turning to the monetary and financial analysis, risk-free interest rates had declined in response to the escalating trade tensions. However, the risk-free ten-year OIS rate was about 20 basis points higher than at the cut-off date for the March projections. Bank bond spreads had increased by nearly 30 basis points. Credit spreads had increased by 23 basis points for investment-grade corporate bonds and by as much as 95 basis points for the high-yield segment. The Eurostoxx index had fallen by around 4.8% since the cut-off date for the March projections, while indicators of market volatility had increased.

    The latest information on the availability and cost of credit for the broader economy predated the market tensions but continued to indicate a gradual normalisation in credit conditions, though with some mixed evidence. The interest rate on new loans to firms had declined by 15 basis points in February, to 4.1%, which was about 120 basis points below its October 2023 peak. However, interest rates on new mortgages had increased by 8 basis points in February, to 3.3%, which was around 70 basis points below their November 2023 peak. Loan growth was picking up at a moderate pace. Annual growth in bank lending to firms had increased to 2.2% in February, from 2.0% in January, amid marked month-on-month volatility. Corporate debt issuance had been weak in February, but the annual growth rate had stabilised at 3.2%. Lending to households had edged up further to 1.5% on an annual basis in February, from 1.3% in January, led by mortgages. According to the latest bank lending survey for the euro area, which had been conducted between 10 and 25 March 2025, credit standards had tightened slightly further for loans to firms and consumer credit in the first quarter, while there had been an easing of credit standards for mortgages. This evidence resonated with the results of the Survey on the Access to Finance of Enterprises, which also showed almost unchanged availability of bank loans to firms in the first quarter, owing to concerns about the economic outlook and borrower creditworthiness, compounded by high uncertainty.

    Monetary policy considerations and policy options

    In summary, the incoming data confirmed that the disinflation process remained well on track. Both headline and core inflation in March had come in as expected. In particular, the projected drop in services inflation in March had been confirmed in the data and underpinned confidence in the underlying downward trajectory. The more forward-looking indicators of underlying inflation remained consistent with inflation settling at around the target in a sustained manner, with domestic inflation also coming down on the back of lower labour cost growth, which was decelerating somewhat faster than had been expected. The euro area economy had been building up some resilience against global shocks, but the outlook for growth had deteriorated materially owing to rising trade tensions. Increased uncertainty was likely to reduce confidence among households and firms, and the adverse and volatile market response to the recent trade tensions was likely to have a tightening impact on financing conditions and thereby further weigh on the euro area economic outlook.

    Based on this assessment, Mr Lane proposed lowering the three key ECB interest rates by 25 basis points. In particular, lowering the deposit facility rate – the rate through which the Governing Council steered the monetary policy stance – was rooted in its updated assessment of the inflation outlook, the dynamics of underlying inflation and the strength of monetary policy transmission. A further cut at the present meeting was important in ensuring that inflation stabilised at the target in a sustainable manner, while also avoiding the possibility that external adverse shocks to the economic outlook could be exacerbated by too high a level of the policy rate.

    Looking ahead, it remained more important than ever to maintain agility in adjusting the stance as appropriate on a meeting-by-meeting basis and to not pre-commit to any particular rate path.

    2. Governing Council’s discussion and monetary policy decisions

    Economic, monetary and financial analyses

    Regarding global conditions, members stressed that the outlook for global growth was highly uncertain. In reaction to the frequent – and often contradictory – tariff announcements and retaliation over the last few weeks, the International Monetary Fund was currently revising its World Economic Outlook. Since the Governing Council’s last monetary policy meeting the euro had appreciated by 4.2% in nominal effective terms and by 6.4% against the US dollar, driven by market expectations of a narrowing growth differential between the euro area and the United States and possibly by a broad-based investor reassessment of the risk attached to exposures to the United States. Energy and food commodity prices had also declined sharply owing to growth concerns as the trade war intensified. The combined effect of a weakening dollar and declining oil and gas prices meant that, in euro terms, oil prices had fallen by 18.3% and gas prices by 37% since the March Governing Council meeting. Macroeconomic data did not yet reflect fully the ongoing trade war, which would only show through more clearly in the data during the second quarter of 2025. The composite output PMI for global activity excluding the euro area had remained broadly stable in March.

    Global trade was expected to slow significantly. This reflected lower imports primarily from the United States, China, Mexico and Canada – all countries with sizeable reciprocal trade relations. In the first quarter trade had still been strong owing to a rebound at the beginning of the year, in part driven by a frontloading of imports in anticipation of future tariffs. However, high-frequency and more timely data (based on vessel movements) had already started weakening, in particular for US imports. Private sector forecasts for US growth in 2025 had started trending down in the run-up to the 2 April tariff announcement. However, that event, together with the deterioration in financial conditions that followed, had led to a further downward revision to US GDP growth prospects for this year, as the high uncertainty around US policies was expected to hold back investment and economic activity. In this context the impact of the confidence channel was regarded as particularly important. While most economists had assumed that with higher tariffs and a trade war the US dollar would appreciate, the latest developments pointed to adverse confidence effects and the self-defeating nature of tariffs weakening the dollar. Private sector forecasts for Chinese growth in 2025 had also been revised down since early April, as the contribution from net exports – a key source of support for Chinese growth in 2024 – was expected to decline significantly this year. The Chinese Government’s announcement of additional fiscal support to boost consumption was seen as likely to only partially offset the loss of international trade.

    In general, protectionism and policy unpredictability were seen as the ultimate sources of distress. This raised the question of whether the impact of these factors could unwind when the policy approach that had generated them might reverse. Indeed, the view was expressed that mutually beneficial trade agreements could be reached, leading to a much more benign outcome. At the same time, it was argued that, first, a complete unwinding of the 2 April tariff policy announcement was unlikely and, second, even in the event of a complete policy turnaround, it was questionable whether the world economy could return to its previous status quo.

    The recent strong appreciation of the euro was largely explained by portfolio rebalancing due to growing concerns among investors about US economic policies and the risks that these posed to large exposures to the United States. Overall, the current state of the world economy was not regarded as being at an equilibrium, and it might take several years before the global economy reached a new equilibrium. For a long time the world had been in a configuration centred on the United States running large current account deficits, with optimistic consumers, high private sector investment rates and a large fiscal deficit.

    Looking ahead, two polar scenarios could be seen. One was a stabilisation of the situation, whereby the US current account deficit was structural and largely financed by capital inflows. In this situation, the ongoing portfolio rebalancing across currencies would eventually reverse in favour of the United States, leading to a renewed real appreciation of the US dollar, partly driven by relative price adjustments. However, recent events had eroded trust in the US system, and it was challenging to envisage how it might be restored.

    The other possible direction that the global order could take was a continuation of current rebalancing trends. Such a situation could lead temporarily to much higher US inflation as a result of the combined effects of tariffs and a potentially weaker exchange rate. More generally, the new equilibrium could entail high tariffs, an increase in home bias – for trade balance or security reasons – and a more fragmented world. This more fragmented environment was likely to be characterised by stronger inflationary pressures. In addition, the move to a new equilibrium would involve costly adjustment dynamics, as firms, households and governments would have to re-optimise in light of the new constellation, but also owing to the high levels of uncertainty in the transition period. In the meantime, the erosion of confidence in the US economy and in the global order of international trade and finance was expected to result in a higher global cost structure arising from protectionist policies and a higher risk premium arising from unpredictability. An intermediate scenario was also possible, in which the euro would become increasingly attractive, thus expanding its international role as a reserve currency.

    Overall, even if it was known with certainty where the new equilibrium lay, there would still be major adjustment dynamics along the way. In addition, as global supply chains had been shaped over the years to best adapt to the old equilibrium, they would need to adjust to the new one, with a likely loss of market value for those firms that had been most engaged in the old global order. Throughout this process there would be path dependence in the dynamics of the economy.

    With regard to economic activity in the euro area, members concurred that the economic outlook was clouded by exceptional uncertainty. Euro area exporters faced new barriers to trade, although the scope and nature of those barriers remained unclear. Disruptions to international commerce, financial market tensions and geopolitical uncertainty were weighing on business investment. As consumers became more cautious about the future, they might hold back from spending, thus delaying further the more robust consumption-led recovery that the staff projections had been foreseeing for a number of projection rounds.

    At the same time, the euro area economy had been building up some resilience against the global shocks. Domestic demand had contributed significantly to euro area growth in the fourth quarter of 2024, with business investment and private consumption growing robustly in spite of the already high uncertainty. The manufacturing output PMI had risen above 50 in March for the first time in two years, while the services business activity PMI had remained in expansionary territory, with relatively solid industrial production numbers confirming information from the soft indicators. While the trade conflict was a significant drag on foreign demand, the expected fiscal spending would counter some of those effects. The economy was likely to have grown in the first quarter of the year, and manufacturing had shown signs of stabilisation. Unemployment had fallen to 6.1% in February, its lowest level since the launch of the euro. Looking ahead, a strong labour market, higher real incomes and the impact of an easier monetary policy stance should underpin spending.

    For the near term, it was argued that the likely slump in trade and the surge in uncertainty were hitting the euro area at a critical juncture, when the recovery was still weak and fragile. It was seen as becoming increasingly clear that the impact of the trade shock might be very strong in terms of activity in the United States, with potentially substantial spillovers to the euro area. Even with the additional spending on defence and infrastructure, it was likely that, on balance, euro area growth would be worse in 2025 than previously expected. Incorporating the impact from the most recent escalation of trade tensions, potential retaliatory measures from the EU and the financial market turbulence of recent weeks could weaken activity in 2025 significantly. As a result, it was suggested that the probability of a recession over the next four quarters in the euro area and the United States had increased measurably.

    However, it was also argued that, while complicated, the situation still had upside potential. First, the strong market reaction might impose some discipline on the US Administration. Second, there was room for mutually beneficial trade agreements which would de-escalate the severity of the tariff increase threatened in the 2 April announcement. Regarding the fallout for growth, the ultimate effects of the new trade frictions would crucially depend on the substitutability of items imported by the United States. The bulk of exports from the euro area to the United States comprised pharmaceuticals, machinery, vehicles and chemicals, and these were highly differentiated products which were difficult to substitute away from in the short run. This rigidity would limit the drag on the euro area’s foreign demand. Moreover, the almost prohibitive tariffs between China and the United States were seen as likely to redirect demand towards euro area firms.

    A further factor that could attenuate the repercussions of trade frictions and uncertainty was the announcement of the German fiscal package and the step-up in European defence spending, which would raise domestic demand. This new factor was seen as unmitigated good news, as it would help to revive the European growth narrative and foster confidence in the euro area. What mattered was not only the direct effects of fiscal spending on demand and activity, but also the expected crowding-in of private investment in anticipation of the future fiscal stimulus. In the Corporate Telephone Survey, firms were already reporting that they were planning to enhance capacity in view of the defence and infrastructure initiatives. The Survey on the Access to Finance of Enterprises also pointed to greater optimism among firms on investment. Construction was set to recover further. It was therefore argued that the negative impact of tariffs could be seen as more or less the same size as the positive impact coming from the fiscal expansion in Germany. Of course, the time profiles of the impacts of the two major shocks – tariff increases and fiscal stimulus – were different. In the short term the negative effects on demand would dominate, as additional investment in defence and infrastructure would take time to come on stream and support growth.

    At the same time, the view was expressed that even in the medium term defence spending would not be a clear game changer, because it would not only materialise with a delay, but would likely lift euro area GDP growth by at most a couple of tenths of a percentage point. In any case, the fiscal stimulus was still uncertain in terms of its scale and modalities of implementation. In this context, it was noted that the reaction of the markets to the fiscal announcement from Germany suggested that the euro area economy was likely to respond to the new fiscal impulse with an increase in GDP and only a very mild increase in inflation. This demonstrated that the euro area economy was not seen as constrained by structural problems.

    Overall, members assessed that downside risks to economic growth had increased. The major escalation in global trade tensions and associated uncertainties would likely lower euro area growth by dampening exports, and it might drag down investment and consumption. Deteriorating financial market sentiment could lead to tighter financing conditions, increase risk aversion and make firms and households less willing to invest and consume. Geopolitical tensions, such as Russia’s unjustified war against Ukraine and the tragic conflict in the Middle East, also remained a major source of uncertainty. At the same time, an increase in defence and infrastructure spending would add to growth.

    In view of all the uncertainties surrounding the outlook, the view was expressed that for the coming meetings of the Governing Council it was important to develop alternative scenarios. These should factor in the prevailing very high level of uncertainty and assist in identifying the relevant channels and quantifying the impact on growth, jobs and inflation. In addition to scenario analysis, it was important to use high-frequency and unconventional sources of information to better understand the direction the economy was taking. There was also a need to broaden the set of indicators to be monitored, given the challenges in interpreting some of the standard statistics which were influenced and distorted by special factors such as the frontloading of orders and the associated build-up of inventories.

    A silver lining in the turbulent situation that Europe was facing was a strong impetus for European policymakers to swiftly implement the structural reforms set out in the reports by Mario Draghi and Enrico Letta. If effective, such concrete action had the potential to become a major tailwind for the euro area economy in the future, amplifying the stimulating effect of the additional fiscal spending that was planned in Germany. At the same time, it was cautioned that, to reap all the benefits from reform, Europe had to act quickly and on an ambitious scale.

    The important policy initiatives that had been launched at the national and EU levels to increase defence spending and infrastructure investment could be expected to bolster manufacturing, which was also reflected in recent surveys. In the present geopolitical environment, it was even more urgent for fiscal and structural policies to make the euro area economy more productive, competitive and resilient. The European Commission’s Competitiveness Compass provided a concrete roadmap for action, and its proposals, including on simplification, should be swiftly adopted. This included completing the savings and investment union, following a clear and ambitious timetable, which should help savers benefit from more opportunities to invest and improve firms’ access to finance, especially risk capital. It was also important to rapidly establish the legislative framework to prepare the ground for the potential introduction of a digital euro. Governments should ensure sustainable public finances in line with the EU’s economic governance framework and prioritise essential growth-enhancing structural reforms and strategic investment.

    With regard to price developments, members concurred with the assessment presented by Mr Lane. In spite of all remaining uncertainties, the recent inflation data releases had been broadly in line with the March ECB staff projections, with respect to both headline and core inflation. This suggested that inflation was on course for the 2% target, with long-term inflation expectations also remaining well anchored. Taking the February and March inflation data together, there was now much more confidence that the baseline scenario for inflation in the March projections was materialising. This held even without the appreciation of the euro or the decline in oil prices and commodity prices that had taken place since the finalisation of the projections.

    Looking ahead, it was argued that inflation would likely be lower in 2025 than foreseen in the March projections if the exchange rate and energy prices remained around their current levels. Recent market-based measures of inflation expectations also indicated that inflation might be falling faster than previously assumed. Inflation fixings now implied that investors expected inflation (excluding tobacco) to remain just below 2% in 2025 and to decline to around 1.2% in early 2026, before returning to around 1.6% by mid-2026. This signalled that risks to price stability might now be tilted to the downside, especially in the near term. The latest information also suggested that wage growth was moderating at a slightly faster pace than previously expected. Over a longer horizon, the tighter financial conditions, including the appreciation of the euro, the sharp drop in oil and gas prices and the headwinds from weaker economic activity, were seen as important new factors dampening inflation. There was now a risk that inflation could fall well below 2% at least over the remainder of the current year. Trade diversion and price concessions by Chinese exporters could also compound the ongoing depreciation of the renminbi and exert further downward effects on inflation, if not countered by measures by the European Commission. If there were to be retaliation against the tariffs imposed on US imports from the euro area, the direct inflationary impact could be counterbalanced by other factors, including the exchange rate, weaker raw material prices or possibly tighter financial conditions. Over the short term, the countervailing effects from increased fiscal spending were, moreover, unlikely to offset the further disinflationary pressures emanating from the international environment.

    At the same time, it was underlined that upside risks had not vanished. The rising momentum that had been detected in the PCCI indicators of underlying inflation warranted monitoring to confirm whether this increase was temporary and related to repricing early in the year in line with previous seasonal patterns. Although market-based measures of inflation compensation had fallen significantly, owing to lower inflation risk premia, genuine inflation expectations had been revised to a much lesser extent, and analysts’ inflation expectations were mostly well above inflation fixings. It also had to be considered that the likely re-flattening of the Phillips curve, which reflected among other things less frequent price adjustments, implied that meaningful downward deviations of inflation from target were unlikely in the absence of a deep and protracted recession. But such an event had a low probability in light of the expected fiscal impulse. In addition, the precise impact of the stronger euro was uncertain, especially given that one of the reasons behind the appreciation was a positive confidence shock as Europe offered stability in turbulent times. Moreover, successful trade negotiations and the resolution of trade disputes could give a boost to energy prices, changing the inflation picture very quickly. Finally, while the newly announced fiscal stimulus was unlikely to cause inflationary pressure over the short term in view of the underutilised capacities, the economy was likely to bump up against capacity constraints over the medium term, especially in the labour market. Indeed, inflation expectations reported in the Consumer Expectations Survey, the Survey on the Access to Finance of Enterprises and the Survey of Professional Forecasters remained tilted to the upside over longer horizons. It was argued that, taken as a whole, the current environment posed some downside risks to inflation over the short run, but notable upside risks over the medium term. If retaliation against US tariffs affected products that were hard to substitute, such as intermediate goods, the inflationary impact could be sizeable and persistent as higher input costs from tariffs would be gradually passed on to consumers. This could more than offset the disinflationary pressure from reduced foreign demand. The closely interconnected global trade system implied that tariffs might be passed along entire supply chains. The need to absorb tariffs in profit margins at a time when these were already squeezed because of high wage growth would increase the probability and strength of the pass-through. Upside risks to inflation over the medium term were seen to hold especially in a scenario in which the trade war led to a permanently more fragmented global economy, owing to a less efficient allocation of resources, more fragile supply chains and less elastic global supply.

    Overall, increasing global trade disruptions were adding more uncertainty to the outlook for euro area inflation. Falling global energy prices and an appreciation of the euro could put further downward pressure on inflation. This could be reinforced by lower demand for euro area exports owing to higher tariffs and by a re-routing of exports into the euro area from countries with overcapacity. Adverse financial market reactions to the trade tensions could weigh on domestic demand and thereby also lead to lower inflation. By contrast, a fragmentation of global supply chains could increase inflation by pushing up import prices. A boost in defence and infrastructure spending could also lift inflation over the medium term. Extreme weather events, and the unfolding climate crisis more broadly, could drive up food prices by more than expected.

    Turning to the monetary and financial analysis, members highlighted that the period since the 5-6 March meeting had been characterised by exceptional financial market volatility. This had led to some financial data indicating sizeable daily moves that were several standard deviations away from their mean. Risk-free interest rates had declined since the March meeting in response to the escalating trade tensions, although long-term risk-free rates were still higher than at the cut-off date for the March staff projections. Equity prices had fallen amid high volatility and corporate bond spreads had widened around the globe. Partly in response to the turmoil, financial markets were now fully pricing in the expectation of a 25 basis point rate cut at the current meeting.

    The euro had strengthened considerably over recent weeks as investor sentiment proved more resilient towards the euro area than towards other economies. While the appreciation of the euro had been sizeable, since the inception of the euro the bilateral EUR/USD exchange rate had fluctuated in a relatively wide band, with the rate currently somewhere in the middle of the range. The recent adjustment across asset prices was atypical, as the financial market turbulence had come together with a rebalancing of international portfolios away from US assets towards exposures to other regions, such as the euro area. One explanation, which was supported by the coincidental weakening of the US dollar and by some initial market intelligence, was that domestic and foreign investors had moved out of US assets, possibly reflecting a loss of confidence in US fiscal and trade policies.

    Turning to broader financing conditions, the latest official statistics on corporate borrowing, which predated the market tensions, continued to indicate that past interest rate cuts had made it less expensive for firms to borrow. The average interest rate on new loans to firms had declined to 4.1% in February, from 4.3% in January. The cost to firms of issuing market-based debt had declined to 3.5% in February but there had been some upward pressure more recently. Moreover, growth in lending to firms had picked up again in February, to 2.2%, while debt securities issuance by firms had grown at an unchanged rate of 3.2%. At the same time, credit standards for business loans had tightened slightly again in the first quarter of 2025, as reported in the April round of the bank lending survey. This was mainly because banks were becoming more concerned about the economic risks faced by their customers. Demand for loans to firms had decreased slightly in the first quarter, after a modest recovery in previous quarters.

    The average rate on new mortgages, at 3.3% in February, had risen on the back of earlier increases in longer-term market rates. Mortgage lending had continued to strengthen in February, albeit at a still subdued annual rate of 1.5%, as banks had eased their credit standards and households’ demand for loans had continued to increase strongly.

    Monetary policy stance and policy considerations

    Turning to the monetary policy stance, members assessed the data that had become available since the last monetary policy meeting in accordance with the three main elements that the Governing Council had communicated in 2023 as shaping its reaction function. These comprised (i) the implications of the incoming economic and financial data for the inflation outlook, (ii) the dynamics of underlying inflation, and (iii) the strength of monetary policy transmission.

    Starting with the inflation outlook, members widely agreed that the latest data, including the HICP inflation figures for February and March and recent outturns for services inflation, provided further evidence that the disinflationary process was well on track. They thus expressed increased confidence that inflation would return to target in line with the March baseline projections.

    However, the March baseline projections had not incorporated the latest US policy announcements, which had increased downside risks to growth and inflation over the short term. The most recent forces at play, such as the negative demand shock linked to the tariff proposals and the related pervasive uncertainty, the appreciation of the euro and the decline in oil and gas prices, would further dampen the inflation outlook in the near term.

    Over the medium term the picture for inflation remained more mixed, as the effects of fiscal spending, retaliatory tariffs and the disruption of value chains might point in different directions, with each shock having an impact on growth and inflation with a different time profile. It was pointed out that the inflationary effects of tariffs might outweigh the disinflationary pressure from reduced foreign demand over the medium term, especially if the European Union retaliated by imposing tariffs on products that were not easily substitutable, such as intermediate goods. As a result, firms might suffer from rising input costs that would, over time, be passed on to consumers as the erosion of profit margins made cost absorption difficult. If this occurred at the same time as the support to economic activity from fiscal policy kicked in, there would be a significant risk of higher inflation. Overall, it was too early to draw firm conclusions at a time when many trade policy options were still on the table.

    Turning to underlying inflation, members concurred that most indicators were pointing to a sustained return of inflation to the 2% medium-term target. Wage growth had been slowing further – slightly faster than expected. In view of the high uncertainty, companies were also likely to be cautious about accepting high wage demands. Domestic inflation had remained unchanged, after falling slightly in February. This suggested that inflation had been quite stubborn despite the marked decline in services inflation, although progress had also been seen in this indicator when looking back over the past six months. The PCCI, which had the best leading indicator properties for inflation and still showed rising momentum, warranted further monitoring.

    Finally, incoming data confirmed that the transmission of monetary tightening remained largely as intended. Bank credit growth was overall on a gradual, slow recovery path, although from quite subdued levels. Nevertheless, it was increasing somewhat more strongly than had previously been expected for both non-financial corporations and households. There had been an easing of credit standards and strong demand for housing loans, which could foreshadow a pick-up in construction activity. At the same time, market-based indicators pointed to a tightening of financial conditions and, despite recent interest rate cuts, the latest round of the bank lending survey pointed to tighter credit standards for both firms and consumer credit. This was due to anticipated higher default risks against a background of weaker growth. Moreover, uncertainty had been very high and, in the presence of high uncertainty, the response of intermediaries to lower risk-free rates and, more generally, the transmission mechanism of monetary policy, were seen as more sluggish.

    Monetary policy decisions and communication

    Against this background, all members agreed with the proposal by Mr Lane to lower the three key ECB interest rates by 25 basis points. In particular, lowering the deposit facility rate – the rate through which the Governing Council steered the monetary policy stance – was justified by the updated assessment of the inflation outlook, the dynamics of underlying inflation and the strength of monetary policy transmission. Members expressed increased confidence that inflation would return to target over the medium term and that the fight against the inflation shock was nearly over.

    Some members indicated that, before the US tariff announcement on 2 April, they had considered a pause to rate cuts at the current meeting to be appropriate, preferring to wait for the next round of projections for greater clarity on the medium-term inflation outlook. These members attached a higher probability to the possibility that the trade shock would be inflationary beyond the short term, in view of the destructive effects of breaking up global value chains. While the inflationary effects of the proposed tariffs might differ for the United States and Europe, the pandemic experience had shown that, despite different weights attached to demand versus supply factors, in the end inflation developments in the two economies had been quite synchronous, and the same might occur again this time. Overall, this pointed to upside risks to inflation in the medium to long term that counterbalanced the downside risks stemming from weaker economic activity. However, recent events had convinced these members that cutting interest rates at the current meeting provided some insurance against negative outcomes and avoided contributing to additional uncertainty in times of financial market volatility. In addition, a cut at the present meeting could be seen as frontloading a possible cut at the June meeting, which underlined the need to retain full optionality for the upcoming meetings.

    At the same time, it was felt that the tariff tensions did not seem to come with the inflationary effects that many members had previously associated with such an event, at least not over the short to medium-term horizons. In part, this was because the euro was seemingly turning into more of a safe-haven currency and was subject to revaluation pressures. Disinflationary forces were thus likely to dominate in the short term. In addition, the growth outlook had weakened, with tariffs, related uncertainty and geopolitical tensions acting as a drag. In this regard, it was argued that a 25 basis point rate cut would lean against the substantial risks to growth in the short term and the tightening of financial conditions that had resulted from the tariff events, without the risk of fuelling inflation further down the line.

    In these turbulent times, members stressed the need to be a beacon of stability, thus instilling confidence and not causing more surprises in an already volatile environment, which might amplify market turbulence. This spoke in favour of a 25 basis point cut.

    A standard 25 basis point rate reduction was seen as consistent with the fact that, while very uncertain, the range of potential outcomes from the current situation still entailed some upside risks to inflation for the euro area economy. On the one hand, countervailing forces that would bring the US Administration to change course could eventually emerge. One such force had been the observed outflows from the US Treasuries market, which might have contributed to the 90-day pause applied to most US tariffs. On the other hand, there had been – and could be further – mitigating factors in the euro area. These included a more growth-supportive fiscal outlook as well as an opportunity to make swift progress on other European policy initiatives. Another factor potentially protecting against more adverse scenarios could be a stronger commitment by the Chinese Government to domestic demand-led growth in China. In addition, a possible structural increase in international demand for the euro, while entailing downside risks to inflation, was also a symptom of a largely positive development, namely a shift into European assets. A portfolio shift could lower long-term interest rates in the euro area and lead to cheaper financing for planned investment projects. Finally, the appreciation of the euro would further reduce the price of energy imports in euro terms, which could counterbalance some of the negative effects of the tariffs and the exchange rate on energy-intensive exporters.

    These arguments notwithstanding, a few members noted that they could have felt comfortable with a 50 basis point rate cut. These members attached more weight to the change in the balance of risks since the Governing Council’s March meeting, pointing out that downside risks to growth had increased and, even in the event of a relatively mild trade conflict, uncertainty was already discouraging consumption and investment. In this context, they emphasised that downside risks to inflation had clearly increased. The same members also argued that a larger interest rate cut could have offset more of the recent tightening of financial conditions, including higher corporate bond spreads and lower equity prices, which had weakened the transmission of past monetary policy decisions. In this respect it was argued that surprising the markets should not be excluded, and it was recalled that there had been previous cases in which the Governing Council had not shied away from surprises when appropriate.

    At the same time, it was argued that the optimal monetary policy response depended on the outcome of tariff negotiations, including the scope of the tariffs and the extent of potential retaliation, and on how tariffs fed through global supply chains. The view was also expressed that a forward-looking central bank should only act forcefully to the tariff shock if it expected a sharp deterioration in labour market conditions or an unanchoring of inflation expectations to the downside. However, the initial conditions, featuring a still resilient labour market and elevated momentum in underlying inflation and services inflation, made such a scenario unlikely. Moreover, the economy was coming out of a high-inflation period with consumers’ and firms’ inflation expectations one year ahead still standing at almost 3%. In such a situation, an unanchoring of inflation expectations to the downside was highly unlikely, while the higher than expected food and services inflation in March and rising momentum in services underlined the continued need to monitor inflation developments. If the decline in economic activity turned out to be short-lived, an accommodative response of monetary policy might, given transmission lags, exert its peak impact when the economy was already recovering and inflation was rising, and would therefore be misguided. It could also coincide with when fiscal policy was starting to boost domestic demand, although anticipation channels could lead to some of the impact of infrastructure and defence spending on inflation being smoothed out and dampened in the medium term. Finally, it was argued that cutting interest rates further could no longer be justified by the intention to return to neutral territory since, by various measures, monetary policy was no longer restrictive. Bank lending was recovering, domestic demand was expanding and the level of interest rates was contributing measurably to demand for all types of loan, as shown in the most recent bank lending survey.

    Looking ahead, members stressed that maintaining a data-dependent approach with full optionality at every meeting was warranted more than ever in view of the high uncertainty. Keeping a cautious approach and a firm commitment to price stability had contributed to the success so far, with inflation back on track despite unprecedented challenges. However, agility might be required in the present environment, with the need for the Governing Council to be ready to react quickly if necessary.

    Turning to communication aspects, members noted that it was time to remove the phrase “our monetary policy is becoming meaningfully less restrictive” from the monetary policy statement. Reference to a restrictive policy stance, in various formulations, had proven useful over past phases in which inflation had still been high, providing a clear message that monetary policy was contributing to disinflation. Such a signal was no longer needed. In the present conditions, dropping the sentence avoided the perception that the neutral level of interest rates was the end point of the current cycle, which was not necessarily the case. However, dropping the sentence did not imply that monetary policy had necessarily left restrictive territory. At the current juncture, there was no need to take a stand on whether monetary policy was still restrictive, already neutral or even moving into accommodative territory. Such a categorisation, especially in the current turbulent context, was very hard to provide. Instead, the change in wording was seen as consistent with an approach that was not guided by interest rate benchmarks but by the need to always determine the policy stance that was appropriate. In other words, policy would be set so as to provide the strongest assurance that inflation would be anchored sustainably at the medium-term target, given the set of initial conditions and the shocks that the Governing Council had to tackle at any given time.

    Members reiterated that the Governing Council remained determined to ensure that inflation would stabilise sustainably at its 2% medium-term target. Its interest rate decisions would continue to be based on its assessment of the inflation outlook in light of the incoming economic and financial data, the dynamics of underlying inflation and the strength of monetary policy transmission. While noting that markets were functioning in an orderly manner, it was seen as helpful to reiterate that the Governing Council stood ready to adjust all instruments within the ECB’s mandate to ensure that inflation stabilised sustainably at the medium-term target and to preserve the smooth functioning of monetary policy transmission.

    Taking into account the foregoing discussion among the members, upon a proposal by the President, the Governing Council took the monetary policy decisions as set out in the monetary policy press release. The members of the Governing Council subsequently finalised the monetary policy statement, which the President and the Vice-President would, as usual, deliver at the press conference following the Governing Council meeting.

    Monetary policy statement

    Monetary policy statement for the press conference of 17 April 2025

    Press release

    Monetary policy decisions

    Meeting of the ECB’s Governing Council, 16-17 April 2025

    Members

    • Ms Lagarde, President
    • Mr de Guindos, Vice-President
    • Mr Centeno*
    • Mr Cipollone
    • Mr Demarco, temporarily replacing Mr Scicluna*
    • Mr Dolenc, Deputy Governor of Banka Slovenije
    • Mr Elderson
    • Mr Escrivá
    • Mr Holzmann*
    • Mr Kazāks
    • Mr Kažimír
    • Mr Knot*
    • Mr Lane
    • Mr Makhlouf
    • Mr Müller
    • Mr Nagel
    • Mr Panetta
    • Mr Patsalides
    • Mr Rehn
    • Mr Reinesch*
    • Ms Schnabel
    • Mr Šimkus
    • Mr Stournaras
    • Mr Villeroy de Galhau
    • Mr Vujčić
    • Mr Wunsch

    * Members not holding a voting right in April 2025 under Article 10.2 of the ESCB Statute.

    Other attendees

    • Mr Dombrovskis, Commissioner**
    • Ms Senkovic, Secretary, Director General Secretariat
    • Mr Rostagno, Secretary for monetary policy, Director General Monetary Policy
    • Mr Winkler, Deputy Secretary for monetary policy, Senior Adviser, DG Monetary Policy

    ** In accordance with Article 284 of the Treaty on the Functioning of the European Union.

    Accompanying persons

    • Mr Arpa
    • Ms Bénassy-Quéré
    • Mr Debrun
    • Mr Gavilán
    • Mr Kaasik
    • Mr Kelly
    • Mr Koukoularides
    • Mr Kroes
    • Mr Lünnemann
    • Ms Mauderer
    • Mr Martin
    • Mr Nicoletti Altimari
    • Mr Novo
    • Mr Rutkaste
    • Ms Schembri
    • Mr Šiaudinis
    • Mr Šošić
    • Mr Välimäki
    • Ms Žumer Šujica

    Other ECB staff

    • Mr Proissl, Director General Communications
    • Mr Straub, Counsellor to the President
    • Ms Rahmouni-Rousseau, Director General Market Operations
    • Mr Arce, Director General Economics
    • Mr Sousa, Deputy Director General Economics

    Release of the next monetary policy account foreseen on 3 July 2025.

    MIL OSI Economics

  • MIL-OSI Economics: Frank Elderson: Nature’s bell tolls for thee, economy!

    Source: European Central Bank

    Keynote speech by Frank Elderson, Member of the Executive Board of the ECB and Vice-Chair of the Supervisory Board of the ECB, at the Naturalis Biodiversity Center

    Leiden, 22 May 2025

    Thank you for inviting me to speak at this annual biodiversity dinner. The wide range of speakers here this evening – on international biodiversity day – is testament to the relevance of biodiversity across disciplines.

    Nature isn’t just the roots and shoots of biologists, macroecologists and natural scientists. Beyond its intrinsic value, nature provides vital services that are relevant for all of us – for entrepreneurs, workers, policymakers and bankers, but also for central bankers and financial supervisors.

    A thriving natural environment provides vital benefits that sustain our well-being and serve as a crucial driving force for the global economy. Think of fertile soils, pollination, timber, fishing stocks, clean water and clean air.

    But we are well aware of the daunting facts that confirm the dire state of ecosystem services. Intensive land use, the climate crisis, pollution, overexploitation and other human pressures are rapidly and severely damaging our natural resources.

    75% of land surface ecosystems and 66% of ocean ecosystems have been damaged, degraded or modified.

    We are using natural resources 1.7 times faster than ecosystems can regenerate them. Consequently, the contribution that nature can make to our economies – and our way of life – is steadily diminishing every day.

    These fateful facts and figures confront us as vividly as Edvard Munch’s iconic scream. Yet, accounting for nature and the services it provides is challenging. What nature provides to the economy is typically not measured directly in statistics like GDP.

    We price portfolios instead of pollinators, we monitor markets instead of mangroves and we watch wages instead of water supplies. However, the reality is that while our economies are heavily reliant on ecosystem services, the economic value of those pollinators, mangroves and water supplies is not sufficiently taken into account.

    Nature is too often still wrongly seen as a free good, readily available and abundant in supply, without opportunity costs. For such a good, there is no market – and therefore no price.

    So, why can’t governments intervene by pricing and creating a market for nature as has been done for emissions?

    Unlike for the climate crisis – which can be quantified through carbon emissions and their direct links to rising temperatures – there is no single metric that can be used to quantify the wide range of ecosystem services.

    What is the common denominator of clean air, fertile soils and coasts protected by mangrove forests? Nature is beautifully complex, but this complexity makes it harder to establish a market for nature than a market for climate, such as the carbon markets created through emissions trading systems.

    For central banks to effectively fulfil their mandates, we need to enhance our capacity to measure the vital services that nature provides to our economy and identify the financial risks caused by the degradation of these services. And while this is admittedly not an easy task, it is encouraging that multiple stakeholders are making progress, including academia, firms and also the ECB. We are enhancing our tools, methodologies and data to assess the economic implications of ecosystems and their degradation. And I am pleased to be able to share some of our latest insights this evening.

    I will argue that while nature services may appear to be freely available, they are in fact not abundant at all and there are substantial costs to using and losing them. Costs that we currently overlook when headlines report on GDP growth.

    Accounting for nature in monetary policy and banking supervision

    Nature being of vital importance for the economy and the financial system is hardly a novel insight. Besides scientists, a number of central banks and prudential supervisors have also been highlighting their interlinkages for several years now.[1] And while the climate crisis has received most of the attention, it is encouraging that work on nature-related risks has also significantly evolved.

    Moreover, the ECB has taken significant steps to account for nature-related risks in the pursuit of its mandate. For instance, we take into account the effects nature degradation can have on banks’ balance sheets. The degradation of nature could damage companies’ production processes and consequently weaken their creditworthiness, which might in turn impair loans granted by banks. In our role as the supervisor of Europe’s largest banks, we therefore aim to ensure that the banks we supervise adequately manage both climate-related and nature-related risks.[2] Encouragingly, we are seeing a growing set of good practices among the banks we supervise in terms of identifying, quantifying and managing nature-related risks.

    But are we fully aware of – and sufficiently alert to – how nature degradation could eventually hit balance sheets?

    Advancing our understanding does not mean that economists and supervisors should start studying ants in Aragon, ladybirds in Lombardy or honeybees in Holland (although it is very important that entomologists do!).

    Instead, central banks and supervisors need to gain a better understanding of just how vulnerable the economy and the financial system are to nature degradation.[3]

    Capturing the risks related to ecosystem degradation

    An ECB study in 2023 found that nearly 75% of banks’ corporate lending goes to firms that are highly dependent on at least one ecosystem service.[4] This finding underscores just how interconnected nature, the economy and the financial system really are.[5] But that study does not tell us exactly how much of our economic activity is at risk, or which economic sectors and regions will be most affected.

    To better understand this impact, the ECB has teamed up with the Resilient Planet Finance Lab at the University of Oxford.

    The interdisciplinary team has developed systemic risk indicators that move beyond dependency analysis to a comprehensive assessment of nature-related financial risks. In essence, this indicator assesses the economic implications of the deteriorating state of ecosystems. It shows how much of the economic value added by a particular industry– what economists call “gross value added” – is at risk when ecosystem services degrade. Tomorrow we will publish a blog post showing some of the preliminary results of our work, but I can already share some findings with you this evening.

    Water – the natural currency underwriting purchases, investments and trades

    Our preliminary findings indicate two things. First, water – too little, too much or too dirty water that is –has been identified as posing the most significant risk to the euro area economy. Losses related to water scarcity, poor water quality and flood protection emerge as the most critical from a value added perspective. Concretely, surface water scarcity alone puts almost 15% of the euro area’s economic output at risk. This is not surprising because water is not just any resource – it is one of the most essential natural resources we possess. Second, agriculture is the most exposed sector, as it would suffer the largest proportional output losses due to a decline in surface water. But other sectors are also likely to be significantly affected.

    Chart 1

    Proportion of national gross value added (GVA) at risk due to surface water scarcity in Europe and globally (supply chain risks)

    Water is, for instance, an indispensable resource in industry. In the Netherlands, industry alone uses over 2.6 trillion litres of fresh water a year.[6] This water usage is more than three times the total annual water consumption of all households in the Netherlands. Water is also essential for energy production, not only in hydropower plants but also in thermal power plants – including nuclear – where it is used for cooling and steam generation. It is consumed in vast quantities for mining and mineral processing, which are crucial for the energy transition, as well as in the construction sector for producing concrete, to name just a few examples.

    The risk posed by water scarcity is not hypothetical, we are already experiencing the impact today. I am sure that many of you remember when the summers of 2018, 2019 and 2020 brought severe droughts and heatwaves even to the Netherlands. In 2018 alone, economic losses in the Netherlands were up to €1.9 billion for agriculture and €155 million for shipping, with widespread but hard-to-quantify damage to ecosystems. This year’s drought is especially alarming: spring 2025 is on track to become the driest ever recorded in the Netherlands, likely surpassing the previous record set nearly 50 years ago. And droughts are only projected to increase further as the climate crisis continues to develop. Worryingly, in the driest scenario an average summer in the 2040s will be about as dry as an extremely dry summer now.

    Effective water management will thus be crucial for sustaining production. However, the risk persists that during periods of drought, production might need to be scaled down. Some industrial processes may become economically unviable and might need to relocate.

    For example, some have even gone as far as to point at a risk that more frequent droughts could render traditional tulip-growing regions such as the Bollenstreek unsuitable for bulb cultivation.[7] This may compel growers to explore better-positioned locations where water is more reliably available to safeguard the iconic Dutch tulip industry.

    Hence, as a consequence of water scarcity, our economies could produce less, and production costs are likely to rise during any inevitable transition phase.

    Let me also point out that biodiversity is a critical – and often underestimated – factor in ensuring the availability and quality of fresh water. Ecosystems such as forests and wetlands regulate the quantity, timing and purity of water flows by stabilising soils and filtering pollutants. Maintaining healthy and diverse ecosystems will be crucial for resilient water provisioning as climate change intensifies, particularly in regions facing growing water stress.

    Beyond these macroeconomic impacts, ecosystem degradation can significantly affect financial stability, for example through the loans that banks grant to households and firms. In essence, the greater the impact on firms, the higher the risk of defaults and the higher the risk on banks’ balance sheets.

    For example, in our research with the University of Oxford we found that more than 34% of banks’ total outstanding nominal amount – over €1.3 trillion – is currently extended to sectors exposed to high water scarcity risk.

    As the next step in our research, we will examine changes in the probability of default in the sectors most affected by dwindling ecosystems. Think about it as stress-testing the resilience of banks’ credit portfolios to nature degradation. We plan to publish these results later this year, complete with a more in-depth analysis on the topic, so stay tuned.

    Multiple stakeholders are taking action

    Encouragingly, our work with the University of Oxford is not an isolated case. We are in fact seeing a wide range of stakeholders taking action to better account for ecosystem services.

    For instance, I hear that our host this evening – the Naturalis Biodiversity Center – has teamed up with banks to combine insights from science and finance to further develop indicators quantifying ecosystem services.

    We are also seeing a growing set of good practices among the banks we supervise in terms of identifying, quantifying and managing nature-related risks. Banks typically conduct materiality assessments to understand where they are most affected. And banks also grapple with the challenge that nature-related risks are difficult to express in a single metric. Once they know where they are exposed, they then typically conduct deep dives on specific topics.

    One bank, for example, has conducted a quantitative scenario analysis to understand how the profitability of its customers could be affected if a water pollution tax were to be implemented.

    Other banks design customer scorecards and engage with the most vulnerable counterparties, sometimes offering small discounts or other incentives when customers meet key performance indicators that increase their resilience.

    It is also encouraging that progress is being made at the international level. The Network for Greening the Financial System (NGFS) – a network of 145 central banks and supervisors from around the world – has developed a conceptual framework offering central banks and supervisors a common understanding of nature-related financial risks and a principle-based risk assessment approach.[8][9] And the Financial Stability Board recently took stock of supervisory and regulatory initiatives among its members, finding that a growing number of financial authorities are considering the potential implications of nature-related risks for the financial sector.[10]

    So scientists, banks, policymakers and supervisors are in fact taking action. That’s good news. Given the high level of uncertainty regarding impacts, non-linearities, tipping points and irreversibility, continuous scientific input and engagement are essential to determine the transmission channels from nature to our economies.

    Reliable and comparable data are key to managing risks and identifying opportunities

    Before I conclude, let me stress a vital enabler to better measure ecosystem services: data. Closer cooperation with natural scientists can help us better understand the data they have available on the status of nature and the ecosystem services it provides. The National Hub for Biodiversity Information provided by our host tonight is an excellent example.[11]

    Moreover, continuous engagement with the scientific community can also help improve our understanding of non-linearities, tipping points and the irreversibility of the biodiversity crisis.

    Similarly, the availability of reliable and comparable data from companies is essential for us to know where the risks are hiding and where opportunities can be found. Such data can, for example, provide insights into companies’ reliance on fresh water for their production processes. In this context, the reporting requirements in the EU’s sustainable finance framework are not merely a “nice to have”, they are providing indispensable information about financial risks and are a solution to the patchwork of different reporting criteria.

    Does that mean that there is no room for simplification? Does it mean that there is no room to ease the reporting burden on smaller firms?

    Of course not.

    As the ECB noted in its recent opinion[And they do!
    Send not to know
    For whom the bell tolls.
    It tolls for thee, ECOnomy!

    Thank you for your attention.

    MIL OSI Economics

  • MIL-OSI Security: Fifteen Charged with Drug Conspiracy and Weapons Charges

    Source: United States Attorneys General

    A 29-count indictment was unsealed today charging 12 men and 3 women for their roles in a drug trafficking organization and related gun offenses.

    According to court documents, the defendants were part of a drug trafficking organization that distributed methamphetamine, powder cocaine, crack cocaine, heroin, oxycodone, Xanax, psylocibin mushrooms, and marijuana. Six of the defendants face additional charges for gun crimes relating to their alleged drug trafficking. The defendants are alleged to have used several drug houses and a food truck to store illegal drugs and conduct drug transactions. As alleged, in one notable instance in June of 2023, U.S. Customs and Border Protection agents seized 29 kilograms of methamphetamine that one defendant was attempting to transport into the United States.

    “As alleged, this drug trafficking organization imported methamphetamine directly from Mexico and used the U.S. mail, a taco truck, and homes in different Houston neighborhoods to distribute and sell methamphetamine and other dangerous drugs,” said Matthew R. Galeotti, Head of the Justice Department’s Criminal Division. “Several of the defendants are also alleged to have used firearms in furtherance of their narcotics trafficking and illegally possessed firearms despite having previously been convicted of felonies. The Criminal Division, along with our federal, state, and local partners, will continue to work tirelessly to combat the scourge of drug trafficking in communities.”

    “The defendants are alleged to have engaged in a multi-drug narcotics distribution ring, and, as often seen in the drug trade, are also alleged to have used illegal firearms to facilitate their enterprise,” said U.S. Attorney Nicholas J. Ganjei for the Southern District of Texas. “Some of the charges indicate methamphetamine was alleged to have been sourced from Mexico, and thus this investigation highlights why this office’s enforcement efforts on the border are so critical. The Southern District of Texas will do everything it can to prevent narcotics from entering our country and will be relentless in apprehending those that would distribute drugs in our communities.”

    “For years, the transnational criminal organization allegedly operated by these gang members has brazenly flooded our local communities with deadly narcotics,” said Special Agent in Charge Chad Plantz of ICE Homeland Security Investigations Houston. “​Working in conjunction with the Houston Police Department and our OCDETF partners, we were able to expose and dismantle their drug trafficking scheme, eliminating a significant contributor to violent crime in the area and saving an untold number of Houstonians from becoming addicted.”

    James Michael Brewer, also known as “Creeper,” 33; Jonathan Alvarado, also known as “Joker,” 28; Hector Luis Lopez, also known as “Capulito,”23; Alfredo Gomez, also known as “Fredo,” 26; and Victor Norris Ellison, 35, all of Houston, have been indicted on drug trafficking and firearm charges. If convicted, they each face a mandatory minimum penalty of 15 years in prison and a maximum penalty of life in prison.

    The following defendants, all of Houston unless otherwise noted, have been indicted on drug trafficking charges. If convicted, they each face a mandatory minimum penalty of 10 years in prison and a maximum penalty of life in prison.  

    • Jose Francisco Garcia-Martinez, also known as “Paco,” 29, a Mexican national,
    • Enzo Xavier Dominguez, also known as “Smiley,” 32,
    • Alexis Delgado, also known as “Chino,” 28,
    • Jose Eduardo Morales, also known as “Primo,” 22,
    • William Alexander Lazo, also known as “Miclo,” 21,
    • Kylie Rae Alvarado, 24,
    • Ruby Mata, 31,
    • Mexi Dyan Garcia, also known as “Mexi,” 31, and
    • Jesus Gomez-Rodriguez, also known as “Jr.,” 33.

    Marcos Rene Simaj-Guch, also known as “Taco Man,” 41, a Mexican national, is charged with drug trafficking. If convicted, he faces a mandatory minimum penalty of five years in prison and a maximum penalty of 40 years in prison.

    The Department of Homeland Security Homeland Security Investigations and the Houston Police Department conducted the investigation with the assistance of the FBI, Bureau of Alcohol, Tobacco, Firearms and Explosives and Texas Board of Criminal Justice Office of the Inspector General.

    Trial Attorneys Ralph Paradiso and Amanda Kotula of the Criminal Division’s Violent Crime and Racketeering Section and Assistant U.S. Attorney Francisco Rodriguez for the Southern District of Texas are prosecuting the case.

    This case is part of the Criminal Division’s Violent Crime Initiative to prosecute violent crimes in Houston, Texas. The Criminal Division and the U.S. Attorney’s Office for the Southern District of Texas have partnered, along with local, state, and federal law enforcement agencies, to confront violent crimes committed by gang members and associates through the enforcement of federal laws and use of federal resources to prosecute the violent offenders and prevent further violence.

    OCDETF identifies, disrupts and dismantles the highest-level drug traffickers, money launderers, gangs and transnational criminal organizations that threaten the United States by using a prosecutor-led, intelligence-driven, multi-agency approach that leverages the strengths of federal, state and local law enforcement agencies against criminal networks. For more information about Organized Crime Drug Enforcement Task Forces, please visit Justice.gov/OCDETF.

    An indictment is merely an allegation. All defendants are presumed innocent until proven guilty beyond a reasonable doubt in a court of law.

    MIL Security OSI

  • MIL-OSI: Intchains Group Limited Reports First Quarter 2025 Unaudited Financial Results

    Source: GlobeNewswire (MIL-OSI)

    Total revenues of US$18.2 million exceeds guidance, up 445.5% YoY

    Total ETH-based cryptocurrency units were approximately 7,023, up 23.2% QoQ

    Income from operations reach US$5.1 million, achieving turnaround from prior-year period

    SINGAPORE, May 22, 2025 (GLOBE NEWSWIRE) — Intchains Group Limited (Nasdaq: ICG) (“we,” or the “Company”), a company that engages in the provision of altcoin mining products, the strategic acquisition and holding of Ethereum-based cryptocurrencies, and the active development of innovative Web3 applications, today announced its unaudited financial results for the first quarter ended March 31, 2025.

    First Quarter 2025 Operating and Financial Highlights

    • Sales Volume of Altcoin Mining Products Measured by Number of Embedded ASIC Chips: Since we offer a wide range of altcoin mining products, with each unit incorporating anywhere from tens to hundreds of ASIC chips, it is more meaningful to measure the sales of our altcoin mining products by the number of embedded ASIC chips. Our sales volume of ASIC chips for Q1 2025 was 709,857 units, compared to 494,235 units for the same period last year, representing an increase of 43.6%.
    • Revenue: Our revenue for Q1 2025 reached RMB132.4 million (US$18.2 million), reflecting a increase of 445.5% from RMB24.3 million for the same period of 2024.
    • Income/(Loss) from Operations: We recorded income from operations of RMB36.9 million (US$5.1 million) for Q1 2025, compared to a loss from operations of RMB34.6 million for the same period of 2024.
    • Net Loss: Our net loss for Q1 2025 was RMB34.0 million (US$4.7 million), reflecting an increase of 129.8% from RMB14.8 million for the same period in 2024.
    • Non-GAAP Adjusted Net Loss: Non-GAAP adjusted net loss in the first quarter of 2025 was RMB32.0 million (US$4.4 million), reflecting an increase of 139.6% from RMB13.3 million for the same period in 2024. Non-GAAP adjusted net loss excludes share-based compensation expenses. For further information, please refer to “Use of Non-GAAP Financial Measures” in this press release.
    • Cryptocurrencies: As of March 31, 2024, the fair value of our cryptocurrency assets other than stablecoins such as USDT and USDC was RMB101.6 million (US$14.0 million), primarily comprised of approximately 7,023 ETH-based cryptocurrencies, valued at RMB93.7 million (US$13.1 million).

    Intchains Group Achieves Milestones in Innovative Solutions and Cryptocurrency Strategy

    Mr. Qiang Ding, Chairman of the Board of Directors and Chief Executive Officer, commented, “In the first quarter of 2025, the cryptocurrency market encountered considerable headwinds. Nevertheless, the Company demonstrated agility and foresight by promptly launching the Aleo series mining machines in response to shifting market dynamics. These altcoin mining machines delivered substantial profitability for miners amid challenging macro market conditions while driving sustainable corporate growth –further validating our expertise in altcoin mining machine innovations and our competitive edge through differentiated market positioning.

    In addition, the Company introduced Goldshell Byte, an innovative dual-mining machine. This milestone reflects the Company’s unique capability to design and manufacture advanced mining machines spanning multiple altcoin protocols. The modular design—featuring a standard miner with pluggable mining cards—offers strategic flexibility for miners and encourages wider participation by retail users. Its compact, home-friendly form factor further promotes widespread participation in the decentralized network.

    During the quarter, small- and mid-cap cryptocurrencies, including Ethereum, experienced downward pressure. Despite this, the Company remained committed to its long-term dollar-cost averaging strategy. As of March 31, 2025, the Company held approximately 7,023 ETH, representing a 23.2% increase quarter-over-quarter.

    In the second quarter of 2025, Ethereum completed its Pectra upgrade, and the Ethereum Foundation reaffirmed its long-term vision with the appointment of a new board of directors. The Company views these developments as positive signals and continues to believe in the enduring value of blockchain technology. As a long-term accumulator of Ethereum, the Company will continue to build its position in alignment with its strategic outlook on decentralized applications.”

    First Quarter 2025 Financial Results

    Revenue

    Revenue was RMB132.4 million (US$18.2 million) for the first quarter of 2025, representing an increase of 445.5% from RMB24.3 million for the same period in 2024. The substantial growth was primarily driven by strong market demand for our newly-launched Aleo series mining machines, which accounted for 74.8% of the total revenue for the first quarter of 2025.

    Cost of Revenue

    Cost of revenue was RMB57.0 million (US$7.9 million) for the first quarter of 2025, representing an increase of 273.8% from RMB15.3 million for the same period of 2024. The percentage increase in cost of revenue was lower than the percentage increase in our revenue, which was primarily due to the higher gross margins for the Aleo series mining machines sold in the first quarter of 2025.

    Operating Expenses

    Total operating expenses were RMB38.4 million (US$5.3 million) for the first quarter of 2025, representing a decrease of 11.8% from RMB43.6 million for the same period of 2024. The decrease was primarily due to a decrease in research and development expenses, partially offset by an increase of general and administrative expenses.

    • Research and development expenses decreased by 27.9% to RMB26.4 million (US$3.6 million) for the first quarter of 2025 from RMB36.5 million for the same period of 2024. The decrease was primarily due to lower expenses related to preliminary research costs conducted for new projects.
    • Sales and marketing expenses increased by 37.8% to RMB2.2 million (US$0.3 million) for the first quarter of 2025 from RMB1.6 million for the same period of 2024, mainly driven by increased personnel-related expenses.
    • General and administrative expenses increased by 81.8% to RMB9.8 million (US$1.4 million) for the first quarter of 2025 from RMB5.4 million for the same period of 2024, mainly driven by increased professional fees, as well as the personnel-related expenses.

    Interest Income

    Interest income decreased by 24.0% to RMB3.2 million (US$0.4 million) for the first quarter of 2025 from RMB4.2 million for the same period of 2024, mainly due to a lower cash level resulting from our strategy of allocating part of our operating cash flow to acquire ETH-based cryptocurrencies.

    Change in fair value of cryptocurrencies

    Change in fair value of cryptocurrencies was RMB70.8 million (US$9.8 million) loss for the first quarter of 2025, compared to RMB5.4 million gain for the same period of 2024. The loss was primarily due to an approximately 46.0% decline in the price of ETH, while we simultaneously increased our holdings of ETH-based cryptocurrency as part of our ongoing ETH accumulation strategy.

    Other Income, Net

    Other income, net remained steady at RMB0.1 million and RMB0.2 million (US$0.03 million), respectively, for the first quarter of 2024 and 2025.

    Net Loss

    As a result of the foregoing, our net loss increased by 129.8% to RMB34.0 million (US$4.7 million) for the first quarter of 2025 from RMB14.8 million for the same period of 2024.

    Non-GAAP Adjusted Net Loss

    Non-GAAP adjusted net loss increased by 139.6% to RMB32.0 million (US$4.4 million) for the first quarter of 2025 from RMB13.3 million for the same period of 2024.

    Basic and Diluted Net Loss Per Ordinary Share

    Basic and diluted net loss per ordinary share both increased by 133.3% to RMB0.28 (US$0.04) for the first quarter of 2025 from RMB0.12 for the same period of 2024.

    Non-GAAP Basic and Diluted Net Loss Per Ordinary Share

    Non-GAAP adjusted basic and diluted net loss per ordinary share increased by 145.5% to RMB0.27 (US$0.04) for the first quarter of 2025 from RMB0.11 for the same period of 2024. Each ADS represents two of the Company’s Class A ordinary shares.

    Recent Development

    Aleo Mining: In the first quarter of 2025, we led the market with the launch of our Aleo series mining machines, which were well-received by the crypto mining communities globally despite sustained macro market pressures. By the end of May 2025, we had released five key models of the Aleo series, which have demonstrated strong competitiveness in the PoW sector in terms of daily profitability.

    Goldshell Byte: On March 26, 2025, we officially launched Goldshell Byte, our latest flagship product, and an innovative dual-mining machine. Designed to allow miners to dynamically respond to market changes, Goldshell Byte combines standardized hardware with modular pluggable cards, drawing upon the our deep and extensive experience across multiple altcoin ecosystems. This innovation is expected to further strengthen our market position in the altcoin mining space.

    Conference Call Information

    The Company’s management team will host an earnings conference call to discuss its financial results at 8:00 PM U.S. Eastern Time on May 22, 2025 (8:00 AM Beijing Time on May 23, 2025). Details for the conference call are as follows:

    Event Title: Intchains Group Limited First Quarter 2025 Earnings Conference Call

    Date: May 22, 2025

    Time: 8:00 PM U.S. Eastern Time

    Registration Link: https://register-conf.media-server.com/register/BI0dda68e5b19a4a7daade5ed1cf188ed8

    All participants must use the link provided above to complete the online registration process in advance of the conference call. Upon registering, each participant will receive a set of dial-in numbers and a personal access PIN, which will be used to join the conference call.

    Additionally, a live and archived webcast of the conference call will also be available at the Company’s website at https://ir.intchains.com/.

    About Intchains Group Limited

    Intchains Group Limited is a company that engages in the provision of altcoin mining products, the strategic acquisition and holding of Ethereum-based cryptocurrencies, and the active development of innovative Web3 applications. For more information, please visit the Company’s website at: https://intchains.com/.

    Exchange Rate Information

    The unaudited United States dollar (“US$”) amounts disclosed in the accompanying financial statements are presented solely for the convenience of the readers. Translations of amounts from RMB into US$ for the convenience of the reader were calculated at the noon buying rate of US$1.00=RMB7.2567 on the last trading day of the first quarter of 2025 (March 31, 2025). No representation is made that the RMB amounts could have been, or could be, converted into US$ at such rate.

    Forward-Looking Statements

    Certain statements in this announcement are forward-looking statements. These forward-looking statements involve known and unknown risks and uncertainties and are based on the Company’s current expectations and projections about future events that the Company believes may affect its financial condition, results of operations, business strategy and financial needs. Forward-looking statements include, but are not limited to, statements about: (i) our goals and strategies; (ii) our future business development, formed condition and results of operations; (iii) expected changes in our revenue, costs or expenditures; (iv) growth of and competition trends in our industry; (v) our expectations regarding demand for, and market acceptance of, our products; (vi) general economic and business conditions in the markets in which we operate; (vii) relevant government policies and regulations relating to our business and industry; (viii) fluctuations in the market price of ETH-based cryptocurrencies; gains or losses from the sale of ETH-based cryptocurrencies; changes in accounting treatment for the Company’s ETH-based cryptocurrencies holdings; a decrease in liquidity in the markets in which ETH-based cryptocurrencies are traded; security breaches, cyberattacks, unauthorized access, loss of private keys, fraud, or other events leading to the loss of the Company’s ETH-based cryptocurrencies; impacts to the price and rate of adoption of ETH-based cryptocurrencies associated with financial difficulties and bankruptcies of various participants in the industry; and (viii) assumptions underlying or related to any of the foregoing. Investors can identify these forward-looking statements by words or phrases such as “may,” “could,” “will,” “should,” “would,” “expect,” “plan,” “intend,” “anticipate,” “believe,” “estimate,” “predict,” “potential,” “project” or “continue” or the negative of these terms or other comparable terminology. The Company undertakes no obligation to update or revise publicly any forward-looking statements to reflect subsequent occurring events or circumstances, or changes in its expectations, except as may be required by law. Although the Company believes that the expectations expressed in these forward-looking statements are reasonable, it cannot assure you that such expectations will turn out to be correct, and the Company cautions investors that actual results may differ materially from the anticipated results and encourages investors to review other factors that may affect its future results in the Company’s registration statement and other filings with the SEC.

    Use of Non-GAAP Financial Measures

    In evaluating Company’s business, the Company uses non-GAAP measures, such as adjusted income (loss) from operations and adjusted net income (loss), as supplemental measures to review and assess its operating performance. The Company defines adjusted income (loss) from operations as income (loss) from operations excluding share-based compensation expenses, and adjusted net income (loss) as net income (loss) excluding share-based compensation expenses. The Company believes that the non-GAAP financial measures provide useful information about the Company’s results of operations, enhance the overall understanding of the Company’s past performance and future prospects and allow for greater visibility with respect to key metrics used by the Company’s management in its financial and operational decision-making.

    The non-GAAP financial measures are not defined under U.S. GAAP and are not presented in accordance with U.S. GAAP. The non-GAAP financial measures have limitations as analytical tools and investors should not consider them in isolation, or as a substitute for net income, cash flows provided by operating activities or other consolidated statements of operations and cash flows data prepared in accordance with U.S. GAAP. One of the key limitations of using adjusted net income is that it does not reflect all of the items of income and expense that affect the Company’s operations. Share based compensation expenses have been and may continue to be incurred in Company’s business and are not reflected in the presentation of adjusted net income. Further, the non-GAAP financial measures may differ from the non-GAAP information used by other companies, including peer companies, and therefore their comparability may be limited. The Company mitigates these limitations by reconciling the non-GAAP financial measures to the most comparable U.S. GAAP performance measures, all of which should be considered when evaluating the Company’s performance.

    For investor and media inquiries, please contact:

    Intchains Group Limited
    Investor relations
    Email: ir@intchains.com

    Redhill
    Belinda Chan
    Tel: +852-9379-3045
    Email: belinda.chan@creativegp.com

    INTCHAINS GROUP LIMITED
    UNAUDITED CONDENSED CONSOLIDATED BALANCE SHEETS
    (All amounts in thousands, except share and per share data, or as otherwise noted)

      As of December 31,   As of March 31
      2024    2025
      RMB   RMB US$
    ASSETS        
    Current Assets:        
    Cash and cash equivalents 322,252     243,316   33,530
    USDC 1,690     3,458   476
    Cryptocurrency, current 30,079     11,674   1,609
    Inventories, net 98,614     92,494   12,746
    Prepayments and other current assets, net 69,703     67,857   9,351
    Short-term investments 198,562     300,530   41,414
    Total current assets 720,900     719,329   99,126
    Non-current Assets:        
    Cryptocurrencies, non-current 148,790     101,566   13,996
    Long-term investments 20,569     21,913   3,020
    Property, equipment, and software, net 157,065     155,934   21,489
    Intangible assets, net 3,552     3,424   472
    Right-of-use assets 272      
    Deferred tax assets 28,942     26,173   3,607
    Other non-current assets 9,419     9,712   1,338
    Total non-current assets 368,609     318,722   43,922
    Total assets 1,089,509     1,038,051   143,048
    LIABILITIES, AND SHAREHOLDERS’ EQUITY        
    Current Liabilities:        
    Accounts payable 14,847     5,191   715
    Contract liabilities 37,447     28,866   3,979
    Income tax payable 2,023     1,241   171
    Lease liabilities 272      
    Provision for warranty 161     241   33
    Accrued liabilities and other current liabilities 21,692     17,367   2,393
    Total current liabilities 76,442     52,906   7,291
    Total liabilities 76,442     52,906   7,291
    Shareholders’ Equity:        
    Ordinary shares (US$0.000001 par value; 50,000,000,000 shares authorized, 120,081,456 and 120,803,478 shares issued, 120,020,962 and 120,742,984 shares outstanding as of December 31, 2024 and March 31, 2025, respectively) 1     1  
    Subscriptions receivable from shareholders (1 )   (1 )
    Additional paid-in capital 195,236     201,629   27,785
    Statutory reserves 51,762     51,912   7,154
    Accumulated other comprehensive income 3,777     3,459   477
    Retained earnings 762,292     728,145   100,341
    Total shareholders’ equity 1,013,067     985,145   135,757
    Total liabilities and shareholders’ equity 1,089,509     1,038,051   143,048
    INTCHAINS GROUP LIMITED
    UNAUDITED CONDENSED CONSOLIDATED STATEMENTS OF OPERATIONS AND COMPREHENSIVE LOSS
    (All amounts in thousands, except share and per share data, or as otherwise noted)
      For the Three Months ended March 31,  
      2024    2025  
      RMB   RMB US$  
    Products revenue 24,271     132,391   18,244  
    Cost of revenue (15,262 )   (57,045 ) (7,861 )
    Gross profit 9,009     75,346   10,383  
    Operating expenses:        
    Research and development expenses (36,540 )   (26,354 ) (3,632 )
    Sales and marketing expenses (1,623 )   (2,237 ) (308 )
    General and administrative expenses (5,410 )   (9,838 ) (1,356 )
    Total operating expenses (43,573 )   (38,429 ) (5,296 )
    Income/(Loss) from operations (34,564 )   36,917   5,087  
    Interest income 4,150     3,154   435  
    Foreign exchange loss, net (254 )   (179 ) (25 )
    Change in fair value of cryptocurrencies 5,442     (70,814 ) (9,758 )
    Other income, net 139     193   27  
    Loss before income tax expenses (25,087 )   (30,729 ) (4,234 )
    Income tax (expense)/benefit 10,292     (3,268 ) (450 )
    Net loss (14,795 )   (33,997 ) (4,684 )
    Foreign currency translation adjustment, net of nil tax 108     (318 ) (44 )
    Total comprehensive loss (14,687 )   (34,315 ) (4,728 )
             
    Weighted average number of shares used in per share calculation        
    — Basic 119,888,044     120,053,052   120,053,052  
    — Diluted 119,888,044     120,053,052   120,053,052  
    Net loss per share        
    — Basic (0.12 )   (0.28 ) (0.04 )
    — Diluted (0.12 )   (0.28 ) (0.04 )
    INTCHAINS GROUP LIMITED
    RECONCILIATIONS OF GAAP AND NON-GAAP RESULTS
    (All amounts in thousands, except per share data)
      For the Three Months ended March 31,
      2024   2025
      RMB   RMB US$
    Income/(Loss) from operations (34,564 )   36,917   5,087  
    Add:        
    Share-based compensation expense 1,452     2,022   279  
    Non-GAAP adjusted operating income/(loss) (33,112 )   38,939   5,366  
    Net loss (14,795 )   (33,997 ) (4,684 )
    Add:        
    Share-based compensation expense 1,452     2,022   279  
    Non-GAAP adjusted net loss (13,343 )   (31,975 ) (4,405 )
             
    Non-GAAP adjusted net loss per share        
    — Basic (0.11 )   (0.27 ) (0.04 )
    — Diluted (0.11 )   (0.27 ) (0.04 )
    INTCHAINS GROUP LIMITED
    UNAUDITED CRYPTOCURRENCY-ADDITIONAL INFORMATION
     
    As of Quarter Ended Cryptocurrency Approximate
    Number of
    Cryptocurrency
    Held at End of
    Quarter
    Original Cost
    Basis
    Approximate
    Average Cost
    Price Per Unit
    of
    Cryptocurrency
    Lowest Market
    Price Per Unit of
    Cryptocurrency
    During Quarter
    (a)
    Market Value of
    Cryptocurrency
    Held at End of
    Quarter Using
    Lowest Market
    Price (b)
    Highest Market
    Price Per Unit of
    Cryptocurrency
    During Quarter
    (c)
    Market Value of
    Cryptocurrency
    Held at End of
    Quarter Using
    Highest Market
    Price (d)
    Market Price
    Per Unit of
    Cryptocurrency at End of Quarter
    (e)
    Market Value of
    Cryptocurrency
    Held at End of
    Quarter Using
    Ending Market
    Price (f)
        Unit USD USD USD USD USD USD USD USD
    March 31, 2025 ETH 6,347 18,031,664 2,841 1,754 11,132,638 3,746 23,775,862 1,842 11,691,174
    ETH-Coinbase Staked 676 1,954,713 2,892 1,914 1,293,864 4,065 2,747,940 2,017 1,363,492
    Bitcoin 12.66 946,882 74,793 76,555 969,186 109,358 1,384,472 83,416 1,056,047
    USDT&USDC 2,108,065 2,111,681 1 1 2,091,378 1 2,124,947 1 2,107,951
    Others Multiple * 84,283 Multiple * Multiple * 33,817 Multiple * 94,121 Multiple * 37,553
      Total   23,129,223     15,520,883   30,127,342   16,256,217
                         
    December 31, 2024 ETH 5,075 15,102,524 2,976 2,309 11,718,175 4,109 20,853,175 3,414 17,326,050
    ETH-Coinbase Staked 627 1,800,713 2,872 2,487 1,559,349 4,450 2,790,150 3,701 2,320,527
    Bitcoin 10.29 720,567 70,026 58,864 605,711 108,389 1,115,323 95,285 980,483
    USDT&USDC 4,425,484 4,428,159 1 1 4,384,335 1 4,469,357 1 4,419,574
    Others Multiple * 78,298 Multiple * Multiple * 30,694 Multiple * 101,589 Multiple * 69,389
      Total   22,130,261     18,298,264   29,329,594   25,116,023
                         
    September 30, 2024 ETH 3,522 10,115,116 2,872 2,116 7,452,552 3,563 12,548,886 2,596 9,143,112
    ETH-Coinbase Staked 627 1,800,713 2,872 2,290 1,435,830 3,926 2,461,602 2,807 1,759,989
    Bitcoin 8.47 549,364 64,860 49,050 415,454 70,000 592,900 63,552 538,285
    USDT&USDC 9,847,687 9,849,266 1 1 9,814,682 1 9,857,395 1 9,845,929
    Others Multiple * 105,405 Multiple * Multiple * 36,415 Multiple * 72,441 Multiple * 53,661
      Total   22,419,864     19,154,933   25,533,224   21,340,976
                         
    June 30, 2024 ETH 1,937 6,179,744 3,190 2,814 5,450,718 3,974 7,697,638 3,394 6,574,178
    ETH-Coinbase Staked 480 1,301,108 2,711 2,954 1,417,920 4,243 2,036,640 3,645 1,749,600
    Bitcoin 3.95 265,883 67,312 56,500 223,175 72,777 287,469 61,613 243,371
    USDT&USDC 10,422,648 10,423,276 1 1 10,386,315 1 10,458,980 1 10,404,063
    Others Multiple * 107,484 Multiple * Multiple * 54,226 Multiple * 122,435 Multiple * 64,202
    Total   18,277,495     17,532,354   20,603,162   19,035,414
                         
    March 31,2024 ETH 346 999,180 2,888 2,100 726,600 4,094 1,416,524 3,618 1,251,828
    ETH-Coinbase Staked 479 1,297,687 2,709 2,236 1,071,044 4,341 2,079,339 3,842 1,840,318
    Bitcoin 0.67 44,995 67,157 38,501 25,796 73,836 49,470 70,407 47,173
    USDT&USDC 99,583 99,583 1 1 99,583 1 99,583 1 99,583
    Others Multiple * 81,571 Multiple * Multiple * 67,814 Multiple * 124,481 Multiple * 91,346
    Total   2,523,016     1,990,837   3,769,397   3,330,248

    * The ‘Others’ category encompasses various cryptocurrencies that are not reported individually due to their lower significance. This category is labeled as ‘Multiple’ to indicate the presence of diverse prices associated with different type of cryptocurrency. Due to their immaterial nature, detailed price listings are not provided.
    (a) The “Lowest Market Price Per Unit of Cryptocurrency During Quarter” represents the lowest market price for a single unit of cryptocurrency reported on the Coinbase exchange during the respective quarter, without regard to when we obtained any of the cryptocurrency.
    (b) The “Market Value of Cryptocurrency Held at End of Quarter Using Lowest Market Price” represents a mathematical calculation consisting of the lowest market price for a single unit of cryptocurrency reported on the Coinbase exchange during the respective quarter multiplied by the number of cryptocurrency we held at the end of the applicable period.
    (c) The “Highest Market Price Per Unit of Cryptocurrency During Quarter” represents the highest market price for a single unit of cryptocurrency reported on the Coinbase exchange during the respective quarter, without regard to when we obtained any of the cryptocurrency.
    (d) The “Market Value of Cryptocurrency Held at End of Quarter Using Highest Market Price” represents a mathematical calculation consisting of the highest market price for a single unit of cryptocurrency reported on the Coinbase exchange during the respective quarter multiplied by the number of cryptocurrency we held at the end of the applicable period.
    (e) The “Market Price Per Unit of Cryptocurrency at End of Quarter” represents the market price of a single unit of cryptocurrency on the Coinbase exchange at midnight UTC+8 time on the last day of the respective quarter, which aligns with our revenue recognition cut-off.
    (f) The “Market Value of Cryptocurrency Held at End of Quarter Using Ending Market Price” represents a mathematical calculation consisting of the market price of a single unit of cryptocurrency on the Coinbase exchange at midnight UTC+8 time on the last day of the respective quarter multiplied by the number of cryptocurrency we held at the end of the applicable period.

    The MIL Network

  • MIL-OSI: Codere Online Receives Delisting Notice from Nasdaq and Submits Appeal

    Source: GlobeNewswire (MIL-OSI)

    Luxembourg, Grand Duchy of Luxembourg, May 22, 2025 – (GLOBE NEWSWIRE) Codere Online Luxembourg, S.A. (“Codere Online” or the “Company”) (Nasdaq: CDRO / CDROW), today announced that, on May 16, 2025, it received a staff determination letter (the “Letter”), from the Listing Qualifications Department of The Nasdaq Stock Market LLC (“Nasdaq”), notifying the Company of the determination from the Nasdaq Staff (the “Staff”) to delist the Company’s securities from The Nasdaq Stock Market, given the Company had not filed its Form 20-F for the year ended December 31, 2024 (the “2024 Form 20-F”) in accordance with continued Listing Rule 5250(c)(1) (the “Public Reports Rule”). As previously reported, the Company’s delay in filing its 2024 Form 20-F is due to the fact that the finalization of the audit of the Company’s financial statements for the year ended December 31, 2024 has taken longer than expected following the engagement of the Company’s new independent registered public accounting firm on December 31, 2024 and the Company’s diligent efforts to finalize the Form 20-F for the year ended December 31, 2023, which the Company filed with the Securities and Exchange Commission (“SEC”) on May 1, 2025.

    The Letter states that the Company may seek review of the Staff’s determination to a hearings panel pursuant to the procedures set forth in the Nasdaq Listing Rule 5800 Series. Hearings are typically scheduled to occur approximately 30-45 days after the date of the hearing request. A request for a hearing regarding a delinquent filing automatically stays the delisting of the Company’s securities from Nasdaq through the duration of the hearing. It also automatically stays the suspension of trading of the Company’s securities for a period of 15 days from the date of the request. The Letter also states that when the Company requests a hearing, it may also request a further stay of the suspension of trading through the duration of the hearing process.

    Earlier today, the Company formally requested both a hearing to review the delisting determination and a further stay of suspension of trading through the duration of the hearing process. Furthermore, in connection with this stay request, the Company submitted materials to Nasdaq to explain why this stay is appropriate, as required by Nasdaq. The Company has not yet received a determination regarding its request for this further stay of suspension of trading.

    The Company continues to work diligently to complete and file with the SEC the 2024 Form 20-F and believes it will be able to do so, thereby regaining compliance with the Public Reports Rule, on or prior to May 30, 2025, ahead of any hearing, and in any event within the extension period the Company plans to seek from the Hearings Panel.

    If Nasdaq does not grant the further stay of the suspension of trading of the Company’s securities, trading of the Company’s securities will be suspended at the opening of business on June 6, 2025. If the Company fails to obtain an extension period from Nasdaq, a Form 25 NSE will be filed with the SEC, which will remove the Company’s securities from listing and registration on The Nasdaq Stock Market.

    About Codere Online

    Codere Online refers, collectively, to Codere Online Luxembourg, S.A. and its subsidiaries. Codere Online launched in 2014 as part of the renowned casino operator Codere Group. Codere Online offers online sports betting and online casino through its state-of-the art website and mobile applications. Codere currently operates in its core markets of Spain, Mexico, Colombia, Panama and Argentina. Codere Online’s online business is complemented by Codere Group’s physical presence in Spain and throughout Latin America, forming the foundation of the leading omnichannel gaming and casino presence.

    Forward-Looking Statements

    Certain statements in this press release may constitute “forward-looking statements” within the meaning of the “safe harbor” provisions of the United States Private Securities Litigation Reform Act of 1995. Forward-looking statements include, but are not limited to, statements regarding the Company or its management team’s expectations, hopes, beliefs, intentions or strategies regarding the future, including the Company’s expectations about the timing of completion and filing of the 2024 20-F and timing and actions taken to regain compliance with Nasdaq.

    These forward-looking statements are based on information available as of the date of this document and current expectations, forecasts and assumptions, and involve a number of judgments, risks and uncertainties. Accordingly, forward-looking statements should not be relied upon as representing the Company’s or its management team’s views as of any subsequent date, and the Company does not undertake any obligation to update forward-looking statements to reflect events or circumstances after the date they were made, whether as a result of new information, future events or otherwise, except as may be required under applicable securities laws.

    As a result of a number of known and unknown risks and uncertainties, the Company’s actual results or performance may be materially different from those expressed or implied by these forward-looking statements. There may be additional risks that the Company does not presently know or that the Company currently believes are immaterial that could also cause actual results to differ from those contained in the forward-looking statements. Additional information concerning certain of these and other risk factors is contained in Codere Online’s filings with the U.S. Securities and Exchange Commission (the “SEC”). All subsequent written and oral forward-looking statements concerning Codere Online or other matters and attributable to Codere Online or any person acting on their behalf are expressly qualified in their entirety by the cautionary statements above.

    For investor and media inquiries, please contact
    Guillermo Lancha
    Director, Investor Relations and Communications
    Guillermo.Lancha@codereonline.com
    (+34) 628.928.152

    The MIL Network

  • MIL-OSI: StepStone Group Reports Fourth Quarter and Fiscal Year 2025 Results

    Source: GlobeNewswire (MIL-OSI)

    NEW YORK, May 22, 2025 (GLOBE NEWSWIRE) — StepStone Group Inc. (Nasdaq: STEP), a global private markets investment firm focused on providing customized investment solutions and advisory and data services, today reported results for the quarter ended March 31, 2025. This represents results for the fourth quarter and fiscal year ended March 31, 2025. The Board of Directors of the Company has declared a quarterly cash dividend of $0.24 per share of Class A common stock, and a supplemental cash dividend of $0.40 per share of Class A common stock, both payable on June 30, 2025, to the holders of record as of the close of business on June 13, 2025.

    StepStone issued a full detailed presentation of its fourth quarter and full fiscal year ended March 31, 2025 results, which can be accessed by visiting the Company’s website at https://shareholders.stepstonegroup.com.

    Webcast and Earnings Conference Call

    Management will host a webcast and conference call today, Thursday, May 22, 2025 at 5:00 pm ET to discuss the Company’s results for the fourth quarter and fiscal year ended March 31, 2025. The webcast will be made available on the Shareholders section of the Company’s website at https://shareholders.stepstonegroup.com. To listen to a live broadcast, go to the site at least 15 minutes prior to the scheduled start time to register. A replay will also be available on the Shareholders section of the Company’s website approximately two hours after the conclusion of the event.

    To join as a live participant in the question and answer portion of the call, participants must register at https://register-conf.media-server.com/register/BI83b497f55a944def8cfadab7f935822b. Upon registering you will receive the dial-in number and a PIN to join the call as well as an email confirmation with the details.

    About StepStone

    StepStone Group Inc. (Nasdaq: STEP) is a global private markets investment firm focused on providing customized investment solutions and advisory and data services to its clients. As of March 31, 2025, StepStone was responsible for approximately $709 billion of total capital, including $189 billion of assets under management. StepStone’s clients include some of the world’s largest public and private defined benefit and defined contribution pension funds, sovereign wealth funds and insurance companies, as well as prominent endowments, foundations, family offices and private wealth clients, which include high-net-worth and mass affluent individuals. StepStone partners with its clients to develop and build private markets portfolios designed to meet their specific objectives across the private equity, infrastructure, private debt and real estate asset classes.

    Forward-Looking Statements

    Some of the statements in this release may constitute “forward-looking statements” within the meaning of Section 27A of the Securities Act of 1933, Section 21E of the Securities Exchange Act of 1934 and the Private Securities Litigation Reform Act of 1995. All statements other than statements of historical fact are forward-looking. Words such as “anticipate,” “believe,” “continue,” “estimate,” “expect,” “future,” “intend,” “may,” “plan” and “will” and similar expressions identify forward-looking statements. Forward-looking statements reflect management’s current plans, estimates and expectations and are inherently uncertain. The inclusion of any forward-looking information in this release should not be regarded as a representation that the future plans, estimates or expectations contemplated will be achieved. Forward-looking statements are subject to various risks, uncertainties and assumptions. Important factors that could cause actual results to differ materially from those in forward-looking statements include, but are not limited to, global and domestic market and business conditions, our successful execution of business and growth strategies, the favorability of the private markets fundraising environment, successful integration of acquired businesses and regulatory factors relevant to our business, as well as assumptions relating to our operations, financial results, financial condition, business prospects, growth strategy and liquidity and the risks and uncertainties described in greater detail under the “Risk Factors” section of our annual report on Form 10-K filed with the U.S. Securities and Exchange Commission (the “SEC”) on May 24, 2024, and in our annual report on Form 10-K to be filed with the SEC for the fiscal year ended March 31, 2025, and in our subsequent reports filed with the SEC, as such factors may be updated from time to time. We undertake no obligation to revise or update any forward-looking statements, whether as a result of new information, future events or otherwise, except as may be required by law.

    Non-GAAP Financial Measures

    To supplement our consolidated financial statements, which are prepared and presented in accordance with generally accepted accounting principles in the United States (“GAAP”), we use the following non-GAAP financial measures: fee revenues, adjusted revenues, adjusted net income (on both a pre-tax and after-tax basis), adjusted net income per share, adjusted weighted-average shares, fee-related earnings, fee-related earnings margin, gross realized performance fees and performance fee-related earnings. We have provided this non-GAAP financial information, which is not calculated or presented in accordance with GAAP, as information supplemental and in addition to the financial measures presented in this earnings release that are calculated and presented in accordance with GAAP. Such non-GAAP financial measures should not be considered superior to, as a substitute for or alternative to, and should be considered in conjunction with, the GAAP financial measures presented in this earnings release. The presentation of these measures should not be construed as an inference that our future results will be unaffected by unusual or non-recurring items. In addition, the non-GAAP financial measures in this earnings release may not be comparable to similarly titled measures used by other companies in our industry or across different industries. For definitions of these non-GAAP measures and reconciliations to applicable GAAP measures, please see the section titled “Non-GAAP Financial Measures: Definitions and Reconciliations.”

    Financial Highlights and Key Business Drivers/Operating Metrics

      Three Months Ended   Year Ended March 31,   Percentage Change
    (in thousands, except share and per share amounts and where noted) March 31,
    2024
    June 30,
    2024
    September
    30, 2024
    December
    31, 2024
    March 31,
    2025
        2024     2025     vs. FQ4’24 vs. FY’24
    Financial Highlights                      
    GAAP Results                      
    Management and advisory fees, net $ 153,410   $ 178,015   $ 184,758   $ 190,840   $ 213,401     $ 585,140   $ 767,014     39% 31%
    Total revenues   356,810     186,401     271,677     339,023     377,729       711,631     1,174,830     6% 65%
    Total performance fees   203,400     8,386     86,919     148,183     164,328       126,491     407,816     (19)% 222%
    Net income (loss)   82,542     48,045     53,138     (287,163 )   13,153       167,820     (172,827 )   (84)% na
    Net income (loss) per share of Class A common stock:                      
    Basic $ 0.48   $ 0.20   $ 0.26   $ (2.61 ) $ (0.24 )   $ 0.91   $ (2.52 )   na na
    Diluted $ 0.48   $ 0.20   $ 0.26   $ (2.61 ) $ (0.24 )   $ 0.91   $ (2.52 )   na na
    Weighted-average shares of Class A common stock:                      
    Basic   64,194,859     66,187,754     68,772,051     73,687,289     75,975,770       63,489,135     71,142,916     18% 12%
    Diluted   67,281,567     68,593,761     69,695,315     73,687,289     75,975,770       66,544,038     71,142,916     13% 7%
    Quarterly dividend per share of Class A common stock(1) $ 0.21   $ 0.21   $ 0.24   $ 0.24   $ 0.24     $ 0.83   $ 0.93     14% 12%
    Supplemental dividend per share of Class A common stock(2) $   $ 0.15   $   $   $     $ 0.25   $ 0.15     na (40)%
    Accrued carried interest allocations $ 1,354,051   $ 1,328,853   $ 1,381,110   $ 1,474,543   $ 1,495,664           10%  
                           
    Non-GAAP Results(3)                      
    Fee revenues(4) $ 153,808   $ 178,514   $ 185,481   $ 191,832   $ 214,662     $ 586,379   $ 770,489     40% 31%
    Adjusted revenues   177,357     221,165     208,788     243,905     295,861       665,060     969,719     67% 46%
    Fee-related earnings (“FRE”)   50,900     71,656     72,349     74,118     94,081       189,793     312,204     85% 64%
    FRE margin(5)   33 %   40 %   39 %   39 %   44 %     32 %   41 %      
    Gross realized performance fees   23,549     42,651     23,307     52,073     81,199       78,681     199,230     245% 153%
    Performance fee-related earnings (“PRE”)   12,128     21,803     14,540     26,596     41,543       40,994     104,482     243% 155%
    Adjusted net income (“ANI”)   37,716     57,241     53,569     52,659     80,603       139,393     244,072     114% 75%
    Adjusted weighted-average shares   115,512,301     118,510,499     118,774,233     118,935,179     118,869,111       115,134,473     118,772,442        
    ANI per share $ 0.33   $ 0.48   $ 0.45   $ 0.44   $ 0.68     $ 1.21   $ 2.05     106% 69%
                           
    Key Business Drivers/Operating Metrics (in billions)                      
    Assets under management (“AUM”)(6) $ 156.6   $ 169.3   $ 176.1   $ 179.2   $ 189.4           21%  
    Assets under advisement (“AUA”)(6)   521.1     531.4     505.9     518.7     519.7            
    Fee-earning AUM (“FEAUM”)   93.9     100.4     104.4     114.2     121.4           29%  
    Undeployed fee-earning capital (“UFEC”)   22.6     27.6     29.7     21.7     24.6           9%  

    _______________________________
    (1) Dividends paid, as reported in this table, relate to the preceding quarterly period in which they were earned.
    (2) The supplemental cash dividend relates to earnings in respect of our full fiscal years 2023 and 2024, respectively.
    (3) Fee revenues, adjusted revenues, FRE, FRE margin, gross realized performance fees, PRE, ANI, adjusted weighted-average shares and ANI per share are non-GAAP measures. See the definitions of these measures and reconciliations to the respective, most comparable GAAP measures under “Non-GAAP Financial Measures: Definitions and Reconciliations.”
    (4) Excludes the impact of consolidating the Consolidated Funds. See reconciliation of GAAP measures to adjusted measures that follows.
    (5) FRE margin is calculated by dividing FRE by fee revenues.
    (6) AUM/AUA reflects final data for the prior period, adjusted for net new client account activity through the period presented. Does not include post-period investment valuation or cash activity. Net asset value (“NAV”) data for underlying investments is as of the prior period, as reported by underlying managers up to the business day occurring on or after 100 days, or 115 days at the fiscal year-end, following the prior period end. When NAV data is not available by the business day occurring on or after 100 days, or 115 days at the fiscal year-end, following the prior period end, such NAVs are adjusted for cash activity following the last available reported NAV.  

    StepStone Group Inc.
    GAAP Consolidated Balance Sheets
    (in thousands, except share and per share amounts)

      As of March 31,
        2025       2024
    Assets      
    Cash and cash equivalents $ 244,791     $ 143,430
    Restricted cash   502       718
    Fees and accounts receivable   80,871       56,769
    Due from affiliates   92,723       67,531
    Investments:      
    Investments in funds   183,694       135,043
    Accrued carried interest allocations   1,495,664       1,354,051
    Legacy Greenspring investments in funds and accrued carried interest allocations(1)   629,228       631,197
    Deferred income tax assets   382,886       184,512
    Lease right-of-use assets, net   91,841       97,763
    Other assets and receivables   62,869       60,611
    Intangibles, net   263,872       304,873
    Goodwill   580,542       580,542
    Assets of Consolidated Funds:      
    Cash and cash equivalents   44,511       38,164
    Investments, at fair value   415,011       131,858
    Other assets   17,688       1,745
    Total assets $ 4,586,693     $ 3,788,807
    Liabilities and stockholders’ equity      
    Accounts payable, accrued expenses and other liabilities $ 89,731     $ 127,417
    Accrued compensation and benefits   736,695       101,481
    Accrued carried interest-related compensation   757,968       719,497
    Legacy Greenspring accrued carried interest-related compensation(1)   495,739       484,154
    Due to affiliates   331,821       212,918
    Lease liabilities   113,519       119,739
    Debt obligations   269,268       148,822
    Liabilities of Consolidated Funds:      
    Other liabilities   17,580       1,645
    Total liabilities   2,812,321       1,915,673
    Redeemable non-controlling interests in Consolidated Funds   377,897       102,623
    Redeemable non-controlling interests in subsidiaries   6,327       115,920
    Stockholders’ equity:      
    Class A common stock, $0.001 par value, 650,000,000 authorized; 76,761,399 and 65,614,902 issued and outstanding as of March 31, 2025 and 2024, respectively   77       66
    Class B common stock, $0.001 par value, 125,000,000 authorized; 39,656,954 and 45,030,959 issued and outstanding as of March 31, 2025 and 2024, respectively   40       45
    Additional paid-in capital   421,057       310,293
    Retained earnings (accumulated deficit)   (242,546 )     13,768
    Accumulated other comprehensive income   728       304
    Total StepStone Group Inc. stockholders’ equity   179,356       324,476
    Non-controlling interests in subsidiaries   1,056,510       974,559
    Non-controlling interests in legacy Greenspring entities(1)   133,489       147,042
    Non-controlling interests in the Partnership   20,793       208,514
    Total stockholders’ equity   1,390,148       1,654,591
    Total liabilities and stockholders’ equity $ 4,586,693     $ 3,788,807

    (1)   Reflects amounts attributable to consolidated VIEs for which the Company did not acquire any direct economic interests.     

    StepStone Group Inc.
    GAAP Consolidated Statements of Income (Loss)
    (in thousands, except share and per share amounts)

      Three Months Ended March 31,   Year Ended March 31,
        2025       2024       2025       2024  
    Revenues              
    Management and advisory fees, net $ 213,401     $ 153,410     $ 767,014     $ 585,140  
    Performance fees:              
    Incentive fees   5,910       2,496       32,275       25,339  
    Carried interest allocations:              
    Realized   75,935       18,054       159,653       49,401  
    Unrealized   21,177       151,757       141,547       126,908  
    Total carried interest allocations   97,112       169,811       301,200       176,309  
    Legacy Greenspring carried interest allocations(1)   61,306       31,093       74,341       (75,157 )
    Total performance fees   164,328       203,400       407,816       126,491  
    Total revenues   377,729       356,810       1,174,830       711,631  
    Expenses              
    Compensation and benefits:              
    Cash-based compensation   85,510       74,411       331,808       292,962  
    Equity-based compensation   126,197       13,937       669,126       42,357  
    Performance fee-related compensation:              
    Realized   39,656       11,421       94,748       37,687  
    Unrealized   27,777       84,014       94,272       74,694  
    Total performance fee-related compensation   67,433       95,435       189,020       112,381  
    Legacy Greenspring performance fee-related compensation(1)   61,306       31,093       74,341       (75,157 )
    Total compensation and benefits   340,446       214,876       1,264,295       372,543  
    General, administrative and other   43,152       54,310       177,354       167,317  
    Total expenses   383,598       269,186       1,441,649       539,860  
    Other income (expense)              
    Investment income   9,386       3,337       15,096       7,452  
    Legacy Greenspring investment income (loss)(1)   2,934       (33 )     (1,185 )     (9,087 )
    Investment income of Consolidated Funds   34,496       6,115       65,374       28,472  
    Interest income   3,218       1,429       10,850       3,664  
    Interest expense   (3,191 )     (2,649 )     (12,701 )     (9,331 )
    Other income (loss)   (31,024 )     (1,308 )     (32,650 )     2,455  
    Total other income   15,819       6,891       44,784       23,625  
    Income (loss) before income tax   9,950       94,515       (222,035 )     195,396  
    Income tax expense (benefit)   (3,203 )     11,973       (49,208 )     27,576  
    Net income (loss)   13,153       82,542       (172,827 )     167,820  
    Less: Net income attributable to non-controlling interests in subsidiaries   16,316       4,443       79,282       37,240  
    Less: Net income (loss) attributable to non-controlling interests in legacy Greenspring entities(1)   2,934       (33 )     (1,185 )     (9,087 )
    Less: Net income (loss) attributable to non-controlling interests in the Partnership   (17,994 )     37,279       (125,850 )     59,956  
    Less: Net income attributable to redeemable non-controlling interests in Consolidated Funds   30,630       4,248       53,731       15,838  
    Less: Net income (loss) attributable to redeemable non-controlling interests in subsidiaries   (225 )     5,782       758       5,782  
    Net income (loss) attributable to StepStone Group Inc. $ (18,508 )   $ 30,823     $ (179,563 )   $ 58,091  
    Net income (loss) per share of Class A common stock:              
    Basic $ (0.24 )   $ 0.48     $ (2.52 )   $ 0.91  
    Diluted $ (0.24 )   $ 0.48     $ (2.52 )   $ 0.91  
    Weighted-average shares of Class A common stock:              
    Basic   75,975,770       64,194,859       71,142,916       63,489,135  
    Diluted   75,975,770       67,281,567       71,142,916       66,544,038  

    (1) Reflects amounts attributable to consolidated VIEs for which the Company did not acquire any direct economic interests.  

    Non-GAAP Financial Measures: Definitions and Reconciliations

    Fee Revenues

    Fee revenues represents management and advisory fees, net, including amounts earned from the Consolidated Funds which are eliminated in consolidation. We believe fee revenues is useful to investors because it presents the net amount of management and advisory fee revenues attributable to us.

    The table below presents the components of fee revenues.

      Three Months Ended   Year Ended March 31,
    (in thousands) March 31,
    2024
    June 30,
    2024
    September
    30, 2024
    December
    31, 2024
    March 31,
    2025
        2024   2025
    Focused commingled funds(1)(2) $ 80,434 $ 104,798 $ 107,855 $ 105,718 $ 124,604   $ 296,667 $ 442,975
    Separately managed accounts   55,945   57,376   61,393   66,245   67,695     223,958   252,709
    Advisory and other services   16,147   14,769   14,907   17,458   19,927     60,057   67,061
    Fund reimbursement revenues(1)   1,282   1,571   1,326   2,411   2,436     5,697   7,744
    Fee revenues $ 153,808 $ 178,514 $ 185,481 $ 191,832 $ 214,662   $ 586,379 $ 770,489

    _______________________________
    (1) Reflects the add-back of management and advisory fee revenues for the Consolidated Funds, which have been eliminated in consolidation.
    (2) Includes income-based incentive fees from certain funds:

      Three Months Ended   Year Ended March 31,
    (in thousands) March 31,
    2024
    June 30,
    2024
    September
    30, 2024
    December
    31, 2024
    March 31,
    2025
        2024   2025
    Income-based incentive fees $ 753 $ 1,113 $ 1,347 $ 2,120 $ 3,377   $ 1,372 $ 7,956


    Adjusted Revenues

    Adjusted revenues represents the components of revenues used in the determination of ANI and comprise fee revenues, adjusted incentive fees and realized carried interest allocations. We believe adjusted revenues is useful to investors because it presents a measure of realized revenues.

    The table below shows a reconciliation of revenues to adjusted revenues.

      Three Months Ended   Year Ended March 31,
    (in thousands) March 31,
    2024
    June 30,
    2024
    September
    30, 2024
    December
    31, 2024
    March
    31, 2025
        2024     2025  
    Total revenues $ 356,810   $ 186,401 $ 271,677   $ 339,023   $ 377,729     $ 711,631   $ 1,174,830  
    Unrealized carried interest allocations   (151,757 )   25,170   (52,215 )   (93,325 )   (21,177 )     (126,908 )   (141,547 )
    Deferred incentive fees   1,450     6   2,445         (513 )     2,392     1,938  
    Legacy Greenspring carried interest allocations   (31,093 )   9,089   (13,917 )   (8,207 )   (61,306 )     75,157     (74,341 )
    Management and advisory fee revenues for the Consolidated Funds(1)   398     499   723     992     1,261       1,239     3,475  
    Incentive fees for the Consolidated Funds(2)   1,549       75     5,422     (133 )     1,549     5,364  
    Adjusted revenues $ 177,357   $ 221,165 $ 208,788   $ 243,905   $ 295,861     $ 665,060   $ 969,719  

    _______________________________
    (1) Reflects the add-back of management and advisory fee revenues for the Consolidated Funds, which have been eliminated in consolidation.
    (2) Reflects the add back of incentive fees for the Consolidated Funds, which have been eliminated in consolidation.

    Adjusted Net Income

    Adjusted net income, or “ANI,” is a non-GAAP performance measure that we present before the consolidation of StepStone Funds on a pre-tax and after-tax basis used to evaluate profitability. ANI represents the after-tax net realized income attributable to us. ANI does not reflect legacy Greenspring carried interest allocation revenues, legacy Greenspring carried interest-related compensation and legacy Greenspring investment income (loss) as none of the economics are attributable to us. The components of revenues used in the determination of ANI (“adjusted revenues”) comprise fee revenues, adjusted incentive fees and realized carried interest allocations. In addition, ANI excludes: (a) unrealized carried interest allocation revenues and related compensation, (b) unrealized investment income (loss), (c) equity-based compensation for awards granted prior to and in connection with our IPO, profits interests issued by our non-wholly owned subsidiaries, and unrealized mark-to-market changes in the fair value of the profits interests issued in the private wealth subsidiary, (d) amortization of intangibles, (e) net income (loss) attributable to non-controlling interests in our subsidiaries and realized gains attributable to the profits interests issued in the private wealth subsidiary, (f) charges associated with acquisitions and corporate transactions, and (g) certain other items that we believe are not indicative of our core operating performance (as listed in the table below). ANI is fully taxed at our blended statutory rate. We believe ANI and adjusted revenues are useful to investors because they enable investors to evaluate the performance of our business across reporting periods.

    Fee-Related Earnings

    Fee-related earnings, or “FRE,” is a non-GAAP performance measure used to monitor our baseline earnings from recurring management and advisory fees. FRE is a component of ANI and comprises fee revenues less adjusted expenses which are operating expenses other than (a) performance fee-related compensation, (b) equity-based compensation for awards granted prior to and in connection with our IPO, profits interests issued by our non-wholly owned subsidiaries, and unrealized mark-to-market changes in the fair value of the profits interests issued in the private wealth subsidiary, (c) amortization of intangibles, (d) charges associated with acquisitions and corporate transactions, and (e) certain other items that we believe are not indicative of our core operating performance (as listed in the table below). FRE is presented before income taxes. We believe FRE is useful to investors because it provides additional insight into the operating profitability of our business and our ability to cover direct base compensation and operating expenses from total fee revenue.

    The table below shows a reconciliation of GAAP measures to additional non-GAAP measures. We use the non-GAAP measures presented below as components when calculating FRE and ANI (as defined below). We believe these additional non-GAAP measures are useful to investors in evaluating both the baseline earnings from recurring management and advisory fees, which provide additional insight into the operating profitability of our business, and the after-tax net realized income attributable to us, allowing investors to evaluate the performance of our business. These additional non-GAAP measures remove the impact of Consolidated Funds that we are required to consolidate under GAAP, and certain other items that we believe are not indicative of our core operating performance.

      Three Months Ended   Year Ended March 31,
    (in thousands) March 31,
    2024
    June 30,
    2024
    September
    30, 2024
    December
    31, 2024
    March 31,
    2025
        2024     2025  
    GAAP management and advisory fees, net $ 153,410   $ 178,015   $ 184,758   $ 190,840   $ 213,401     $ 585,140   $ 767,014  
    Management and advisory fee revenues for the Consolidated Funds(1)   398     499     723     992     1,261       1,239     3,475  
    Fee revenues $ 153,808   $ 178,514   $ 185,481   $ 191,832   $ 214,662     $ 586,379   $ 770,489  
                     
    GAAP incentive fees $ 2,496   $ 841   $ 3,155   $ 22,369   $ 5,910     $ 25,339   $ 32,275  
    Adjustments(2)   2,999     6     2,520     5,422     (646 )     3,941     7,302  
    Adjusted incentive fees $ 5,495   $ 847   $ 5,675   $ 27,791   $ 5,264     $ 29,280   $ 39,577  
                     
    GAAP cash-based compensation $ 74,411   $ 78,224   $ 82,871   $ 85,203   $ 85,510     $ 292,962   $ 331,808  
    Adjustments(3)   (461 )   (428 )   (285 )   339           (2,140 )   (374 )
    Adjusted cash-based compensation $ 73,950   $ 77,796   $ 82,586   $ 85,542   $ 85,510     $ 290,822   $ 331,434  
                     
    GAAP equity-based compensation $ 13,937   $ 19,179   $ 37,332   $ 486,418   $ 126,197     $ 42,357   $ 669,126  
    Adjustments(4)   (12,210 )   (16,785 )   (34,947 )   (483,958 )   (123,263 )     (36,635 )   (658,953 )
    Adjusted equity-based compensation $ 1,727   $ 2,394   $ 2,385   $ 2,460   $ 2,934     $ 5,722   $ 10,173  
                     
    GAAP general, administrative and other $ 54,310   $ 41,011   $ 50,061   $ 43,130   $ 43,152     $ 167,317   $ 177,354  
    Adjustments(5)   (27,079 )   (14,343 )   (21,900 )   (13,418 )   (11,015 )     (67,275 )   (60,676 )
    Adjusted general, administrative and other $ 27,231   $ 26,668   $ 28,161   $ 29,712   $ 32,137     $ 100,042   $ 116,678  
                     
    GAAP interest income $ 1,429   $ 2,057   $ 3,016   $ 2,559   $ 3,218     $ 3,664   $ 10,850  
    Interest income earned by the Consolidated Funds(6)   (612 )   (907 )   (1,363 )   (887 )   (1,600 )     (1,645 )   (4,757 )
    Adjusted interest income $ 817   $ 1,150   $ 1,653   $ 1,672   $ 1,618     $ 2,019   $ 6,093  
                     
    GAAP other income (loss) $ (1,308 ) $ (351 ) $ 1,177   $ (2,452 ) $ (31,024 )   $ 2,455   $ (32,650 )
    Adjustments(7)   395     (72 )   (1,082 )   1,883     30,606       (3,879 )   31,335  
    Adjusted other income (loss) $ (913 ) $ (423 ) $ 95   $ (569 ) $ (418 )   $ (1,424 ) $ (1,315 )

    ______________________________
    (1) Reflects the add-back of management and advisory fee revenues for the Consolidated Funds, which have been eliminated in consolidation.
    (2) Reflects the add back of incentive fee revenues for the Consolidated Funds, which have been eliminated in consolidation, and deferred incentive fees that are not included in GAAP revenues.
    (3) Reflects the removal of compensation paid to certain employees as part of an acquisition earn-out and unrealized amounts associated with cash-based incentive awards tracked to the performance of a designated investment fund.
    (4) Reflects the removal of equity-based compensation for awards granted prior to and in connection with the IPO, profits interests issued by our non-wholly owned subsidiaries, and unrealized mark-to-market changes in the fair value of the profits interests issued in the private wealth subsidiary.
    (5) Reflects the removal of lease remeasurement adjustments, accelerated depreciation of leasehold improvements for changes in lease terms, amortization of intangibles, transaction-related costs, unrealized mark-to-market changes in fair value for contingent consideration obligation and other non-core operating income and expenses.
    (6) Reflects the removal of interest income earned by the Consolidated Funds.
    (7) Reflects the removal of amounts for Tax Receivable Agreements adjustments recognized as other income (loss), loss associated with payment made in connection with a secondary transaction executed by one of our private wealth funds, gain associated with amounts received as part of negotiations with a third party related to certain corporate matters, loss on sale of subsidiary and the impact of consolidation of the Consolidated Funds.

    The table below shows a reconciliation of income (loss) before income tax to ANI and FRE.

      Three Months Ended   Year Ended March 31,
    (in thousands) March 31,
    2024
    June 30,
    2024
    September
    30, 2024
    December
    31, 2024
    March 31,
    2025
        2024     2025  
    Income (loss) before income tax $ 94,515     54,842   $ 57,888   $ (344,715 ) $ 9,950     $ 195,396   $ (222,035 )
    Net income attributable to non-controlling interests in subsidiaries(1)   (12,822 )   (18,951 )   (17,812 )   (32,765 )   (33,369 )     (49,220 )   (102,897 )
    Net (income) loss attributable to non-controlling interests in legacy Greenspring entities   33     1,255     4,031     (1,167 )   (2,934 )     9,087     1,185  
    Unrealized carried interest allocations   (151,757 )   25,170     (52,215 )   (93,325 )   (21,177 )     (126,908 )   (141,547 )
    Unrealized performance fee-related compensation   84,014     (10,923 )   27,748     49,670     27,777       74,694     94,272  
    Unrealized investment (income) loss   (2,280 )   (1,180 )   (430 )   656     (6,007 )     (907 )   (6,961 )
    Impact of Consolidated Funds   (4,138 )   (7,731 )   (9,267 )   (6,892 )   (35,723 )     (26,076 )   (59,613 )
    Deferred incentive fees   1,450     6     2,445         (513 )     2,392     1,938  
    Equity-based compensation(2)   12,210     16,785     34,947     483,958     123,263       36,635     658,953  
    Amortization of intangibles   10,423     10,250     10,250     10,250     10,250       42,406     41,000  
    Tax Receivable Agreements adjustments through earnings   90                 (348 )     312     (348 )
    Non-core items(3)   16,780     4,137     11,349     2,094     32,474       21,565     50,054  
    Pre-tax ANI   48,518     73,660     68,934     67,764     103,643       179,376     314,001  
    Income taxes(4)   (10,802 )   (16,419 )   (15,365 )   (15,105 )   (23,040 )     (39,983 )   (69,929 )
    ANI   37,716     57,241     53,569     52,659     80,603       139,393     244,072  
    Income taxes(4)   10,802     16,419     15,365     15,105     23,040       39,983     69,929  
    Realized carried interest allocations   (18,054 )   (41,804 )   (17,632 )   (24,282 )   (75,935 )     (49,401 )   (159,653 )
    Realized performance fee-related compensation   11,421     20,848     8,767     25,477     39,656       37,687     94,748  
    Realized investment income   (1,057 )   (1,415 )   (1,621 )   (1,720 )   (3,379 )     (6,545 )   (8,135 )
    Adjusted incentive fees(5)   (5,495 )   (847 )   (5,675 )   (27,791 )   (5,264 )     (29,280 )   (39,577 )
    Adjusted interest income(5)   (817 )   (1,150 )   (1,653 )   (1,672 )   (1,618 )     (2,019 )   (6,093 )
    Interest expense   2,649     2,990     3,512     3,008     3,191       9,331     12,701  
    Adjusted other (income) loss(5)(6)   913     423     (95 )   569     418       1,424     1,315  
    Net income attributable to non-controlling interests in subsidiaries(1)   12,822     18,951     17,812     32,765     33,369       49,220     102,897  
    FRE $ 50,900   $ 71,656   $ 72,349   $ 74,118   $ 94,081     $ 189,793   $ 312,204  

    _______________________________
    (1) Reflects the portion of pre-tax ANI attributable to non-controlling interests in our subsidiaries and realized gains attributable to the profits interests issued in the private wealth subsidiary:

      Three Months Ended   Year Ended March 31,
    (in thousands) March 31,
    2024
    June 30,
    2024
    September
    30, 2024
    December
    31, 2024
    March 31,
    2025
        2024   2025
    FRE attributable to non-controlling interests in subsidiaries and profits interests $ 11,559 $ 13,308 $ 14,969 $ 21,063 $ 30,451   $ 42,074 $ 79,791
    Performance related earnings / other income (loss) attributable to non-controlling interests in subsidiaries and profits interests   1,263   5,643   2,843   11,702   2,918     7,146   23,106
    Net income attributable to non-controlling interests in subsidiaries and profits interests $ 12,822 $ 18,951 $ 17,812 $ 32,765 $ 33,369   $ 49,220 $ 102,897

    The contribution to pre-tax ANI attributable to non-controlling interests in subsidiaries and profits interests and performance related earnings / other income (loss) attributable to non-controlling interests in subsidiaries and profits interests presented above specifically related to the profits interests issued in the private wealth subsidiary is presented below.

      Three Months Ended   Year Ended March 31,
    (in thousands) March 31,
    2024
    June 30,
    2024
    September
    30, 2024
    December
    31, 2024
    March 31,
    2025
        2024   2025
    FRE attributable to profits interests issued in the private wealth subsidiary $ $ 574 $ 2,051 $ 2,956 $ 6,399     $ $ 11,980
    Performance related earnings / other income (loss) attributable to profits interests issued in the private wealth subsidiary     51   206   11,137   (224 )     3,074   11,170
    Net income attributable to profits interests issued in the private wealth subsidiary $ $ 625 $ 2,257 $ 14,093 $ 6,175     $ 3,074 $ 23,150

    The contribution to pre-tax ANI attributable to non-controlling interests in subsidiaries and performance related earnings / other income (loss) attributable to non-controlling interests in subsidiaries presented above specifically not attributable to the profits interests issued in the private wealth subsidiary is presented below.

      Three Months Ended   Year Ended March 31,
    (in thousands) March 31,
    2024
    June 30,
    2024
    September
    30, 2024
    December
    31, 2024
    March 31,
    2025
        2024   2025
    FRE attributable to non-controlling interests in subsidiaries $ 11,559 $ 12,734 $ 12,918 $ 18,107 $ 24,052   $ 42,074 $ 67,811
    Performance related earnings / other income (loss) attributable to non-controlling interests in subsidiaries   1,263   5,592   2,637   565   3,142     4,072   11,936
    Net income attributable to non-controlling interests in subsidiaries $ 12,822 $ 18,326 $ 15,555 $ 18,672 $ 27,194   $ 46,146 $ 79,747

    (2) Reflects equity-based compensation for awards granted prior to and in connection with the IPO, profits interests issued by our non-wholly owned subsidiaries, and unrealized mark-to-market changes in the fair value of the profits interests issued in the private wealth subsidiary.
    (3) Includes (income) expense related to the following non-core operating income and expenses:

      Three Months Ended   Year Ended March 31,
    (in thousands) March 31,
    2024
    June 30,
    2024
    September
    30, 2024
    December
    31, 2024
    March 31,
    2025
        2024     2025
    Transaction costs $ 3,985 $ 672 $ 140 $ 12   $ 179     $ 4,855   $ 1,003
    Lease remeasurement adjustments                   (106 )  
    Accelerated depreciation of leasehold improvements for changes in lease terms                   1,893    
    (Gain) loss on change in fair value for contingent consideration obligation   12,280   2,953   10,888   2,476     (205 )     17,217     16,112
    Compensation paid to certain employees as part of an acquisition earn-out   515   482   321   (394 )         2,194     409
    Loss on payment made in connection with private wealth fund secondary transaction             32,500           32,500
    Gain from negotiation of certain corporate matters                   (5,300 )  
    Loss on sale of subsidiary                   812    
    Other non-core items     30                   30
    Total non-core operating income and expenses $ 16,780 $ 4,137 $ 11,349 $ 2,094   $ 32,474     $ 21,565   $ 50,054

    (4) Represents corporate income taxes at a blended statutory rate applied to pre-tax ANI:

      Three Months Ended   Year Ended March 31,
      March 31,
    2024
    June 30,
    2024
    September
    30, 2024
    December
    31, 2024
    March 31,
    2025
      2024   2025  
    Federal statutory rate 21.0% 21.0% 21.0% 21.0% 21.0%   21.0%   21.0%  
    Combined state, local and foreign rate 1.3% 1.3% 1.3% 1.3% 1.2%   1.3%   1.3%  
    Blended statutory rate 22.3% 22.3% 22.3% 22.3% 22.2%   22.3%   22.3%  

    (5) Excludes the impact of consolidating the Consolidated Funds and includes deferred incentive fees which are not included in GAAP revenues.
    (6) Excludes amounts for Tax Receivable Agreements adjustments recognized as other income (loss) ($0.3 million for the three months ended March 31, 2025, $(0.1) million for the three months ended March 31, 2024, and $0.3 million and $(0.3) million in fiscal 2025 and fiscal 2024, respectively), loss associated with payment made in connection with a secondary transaction executed by one of our private wealth funds ($32.5 million for the three months ended March 31, 2025 and in fiscal 2025), gain associated with amounts received as part of negotiations with a third party related to certain corporate matters ($5.3 million in fiscal 2024), and loss on sale of subsidiary ($0.8 million in fiscal 2024).

    Fee-Related Earnings Margin

    FRE margin is a non-GAAP performance measure which is calculated by dividing FRE by fee revenues. We believe FRE margin is an important measure of profitability on revenues that are largely recurring by nature. We believe FRE margin is useful to investors because it enables them to better evaluate the operating profitability of our business across periods.

    The table below shows a reconciliation of FRE to FRE margin.

      Three Months Ended   Year Ended March 31,
    (in thousands) March 31,
    2024
    June 30,
    2024
    September
    30, 2024
    December
    31, 2024
    March 31,
    2025
        2024     2025  
    FRE $ 50,900   $ 71,656   $ 72,349   $ 74,118   $ 94,081     $ 189,793   $ 312,204  
    Fee revenues   153,808     178,514     185,481     191,832     214,662       586,379     770,489  
    FRE margin   33 %   40 %   39 %   39 %   44 %     32 %   41 %


    Gross Realized Performance Fees

    Gross realized performance fees represents realized carried interest allocations and adjusted incentive fees. We believe gross realized performance fees is useful to investors because it presents the total performance fees realized by us.

    Performance Fee-Related Earnings

    Performance fee-related earnings, or “PRE,” represents gross realized performance fees less realized performance fee-related compensation. We believe PRE is useful to investors because it presents the performance fees attributable to us, net of amounts paid to employees as performance fee-related compensation.

    The table below shows a reconciliation of total performance fees to gross realized performance fees and PRE.

      Three Months Ended   Year Ended March 31,
    (in thousands) March 31,
    2024
    June 30,
    2024
    September
    30, 2024
    December
    31, 2024
    March 31,
    2025
        2024     2025  
    Incentive fees $ 2,496   $ 841   $ 3,155   $ 22,369   $ 5,910     $ 25,339   $ 32,275  
    Realized carried interest allocations   18,054     41,804     17,632     24,282     75,935       49,401     159,653  
    Unrealized carried interest allocations   151,757     (25,170 )   52,215     93,325     21,177       126,908     141,547  
    Legacy Greenspring carried interest allocations   31,093     (9,089 )   13,917     8,207     61,306       (75,157 )   74,341  
    Total performance fees   203,400     8,386     86,919     148,183     164,328       126,491     407,816  
    Unrealized carried interest allocations   (151,757 )   25,170     (52,215 )   (93,325 )   (21,177 )     (126,908 )   (141,547 )
    Legacy Greenspring carried interest allocations   (31,093 )   9,089     (13,917 )   (8,207 )   (61,306 )     75,157     (74,341 )
    Incentive fee revenues for the Consolidated Funds(1)   1,549         75     5,422     (133 )     1,549     5,364  
    Deferred incentive fees   1,450     6     2,445         (513 )     2,392     1,938  
    Gross realized performance fees   23,549     42,651     23,307     52,073     81,199       78,681     199,230  
    Realized performance fee-related compensation   (11,421 )   (20,848 )   (8,767 )   (25,477 )   (39,656 )     (37,687 )   (94,748 )
    PRE $ 12,128   $ 21,803   $ 14,540   $ 26,596   $ 41,543     $ 40,994   $ 104,482  

    _______________________________
    (1) Reflects the add back of incentive fee revenues for the Consolidated Funds, which have been eliminated in consolidation.

    Adjusted Weighted-Average Shares and Adjusted Net Income Per Share

    ANI per share measures our per-share earnings assuming all Class B units, Class C units and Class D units in the Partnership were exchanged for Class A common stock in SSG, including the dilutive impact of outstanding equity-based awards. ANI per share is calculated as ANI divided by adjusted weighted-average shares outstanding. We believe adjusted weighted-average shares and ANI per share are useful to investors because they enable investors to better evaluate per-share operating performance across reporting periods.

    The following table shows a reconciliation of diluted weighted-average shares of Class A common stock outstanding to adjusted weighted-average shares outstanding used in the computation of ANI per share.

      Three Months Ended   Year Ended March 31,
      March 31,
    2024
    June 30,
    2024
    September
    30, 2024
    December
    31, 2024
    March 31,
    2025
        2024   2025
    ANI $ 37,716 $ 57,241 $ 53,569 $ 52,659 $ 80,603   $ 139,393 $ 244,072
                     
    Weighted-average shares of Class A common stock outstanding – Basic   64,194,859   66,187,754   68,772,051   73,687,289   75,975,770     63,489,135   71,142,916
    Assumed vesting of RSUs   512,946   673,854   921,166   491,014   270,492     512,152   590,645
    Assumed vesting and exchange of Class B2 units   2,573,762   1,732,153           2,542,751   431,851
    Assumed purchase under ESPP       2,098           529
    Exchange of Class B units in the Partnership(1)   46,272,227   45,827,707   45,212,921   41,729,937   40,122,028     46,356,244   43,233,005
    Exchange of Class C units in the Partnership(1)   1,958,507   1,849,846   1,626,812   1,016,737   965,761     2,234,191   1,365,647
    Exchange of Class D units in the Partnership(1)     2,239,185   2,239,185   2,010,202   1,535,060       2,007,849
    Adjusted weighted-average shares   115,512,301   118,510,499   118,774,233   118,935,179   118,869,111     115,134,473   118,772,442
                     
    ANI per share $ 0.33 $ 0.48 $ 0.45 $ 0.44 $ 0.68   $ 1.21 $ 2.05

    _______________________________
    (1)   Assumes the full exchange of Class B units, Class C units or Class D units in the Partnership for Class A common stock of SSG pursuant to the Class B Exchange Agreement, Class C Exchange Agreement or Class D Exchange Agreement, respectively.

    Key Operating Metrics

    We monitor certain operating metrics that are either common to the asset management industry or that we believe provide important data regarding our business. Refer to the Glossary below for a definition of each of these metrics.

    Fee-Earning AUM

      Three Months Ended   Year Ended March 31,   Percentage
    Change
    (in millions) March 31,
    2024
    June 30,
    2024
    September
    30, 2024
    December
    31, 2024
    March 31,
    2025
        2024     2025     vs. FQ4’24
    Separately Managed Accounts                    
    Beginning balance $ 56,660   $ 58,897   $ 60,272   $ 62,121   $ 69,974     $ 55,345   $ 58,897     23%
    Contributions(1)   2,757     2,085     1,723     9,033     3,874       6,327     16,715     41%
    Distributions(2)   (795 )   (830 )   (535 )   (1,000 )   (1,225 )     (4,080 )   (3,590 )   54%
    Market value, FX and other(3)   275     120     661     (180 )   551       1,305     1,152     100%
    Ending balance $ 58,897   $ 60,272   $ 62,121   $ 69,974   $ 73,174     $ 58,897   $ 73,174     24%
                         
    Focused Commingled Funds                    
    Beginning balance $ 32,772   $ 34,961   $ 40,084   $ 42,294   $ 44,192     $ 30,086   $ 34,961     35%
    Contributions(1)   2,429     5,653     2,122     2,520     3,403       6,115     13,698     40%
    Distributions(2)   (327 )   (661 )   (282 )   (682 )   (313 )     (1,841 )   (1,938 )   (4)%
    Market value, FX and other(3)   87     131     370     60     934       601     1,495     974%
    Ending balance $ 34,961   $ 40,084   $ 42,294   $ 44,192   $ 48,216     $ 34,961   $ 48,216     38%
                         
    Total                    
    Beginning balance $ 89,432   $ 93,858   $ 100,356   $ 104,415   $ 114,166     $ 85,431   $ 93,858     28%
    Contributions(1)   5,186     7,738     3,845     11,553     7,277       12,442     30,413     40%
    Distributions(2)   (1,122 )   (1,491 )   (817 )   (1,682 )   (1,538 )     (5,921 )   (5,528 )   37%
    Market value, FX and other(3)   362     251     1,031     (120 )   1,485       1,906     2,647     310%
    Ending balance $ 93,858   $ 100,356   $ 104,415   $ 114,166   $ 121,390     $ 93,858   $ 121,390     29%

    _______________________________
    (1) Contributions consist of new capital commitments that earn fees on committed capital and capital contributions to funds and accounts that earn fees on net invested capital or NAV.
    (2) Distributions consist of returns of capital from funds and accounts that pay fees on net invested capital or NAV and reductions in fee-earning AUM from funds that moved from a committed capital to net invested capital fee basis or from funds and accounts that no longer pay fees.
    (3) Market value, FX and other primarily consist of changes in market value appreciation (depreciation) for funds that pay on NAV and the effect of foreign exchange rate changes on non-U.S. dollar denominated commitments. The three months ended March 31, 2025 and year ended March 31, 2025 include a $0.6 billion secondary transaction within focused commingled funds.    

    Asset Class Summary

      Three Months Ended   Percentage
    Change
    (in millions) March 31,
    2024
    June 30,
    2024
    September
    30, 2024
    December
    31, 2024
    March 31,
    2025
      vs. FQ4’24
    FEAUM              
    Private equity $ 49,869 $ 54,855 $ 57,136 $ 62,811 $ 65,007   30%
    Infrastructure   20,114   20,377   20,986   23,411   23,830   18%
    Private debt   15,477   16,161   16,975   17,882   19,517   26%
    Real estate   8,398   8,963   9,318   10,062   13,036   55%
    Total $ 93,858 $ 100,356 $ 104,415 $ 114,166 $ 121,390   29%
                   
    Separately managed accounts $ 58,897 $ 60,272 $ 62,121 $ 69,974 $ 73,174   24%
    Focused commingled funds   34,961   40,084   42,294   44,192   48,216   38%
    Total $ 93,858 $ 100,356 $ 104,415 $ 114,166 $ 121,390   29%
                   
    AUM(1)              
    Private equity $ 81,942 $ 89,329 $ 91,891 $ 93,404 $ 95,937   17%
    Infrastructure   30,003   32,756   35,392   36,156   37,026   23%
    Private debt   28,491   30,336   31,854   31,987   37,133   30%
    Real estate   16,201   16,912   16,996   17,665   19,284   19%
    Total $ 156,637 $ 169,333 $ 176,133 $ 179,212 $ 189,380   21%
                   
    Separately managed accounts $ 93,938 $ 103,003 $ 107,252 $ 109,305 $ 114,806   22%
    Focused commingled funds   48,545   51,682   53,870   55,142   59,410   22%
    Advisory AUM   14,154   14,648   15,011   14,765   15,164   7%
    Total $ 156,637 $ 169,333 $ 176,133 $ 179,212 $ 189,380   21%
                   
    AUA              
    Private equity $ 270,350 $ 279,909 $ 255,125 $ 263,420 $ 262,884   (3)%
    Infrastructure   60,339   62,599   62,891   67,100   69,027   14%
    Private debt   21,976   22,280   19,328   19,325   19,726   (10)%
    Real estate   168,455   166,659   168,519   168,807   168,047   —%
    Total $ 521,120 $ 531,447 $ 505,863 $ 518,652 $ 519,684   —%
                   
    Total capital responsibility(2) $ 677,757 $ 700,780 $ 681,996 $ 697,864 $ 709,064   5%

    _____________________________
    Note: Amounts may not sum to total due to rounding. AUM/AUA reflects final data for the prior period, adjusted for net new client account activity through the period presented, and does not include post-period investment valuation or cash activity. Net asset value (“NAV”) data for underlying investments is as of the prior period, as reported by underlying managers up to the business day occurring on or after 100 days, or 115 days at the fiscal year-end, following the prior period end. When NAV data is not available by the business day occurring on or after 100 days, or 115 days at the fiscal year-end, following the prior period end, such NAVs are adjusted for cash activity following the last available reported NAV.
    (1) Allocation of AUM by asset class is presented by underlying investment asset classification.
    (2) Total capital responsibility equals assets under management (AUM) plus assets under advisement (AUA).    

    Contacts

    Shareholder Relations:
    Seth Weiss
    shareholders@stepstonegroup.com
    1-212-351-6106

    Media:
    Brian Ruby / Chris Gillick / Matt Lettiero, ICR
    StepStonePR@icrinc.com
    1-203-682-8268

    Glossary

    Assets under advisement, or “AUA,” consists of client assets for which we do not have full discretion to make investment decisions but play a role in advising the client or monitoring their investments. We generally earn revenue for advisory-related services on a contractual fixed fee basis. Advisory-related services include asset allocation, strategic planning, development of investment policies and guidelines, screening and recommending investments, legal negotiations, monitoring and reporting on investments, and investment manager review and due diligence. Advisory fees vary by client based on the scope of services, investment activity and other factors. Most of our advisory fees are fixed, and therefore, increases or decreases in AUA do not necessarily lead to proportionate changes in revenue. We believe AUA is a useful metric for assessing the relative size of our advisory business.

    Our AUA is calculated as the sum of (i) the NAV of client portfolio assets for which we do not have full discretion and (ii) the unfunded commitments of clients to the underlying investments. Our AUA reflects the investment valuations in respect of the underlying investments of our client accounts on a three-month lag, adjusted for new client account activity through the period end. Our AUA does not include post-period investment valuation or cash activity. AUA as of March 31, 2025 reflects final data for the prior period (December 31, 2024), adjusted for net new client account activity through March 31, 2025. NAV data for underlying investments is as of December 31, 2024, as reported by underlying managers up to the business day occurring on or after 115 days following December 31, 2024. When NAV data is not available by the business day occurring on or after 115 days following December 31, 2024, such NAVs are adjusted for cash activity following the last available reported NAV.

    Assets under management, or “AUM,” primarily reflects the assets associated with our separately managed accounts (“SMAs”) and focused commingled funds. We classify assets as AUM if we have full discretion over the investment decisions in an account or have responsibility or custody of assets. Although management fees are based on a variety of factors and are not linearly correlated with AUM, we believe AUM is a useful metric for assessing the relative size and scope of our asset management business.

    Our AUM is calculated as the sum of (i) the net asset value (“NAV”) of client portfolio assets, including the StepStone Funds and (ii) the unfunded commitments of clients to the underlying investments and the StepStone Funds. Our AUM reflects the investment valuations in respect of the underlying investments of our funds and accounts on a three-month lag, adjusted for new client account activity through the period end. Our AUM does not include post-period investment valuation or cash activity. AUM as of March 31, 2025 reflects final data for the prior period (December 31, 2024), adjusted for net new client account activity through March 31, 2025. NAV data for underlying investments is as of December 31, 2024, as reported by underlying managers up to the business day occurring on or after 115 days following December 31, 2024. When NAV data is not available by the business day occurring on or after 115 days following December 31, 2024, such NAVs are adjusted for cash activity following the last available reported NAV.

    Consolidated Funds refer to the StepStone Funds that we are required to consolidate as of the applicable reporting period. We consolidate funds and other entities in which we hold a controlling financial interest.

    Consolidated VIEs refer to the variable interest entities that we are required to consolidate as of the applicable reporting period. We consolidate VIEs in which we hold a controlling financial interest.

    Fee-earning AUM, or “FEAUM,” reflects the assets from which we earn management fee revenue (i.e., fee basis) and includes assets in our SMAs, focused commingled funds and assets held directly by our clients for which we have fiduciary oversight and are paid fees as the manager of the assets. Our SMAs and focused commingled funds typically pay management fees based on capital commitments, net invested capital and, in certain cases, NAV, depending on the fee terms. Management fees are only marginally affected by market appreciation or depreciation because substantially all of the StepStone Funds pay management fees based on capital commitments or net invested capital. As a result, management fees and FEAUM are not materially affected by changes in market value. We believe FEAUM is a useful metric in order to assess assets forming the basis of our management fee revenue.

    Legacy Greenspring entities refers to certain entities for which the Company, indirectly through its subsidiaries, became the sole and/or managing member in connection with the Greenspring acquisition.

    SSG refers solely to StepStone Group Inc., a Delaware corporation, and not to any of its subsidiaries.

    StepStone Funds refer to SMAs and focused commingled funds of the Company, including acquired Greenspring funds, for which the Partnership or one of its subsidiaries acts as both investment adviser and general partner or managing member.

    The Partnership refers solely to StepStone Group LP, a Delaware limited partnership, and not to any of its subsidiaries.

    Total capital responsibility equals AUM plus AUA. AUM includes any accounts for which StepStone Group has full discretion over the investment decisions, has responsibility to arrange or effectuate transactions, or has custody of assets. AUA refers to accounts for which StepStone Group provides advice or consultation but for which the firm does not have discretionary authority, responsibility to arrange or effectuate transactions, or custody of assets.

    Undeployed fee-earning capital represents the amount of capital commitments to StepStone Funds that has not yet been invested or considered active but will generate management fee revenue once invested or activated. We believe undeployed fee-earning capital is a useful metric for measuring the amount of capital that we can put to work in the future and thus earn management fee revenue thereon.

    The MIL Network

  • MIL-OSI: LPL Financial Reports Monthly Activity for April 2025

    Source: GlobeNewswire (MIL-OSI)

    SAN DIEGO, May 22, 2025 (GLOBE NEWSWIRE) — LPL Financial LLC (“LPL Financial”), a wholly owned subsidiary of LPL Financial Holdings Inc. (Nasdaq: LPLA) (the “Company”), today released its monthly activity report for April 2025.

    Total advisory and brokerage assets at the end of April were $1.79 trillion, a decrease of $7.0 billion, or 0.4%, compared to the end of March 2025.

    Total organic net new assets for April were $6.1 billion, translating to a 4.1% annualized growth rate. This included $0.1 billion of assets from Wintrust Investments, LLC and certain private client business at Great Lakes Advisors, LLC (collectively, “Wintrust”) that onboarded in April, and $0.2 billion of assets that off-boarded as part of the previously disclosed planned separation from misaligned large OSJs. Prior to these impacts, organic net new assets were $6.2 billion, translating to a 4.1% annualized growth rate.

    Total client cash balances at the end of April were $51.8 billion, a decrease of $1.3 billion compared to the end of March 2025. Net buying in April was $10.4 billion.

    (End of period $ in billions, unless noted) April March Change April Change
    2025 2025 M/M 2024 Y/Y
    Advisory and Brokerage Assets          
    Advisory assets 978.6 977.4 0.1% 775.5 26.2%
    Brokerage assets 809.4 817.5 (1.0%) 637.5 27.0%
    Total Advisory and Brokerage Assets 1,787.9 1,794.9 (0.4%) 1,413.0 26.5%
               
    Organic Net New Assets          
    Organic net new advisory assets 6.9 12.7 n/m 7.4 n/m
    Organic net new brokerage assets (0.8) 0.5 n/m (0.4) n/m
    Total Organic Net New Assets 6.1 13.1 n/m 7.0 n/m
               
    Acquired Net New Assets          
    Acquired net new advisory assets 0.0 1.8 n/m 0.3 n/m
    Acquired net new brokerage assets 0.0 5.3 n/m 4.8 n/m
    Total Acquired Net New Assets 0.0 7.1 n/m 5.0 n/m
               
    Total Net New Assets          
    Net new advisory assets 6.9 14.5 n/m 7.6 n/m
    Net new brokerage assets (0.8) 5.8 n/m 4.3 n/m
    Total Net New Assets 6.1 20.2 n/m 12.0 n/m
               
    Net brokerage to advisory conversions 1.7 1.9 n/m 1.2 n/m
               
               
               
               
               
               
               
    Client Cash Balances          
    Insured cash account sweep 35.2 36.1 (2.5%) 32.5 8.3%
    Deposit cash account sweep 10.7 10.7 —% 9.1 17.6%
    Total Bank Sweep 45.9 46.8 (1.9%) 41.6 10.3%
    Money market sweep 4.2 4.3 (2.3%) 2.3 82.6%
    Total Client Cash Sweep Held by Third Parties 50.2 51.1 (1.8%) 43.8 14.6%
    Client cash account 1.6 1.9 (15.8%) 1.9 (15.8%)
    Total Client Cash Balances 51.8 53.1 (2.4%) 45.7 13.3%
               
    Net buy (sell) activity 10.4 13.2 n/m 12.3 n/m
    Market Drivers          
    S&P 500 Index (end of period) 5,569 5,612 (0.8%) 5,036 10.6%
    Russell 2000 Index (end of period) 1,964 2,012 (2.4%) 1,974 (0.5%)
    Fed Funds daily effective rate (average bps) 433 433 —% 533 (18.8%)
               

    Note: Totals may not foot due to rounding.

    For additional information regarding these and other LPL Financial business metrics, please refer to the Company’s most recent earnings announcement, which is available in the quarterly results section of investor.lpl.com.

    Contacts

    Investor Relations
    investor.relations@lplfinancial.com

    Media Relations
    media.relations@lplfinancial.com

    About LPL Financial

    LPL Financial Holdings Inc. (Nasdaq: LPLA) is among the fastest growing wealth management firms in the U.S. As a leader in the financial advisor-mediated marketplace, LPL supports over 29,000 financial advisors and the wealth management practices of approximately 1,200 financial institutions, servicing and custodying approximately $1.8 trillion in brokerage and advisory assets on behalf of approximately 7 million Americans. The firm provides a wide range of advisor affiliation models, investment solutions, fintech tools and practice management services, ensuring that advisors and institutions have the flexibility to choose the business model, services, and technology resources they need to run thriving businesses. For further information about LPL, please visit www.lpl.com.

    Securities and advisory services offered through LPL Financial LLC (“LPL Financial”) and LPL Enterprise, LLC (“LPL Enterprise”), both registered investment advisers and broker-dealers. Member FINRA/SIPC.

    Throughout this communication, the terms “financial advisors” and “advisors” are used to refer to registered representatives and/or investment advisor representatives affiliated with LPL Financial or LPL Enterprise.

    We routinely disclose information that may be important to shareholders in the “Investor Relations” or “Press Releases” section of our website.

    The MIL Network

  • MIL-OSI: Rapid7 to Participate in Upcoming Investor Conferences

    Source: GlobeNewswire (MIL-OSI)

    BOSTON, May 22, 2025 (GLOBE NEWSWIRE) — Rapid7, Inc. (NASDAQ: RPD), a leader in extended risk and threat detection, today announced that the company will be attending the following conferences:

    • The William Blair 45th Annual Growth Stock Conference in Chicago, IL. The presentation is scheduled for Tuesday, June 3, 2025 at 1:20 p.m. Central Time.
    • The Stifel 2025 Cross Sector 1×1 Conference in Boston, MA on June 4, 2025.
    • The Mizuho 2025 Technology Conference in New York, NY on June 10, 2025.

    The presentation from the William Blair conference will be webcast live, and replays will be available for a limited time, under the “Events and Presentations” section on the company’s investor relations website at investors.rapid7.com.

    About Rapid7
    Rapid7, Inc. (NASDAQ: RPD) is on a mission to create a safer digital world by making cybersecurity simpler and more accessible. We empower security professionals to manage a modern attack surface through our best-in-class technology, leading-edge research, and broad, strategic expertise. Rapid7’s comprehensive security solutions help more than 11,000 global customers unite cloud risk management and threat detection to reduce attack surfaces and eliminate threats with speed and precision. For more information, visit our website, check out our blog, or follow us on LinkedIn or X.

    Investor Contact:
    Elizabeth Chwalk
    Vice President, Investor Relations
    investors@rapid7.com 
    (617) 865-4277

    Press Contact:
    Alice Randall
    Director, Corporate Communications
    press@rapid7.com 
    (214) 693-4727

    The MIL Network

  • MIL-OSI: PennantPark Floating Rate Capital Ltd.’s Unconsolidated Joint Venture, PennantPark Senior Secured Loan Fund I LLC Completes the Reset of its $315.8 Million Securitization, Lowering the Cost of Financing

    Source: GlobeNewswire (MIL-OSI)

    MIAMI BEACH, Fla., May 22, 2025 (GLOBE NEWSWIRE) — PennantPark Floating Rate Capital Ltd. (the “Company”) (NYSE: PFLT) today announced that PennantPark Senior Secured Loan Fund I LLC (“PSSL”) through PSSL’s wholly-owned and consolidated subsidiary, PennantPark CLO VI, LLC (“CLO VI”) has closed the reset of a four-year reinvestment period, twelve-year final maturity $315.8 million debt securitization.

    The debt issued in this securitization (the “Debt”) is structured in the following manner:

    Class Par Amount
    ($ in millions)
    % of Capital Structure Coupon Expected Rating
    (S&P)
    Issuance Price
    A-R Loans $ 228,000,000 72.2% 3 Mo SOFR + 1.85% A- 100.0%
    B-R Loans   18,000,000 5.7% 3 Mo SOFR + 4.50% BBB- 100.0%
    C-R Loans   18,000,000 5.7% Retained BB- 100.0%
    Sub. Notes   51,800,000 16.4% N/A NR N/A
    Total $ 315,800,000        
                 

    “The reset of this PSSL securitization is a testament to the strength of the Company’s platform, and highlights our ability to execute on a transaction during a period of significant market volatility,” said Arthur Penn, Chief Executive Officer. “The reset of CLO VI is expected to result in a significant reduction in the Company’s and PSSL’s cost of capital. The increases in scale of both the Company’s and PSSL’s balance sheets coupled with efficiencies gained in their long term financing should continue to drive attractive returns on invested capital and enhance the Company’s earnings momentum. Between PFLT and PSSL, there is approximately $850 million of available capital that can be invested in this attractive vintage of core middle market loans. PennantPark currently manages approximately $4.0 billion in middle market assets in securitizations, and we look forward to continued growth with the support of our current and new investors.”

    PSSL will continue to retain the Subordinated Notes and Class C-R Loans through a consolidated subsidiary. The maturity of the replacement Debt and the existing Subordinated Notes is now extended to April 2037. The replacement Debt is expected to be approximately 100% funded at close. In addition, PSSL continues to act as retention holder in the transaction to retain exposure to the performance of the securitized assets. GreensLedge Capital Markets LLC acted as the structurer and sole arranger in connection with this reset transaction.

    The Debt offered as part of this securitization have not been and will not be registered under the Securities Act of 1933, as amended (the “Securities Act”), or any state “blue sky” laws, and may not be offered or sold in the United States absent registration under Section 5 of the Securities Act or an applicable exemption from such registration requirements. The CLO is a form of secured financing incurred and consolidated by PSSL. This press release shall not constitute an offer to sell or a solicitation of an offer to buy nor shall there be any sale of the Debt in any state or jurisdiction in which such offer, solicitation or sale would be unlawful prior to registration or qualification under the securities laws of any such state or jurisdiction.

    ABOUT PENNANTPARK FLOATING RATE CAPITAL LTD.

    PennantPark Floating Rate Capital Ltd. is a business development company which primarily invests in U.S. middle market private companies in the form of floating rate senior secured loans, including first lien secured debt, second lien secured debt and subordinated debt. From time to time, the Company may also invest in equity investments. PennantPark Floating Rate Capital Ltd. is managed by PennantPark Investment Advisers, LLC.

    ABOUT PENNANTPARK SENIOR SECURED LOAN FUND I LLC

    PennantPark Senior Secured Loan Fund I LLC, is a joint venture between PennantPark Floating Rate Capital Ltd. and a subsidiary of Kemper Corporation (NYSE: KMPR), Trinity Universal Insurance Company, and primarily invests in U.S. middle market companies whose debt is rated below investment grade.

    ABOUT PENNANTPARK INVESTMENT ADVISERS, LLC

    PennantPark Investment Advisers, LLC (“PennantPark”) is a leading middle market credit platform, managing approximately $10.0 billion of investable capital, including available leverage. Since its inception in 2007, PennantPark has provided investors access to middle market credit by offering private equity firms and their portfolio companies as well as other middle market borrowers a comprehensive range of creative and flexible financing solutions. PennantPark is headquartered in Miami, and has offices in New York, Chicago, Houston, Los Angeles and Amsterdam.

    FORWARD-LOOKING STATEMENTS

    This press release may contain “forward-looking statements” within the meaning of the Private Securities Litigation Reform Act of 1995. You should understand that under Section 27A(b)(2)(B) of the Securities Act and Section 21E(b)(2)(B) of the Securities Exchange Act of 1934, as amended (the “Exchange Act”), the “safe harbor” provisions of the Private Securities Litigation Reform Act of 1995 do not apply to forward-looking statements made in periodic reports PennantPark Floating Rate Capital Ltd. files under the Exchange Act. All statements other than statements of historical facts included in this press release are forward-looking statements and are not guarantees of future performance or results and involve a number of risks and uncertainties. Actual results may differ materially from those in the forward-looking statements as a result of a number of factors, including those described from time to time in filings with the Securities and Exchange Commission. PennantPark Floating Rate Capital Ltd. undertakes no duty to update any forward-looking statement made herein. You should not place undue influence on such forward-looking statements as such statements speak only as of the date on which they are made.

    CONTACT:
    Richard T. Allorto, Jr.
    PennantPark Floating Rate Capital Ltd.
    (212) 905-1000
    www.pennantpark.com

    The MIL Network