Treasury Wants Data From ‘Private Credit.’ The Awkward Reason It’s So Hard to Answer One Simple Question: Who Eats the Losses When Deals Go Bad?
In private credit, “the lender” isn’t always the loss-bearer. Risk gets financed, sliced, and quietly relocated—often onto balance sheets regulators can’t map in real time.
By TheMurrow Editorial
April 16, 2026
Key Points
- 1Track the plumbing, not the labels: private credit risk migrates via leverage, swaps, and tranches—often away from the paper “lender.”
- 2Follow the financing chain: subscription lines, NAV facilities, repo, and warehouses can shift losses onto banks, insurers, BDC creditors, and households.
- 3Expect tighter oversight: FSOC flagged private credit growth, while OFR’s 2026 work targets hidden counterparty exposures and fragmented datasets.
A regulator walks into a room full of credit investors and asks a question that sounds almost naïve: when the loans go bad, who actually takes the loss?
In the age of private credit, that question is no longer a matter of reading the loan document and pointing to the “lender.” The paper owner of a loan can be a fund vehicle. The economic risk can be sliced across leverage facilities, derivatives, and securitized tranches. And the final loss can show up—quietly—on the balance sheet of a bank, an insurer, a pension, or a retail-facing wrapper.
Why Treasury is pressing for clarity
The U.S. Treasury’s Financial Stability Oversight Council (FSOC) has been candid about why it’s pressing for clarity. FSOC has explicitly flagged the “growth in private credit” as an area where it wants better monitoring and data collection—not because private credit is inherently toxic, but because the system’s ability to absorb stress depends on knowing where the stress will land. Meanwhile, Treasury’s Office of Financial Research (OFR) has been framing private credit as a potential vulnerability channel inside a debt market that looks calm on the surface.
The public debate often drifts toward easy binaries—banks versus nonbanks, “shadow” versus “safe.” The more useful frame is plumbing. Credit risk doesn’t vanish when a bank stops holding a loan. It migrates, it gets financed, and it gets re-labeled. Treasury’s problem is that the labels don’t always match the reality.
The public debate often drifts toward easy binaries—banks versus nonbanks, “shadow” versus “safe.” The more useful frame is plumbing. Credit risk doesn’t vanish when a bank stops holding a loan. It migrates, it gets financed, and it gets re-labeled. Treasury’s problem is that the labels don’t always match the reality.
“The question regulators keep asking isn’t ‘Is private credit risky?’ It’s ‘Where does the risk go when things break?’”
— — TheMurrow
The “simple question” Treasury can’t answer—yet
Regulators have a clear systemic-risk lens: credit losses matter most when they force the wrong institutions to sell assets, cut lending, or scramble for liquidity. FSOC’s request for better private-credit monitoring is rooted in that logic. If the market’s footprint grows faster than regulators’ visibility, shocks become harder to contain.
OFR has echoed the concern in public materials, describing private credit as part of the network of nonbank finance interconnections that can transmit stress even during “calm” markets. The worry isn’t a morality tale about lenders operating outside banks. It’s a mapping problem: identifying who bears losses, and whether those loss-bearers can fund themselves in a downturn without spreading distress.
OFR has echoed the concern in public materials, describing private credit as part of the network of nonbank finance interconnections that can transmit stress even during “calm” markets. The worry isn’t a morality tale about lenders operating outside banks. It’s a mapping problem: identifying who bears losses, and whether those loss-bearers can fund themselves in a downturn without spreading distress.
Why “who eats the losses” is hard to trace
At first glance, the answer seems straightforward: a private credit fund holds a loan; the borrower defaults; the fund’s investors lose money. That clean chain is increasingly rare.
In practice, exposures can be layered through:
- Fund-level leverage (borrowings that amplify investor losses and add creditors to the stack)
- Subscription lines (short-term borrowing secured by investor capital commitments)
- Repo/secured financing against loan portfolios
- Total return swaps and other derivatives that shift economic exposure
- Warehouse lines that finance loans before they’re sold into longer-term vehicles
- NAV facilities that lend against fund portfolios rather than investor commitments
OFR has been explicit about how hard it is to connect the dots. In a 2026 research brief on measuring counterparty exposures to private credit, OFR highlights practical obstacles: identifying the obligor, capturing counterparty linkages, and reconciling exposures across separate datasets and reporting regimes.
In practice, exposures can be layered through:
- Fund-level leverage (borrowings that amplify investor losses and add creditors to the stack)
- Subscription lines (short-term borrowing secured by investor capital commitments)
- Repo/secured financing against loan portfolios
- Total return swaps and other derivatives that shift economic exposure
- Warehouse lines that finance loans before they’re sold into longer-term vehicles
- NAV facilities that lend against fund portfolios rather than investor commitments
OFR has been explicit about how hard it is to connect the dots. In a 2026 research brief on measuring counterparty exposures to private credit, OFR highlights practical obstacles: identifying the obligor, capturing counterparty linkages, and reconciling exposures across separate datasets and reporting regimes.
OFR’s work underscores that the core challenge is “measuring counterparty exposures to private credit,” because linkages are often not visible in any single dataset.
— — Office of Financial Research, 2026 brief
What “private credit” means—and why definitions drive the data
Private credit is commonly described as non-bank lending, often direct loans to middle-market companies, frequently backed by private equity sponsors, and not traded on public exchanges. That’s a useful starting point, but it’s not a sufficiently tight definition for surveillance.
Regulators and market participants frequently talk past each other because “private credit” can refer to different sets of lenders and vehicles. For data purposes, the definition determines what you can measure—and what remains invisible.
Regulators and market participants frequently talk past each other because “private credit” can refer to different sets of lenders and vehicles. For data purposes, the definition determines what you can measure—and what remains invisible.
Private funds data: powerful, but not universal
The most prominent U.S. reporting regime for private funds is Form PF, a confidential filing used by certain SEC-registered investment advisers. The SEC itself describes Form PF as part of its private-fund statistical framework, but it only applies to advisers that meet registration and reporting thresholds. In plain terms, Form PF captures a wide universe—but not the whole ecosystem.
Important gaps can include:
- Certain insurance balance-sheet lending strategies
- Some specialty finance lenders or structures
- Some securitization vehicles that don’t sit neatly inside the private-fund bucket
- Some bank-affiliated lending arrangements where economic exposure may be shared
The result is uncomfortable: regulators may have detailed visibility into parts of the market that file, and weak visibility into parts that don’t—exactly the kind of asymmetry that makes crisis response messy.
Important gaps can include:
- Certain insurance balance-sheet lending strategies
- Some specialty finance lenders or structures
- Some securitization vehicles that don’t sit neatly inside the private-fund bucket
- Some bank-affiliated lending arrangements where economic exposure may be shared
The result is uncomfortable: regulators may have detailed visibility into parts of the market that file, and weak visibility into parts that don’t—exactly the kind of asymmetry that makes crisis response messy.
Rating and index data: visible cohorts, selective coverage
Market data providers can track segments of private credit, but those datasets often reflect monitored cohorts—by borrower type, rating methodology, or stress definitions. Default statistics can diverge simply because “default” and “distress” are not consistently measured, especially in a market where amendments can postpone a formal default event.
“Private credit doesn’t suffer from a lack of risk. It suffers from a lack of shared vocabulary.”
— — TheMurrow
Where losses can land: the private credit loss waterfall
If regulators want to answer “who eats the losses,” they need a working map of the loss waterfall across common structures. The key insight is that legal ownership of a loan and economic exposure to that loan can diverge.
Fund investors: the obvious answer—until leverage appears
In the simplest structure—an unlevered closed-end private credit fund holding loans—losses primarily hit the fund’s investors: pensions, endowments, insurers, sovereign wealth funds, and family offices. That is the intuitive model most people carry.
Leverage complicates it. When funds borrow at the fund level, the capital structure begins to resemble a small bank: creditors have senior claims, and investors become the first-loss layer. That can increase the severity of investor losses and create additional channels for stress if lenders pull back or demand collateral.
Leverage complicates it. When funds borrow at the fund level, the capital structure begins to resemble a small bank: creditors have senior claims, and investors become the first-loss layer. That can increase the severity of investor losses and create additional channels for stress if lenders pull back or demand collateral.
Banks: not “owning” the loan, still exposed
Banks can have significant exposure without holding the underlying loans on their balance sheets. Common channels include:
- Credit facilities to private credit funds or BDCs (including portfolio-secured lines and NAV facilities)
- Warehouse lines to originators that are building a pipeline of loans for later sale
- Prime brokerage and financing for credit hedge funds or structured vehicles
OFR’s research agenda is directly aimed at these linkages—the possibility that banks are connected to private credit through financing and counterparty relationships that are harder to measure than a traditional loan book.
- Credit facilities to private credit funds or BDCs (including portfolio-secured lines and NAV facilities)
- Warehouse lines to originators that are building a pipeline of loans for later sale
- Prime brokerage and financing for credit hedge funds or structured vehicles
OFR’s research agenda is directly aimed at these linkages—the possibility that banks are connected to private credit through financing and counterparty relationships that are harder to measure than a traditional loan book.
BDCs and retail-facing wrappers: losses can reach households
Business Development Companies (BDCs) occupy a special place in the ecosystem because they are large providers of middle-market direct lending, often with public listings and retail ownership. A BDC can borrow through bank credit lines and issue bonds, meaning a credit event can transmit beyond shareholders to the BDC’s creditors.
For readers, the practical point is exposure pathway: private credit is not purely “institutional.” It can reach retail portfolios indirectly through listed vehicles, fund-of-fund products, or other public wrappers that hold—or finance—private credit risk.
For readers, the practical point is exposure pathway: private credit is not purely “institutional.” It can reach retail portfolios indirectly through listed vehicles, fund-of-fund products, or other public wrappers that hold—or finance—private credit risk.
The quiet amplifier: leverage and counterparty exposure
Private credit’s political selling point has often been that it is “outside the banking system.” Regulators are less interested in the slogan than the actual leverage chain.
Leverage and financing arrangements can transform a contained credit loss into a broader funding problem. A fund facing credit deterioration might also face tightening collateral terms, refinancing risk, or margin dynamics. None of those outcomes requires a bank to “own” the loans; it only requires the bank to be a lender, swap counterparty, or financing provider.
Leverage and financing arrangements can transform a contained credit loss into a broader funding problem. A fund facing credit deterioration might also face tightening collateral terms, refinancing risk, or margin dynamics. None of those outcomes requires a bank to “own” the loans; it only requires the bank to be a lender, swap counterparty, or financing provider.
What OFR is trying to measure
OFR’s 2026 brief on counterparty exposures to private credit reads like a list of reasons traditional supervision struggles here: obligors can be hard to identify consistently; exposures can be recorded under different names and entities; and linkages can be scattered across datasets that were not designed to speak to each other.
That’s not a minor technical nuisance. It’s the difference between knowing that losses will be absorbed by long-term capital and discovering—too late—that losses will trigger short-term funding stress.
That’s not a minor technical nuisance. It’s the difference between knowing that losses will be absorbed by long-term capital and discovering—too late—that losses will trigger short-term funding stress.
“In private credit, the loan is only the first layer of the story. The financing is the second—and that’s where contagion can start.”
— — TheMurrow
Key statistics readers should keep in mind
The public record offers several measurable, concrete facts about the current state of oversight—even when detailed exposure numbers remain confidential:
- FSOC has explicitly flagged “growth in private credit” as an area requiring better monitoring and data collection. That is a formal systemic-risk signal from the Treasury-led council.
- OFR published a 2026 brief dedicated to measuring counterparty exposures to private credit—evidence that regulators see data limitations as a central vulnerability, not a side issue.
- Form PF is confidential and threshold-based, meaning significant market activity can sit outside its scope if an adviser or vehicle isn’t captured by the filing regime. (SEC private fund statistics materials)
- Private credit exposures can be layered through multiple common tools—subscription lines, NAV facilities, warehouses, repo, swaps—each adding at least one additional potential loss-bearer beyond the fund investor.
These are not “market size” statistics, and that restraint matters: the most important story in the research record is not a single dollar figure. It’s the structural fact that growth has outpaced visibility.
- FSOC has explicitly flagged “growth in private credit” as an area requiring better monitoring and data collection. That is a formal systemic-risk signal from the Treasury-led council.
- OFR published a 2026 brief dedicated to measuring counterparty exposures to private credit—evidence that regulators see data limitations as a central vulnerability, not a side issue.
- Form PF is confidential and threshold-based, meaning significant market activity can sit outside its scope if an adviser or vehicle isn’t captured by the filing regime. (SEC private fund statistics materials)
- Private credit exposures can be layered through multiple common tools—subscription lines, NAV facilities, warehouses, repo, swaps—each adding at least one additional potential loss-bearer beyond the fund investor.
These are not “market size” statistics, and that restraint matters: the most important story in the research record is not a single dollar figure. It’s the structural fact that growth has outpaced visibility.
“Growth in private credit”
FSOC has explicitly flagged this area for better monitoring and data collection—an official systemic-risk signal from the Treasury-led council.
2026
OFR published a brief focused on measuring counterparty exposures to private credit—treating data limits as a core vulnerability, not a footnote.
Form PF
A key confidential dataset, but threshold-based—meaning meaningful private credit activity can sit outside the filing regime and evade systemic mapping.
Structured holders: CLOs, securitizations, and the tranche question
Not all private credit risk sits in a straightforward fund portfolio. Parts of the market are packaged into CLO-like structures, including middle-market CLOs, where loan cash flows are carved into tranches with different loss-absorption rules.
In a securitized structure, the answer to “who eats the losses?” depends on where you sit:
- Equity tranches absorb losses first
- Mezzanine tranches take losses after equity is wiped
- Senior tranches are last in line, but can still suffer under severe stress
The systemic relevance is distribution. Tranches can be held by different types of institutions—some with stable funding, some with funding that can evaporate. The same underlying borrower distress can therefore produce very different market effects depending on who holds what.
In a securitized structure, the answer to “who eats the losses?” depends on where you sit:
- Equity tranches absorb losses first
- Mezzanine tranches take losses after equity is wiped
- Senior tranches are last in line, but can still suffer under severe stress
The systemic relevance is distribution. Tranches can be held by different types of institutions—some with stable funding, some with funding that can evaporate. The same underlying borrower distress can therefore produce very different market effects depending on who holds what.
Why structured credit complicates supervision
Structured vehicles can also introduce additional counterparties: managers, warehouse lenders, swap counterparties, and liquidity providers. Each relationship can become a transmission belt during volatility.
The point is not that structured credit is inherently dangerous. The point is that it multiplies the number of balance sheets involved, raising the odds that someone in the chain is forced into an unwanted action—selling, hedging, pulling financing—at exactly the wrong time.
The point is not that structured credit is inherently dangerous. The point is that it multiplies the number of balance sheets involved, raising the odds that someone in the chain is forced into an unwanted action—selling, hedging, pulling financing—at exactly the wrong time.
The “hidden loss” problem: amendments, PIK toggles, and delayed recognition
One of the more underappreciated complexities in private credit is that stress often does not announce itself through a clean default. Instead, it emerges through negotiated changes to terms: amend-and-extend arrangements or PIK toggles (paying interest in kind rather than cash).
These tools can be rational for lenders and borrowers. They can preserve enterprise value and avoid fire-sale outcomes. They can also delay the recognition of loss—especially in vehicles that don’t mark to market the way public credit does.
These tools can be rational for lenders and borrowers. They can preserve enterprise value and avoid fire-sale outcomes. They can also delay the recognition of loss—especially in vehicles that don’t mark to market the way public credit does.
Why delayed recognition matters for “who eats it”
If deterioration is masked by stable marks, the distribution of loss becomes a timing question. A leveraged fund might look fine until refinancing comes due. A securitized vehicle might appear stable until overcollateralization triggers flip. A lender might report “performing” status while conceding economics in the fine print.
That dynamic helps explain why different providers can report different “default” or “distress” rates: the market’s preferred tools for managing stress can also blur the statistical record.
For regulators, delayed recognition is not merely an accounting concern. It can create cliff risk—where losses appear suddenly after a period of apparent stability, compressing the time available for orderly adjustments.
That dynamic helps explain why different providers can report different “default” or “distress” rates: the market’s preferred tools for managing stress can also blur the statistical record.
For regulators, delayed recognition is not merely an accounting concern. It can create cliff risk—where losses appear suddenly after a period of apparent stability, compressing the time available for orderly adjustments.
Why the data remains fragmented—and what better visibility could look like
The simplest explanation for Treasury’s difficulty is also the most consequential: the data is fragmented across regulators, and not all actors report in a way that supports systemic mapping.
Form PF is valuable, but it is not universal. Other datasets exist, but they were built for other purposes: investor protection, firm-level supervision, market statistics. Stitching them together requires consistent identifiers for borrowers and counterparties—exactly the kind of infrastructure that financial markets often lack until a crisis forces it.
Form PF is valuable, but it is not universal. Other datasets exist, but they were built for other purposes: investor protection, firm-level supervision, market statistics. Stitching them together requires consistent identifiers for borrowers and counterparties—exactly the kind of infrastructure that financial markets often lack until a crisis forces it.
Multiple perspectives: caution vs. overreach
Industry voices often argue that private credit’s investor base—pensions, endowments, insurers—can be more stable than mark-to-market public credit funds, reducing run risk. They also argue that direct lenders can work constructively with borrowers, improving recoveries.
Regulators’ counterpoint is narrower and harder to dismiss: stability depends on where leverage sits and who provides it. If banks provide substantial financing to the ecosystem, or if leveraged vehicles rely on short-term funding, losses can travel quickly even if the end investors are long-term.
A reasonable middle view is that private credit can be productive and resilient—and still merit better measurement. Transparency is not an accusation; it is infrastructure.
Regulators’ counterpoint is narrower and harder to dismiss: stability depends on where leverage sits and who provides it. If banks provide substantial financing to the ecosystem, or if leveraged vehicles rely on short-term funding, losses can travel quickly even if the end investors are long-term.
A reasonable middle view is that private credit can be productive and resilient—and still merit better measurement. Transparency is not an accusation; it is infrastructure.
Practical takeaways for investors and policy-watchers
For readers allocating to private credit or assessing systemic exposure, a few grounded implications follow from the research record:
- Ask not only what loans a vehicle holds, but how the vehicle is financed (subscription lines, NAV facilities, repo, warehouse dependence).
- Treat “nonbank” labels skeptically. A strategy can be nonbank in origination and still bank-linked in financing.
- Pay attention to wrappers (BDCs, listed vehicles) if your goal is to understand retail exposure pathways.
- Expect continued regulatory focus. FSOC and OFR have publicly signaled that data collection and monitoring will intensify.
- Ask not only what loans a vehicle holds, but how the vehicle is financed (subscription lines, NAV facilities, repo, warehouse dependence).
- Treat “nonbank” labels skeptically. A strategy can be nonbank in origination and still bank-linked in financing.
- Pay attention to wrappers (BDCs, listed vehicles) if your goal is to understand retail exposure pathways.
- Expect continued regulatory focus. FSOC and OFR have publicly signaled that data collection and monitoring will intensify.
Investor questions to ask before allocating
- ✓What loans does the vehicle hold—and what borrower types dominate?
- ✓How is the vehicle financed (subscription lines, NAV facilities, repo, warehouses)?
- ✓Who are the key counterparties (banks, swap dealers, warehouse lenders, liquidity providers)?
- ✓Is exposure reaching retail through wrappers like BDCs or listed vehicles?
- ✓How does the vehicle recognize stress (amend-and-extend, PIK toggles, marking practices)?
Key Insight
Legal ownership and economic exposure can diverge. The hardest supervisory task is tracing where losses ultimately land—and whether that holder can fund itself under stress.
The real story Treasury is telling—without saying it outright
Treasury’s public posture on private credit is careful: more monitoring, better data, sharper maps. That restraint is deliberate. It avoids moral panic while admitting a genuine supervisory gap.
The deeper message is institutional humility. Regulators are acknowledging that the system changed faster than their dashboards did. Private credit’s growth means credit creation is increasingly dispersed across funds, insurers, and structured vehicles. Banks may still be in the picture—just not in the place the public expects.
The next period of oversight will likely be defined less by dramatic crackdowns than by incremental efforts to unify identifiers, reconcile datasets, and trace counterparty exposures. That’s the unglamorous work that prevents policymakers from guessing during a downturn.
The most unsettling possibility is not that private credit loans will suffer losses—credit always does. The unsettling possibility is that, when losses arrive, the public sector still won’t be able to answer a basic question quickly: who, exactly, is absorbing them?
The deeper message is institutional humility. Regulators are acknowledging that the system changed faster than their dashboards did. Private credit’s growth means credit creation is increasingly dispersed across funds, insurers, and structured vehicles. Banks may still be in the picture—just not in the place the public expects.
The next period of oversight will likely be defined less by dramatic crackdowns than by incremental efforts to unify identifiers, reconcile datasets, and trace counterparty exposures. That’s the unglamorous work that prevents policymakers from guessing during a downturn.
The most unsettling possibility is not that private credit loans will suffer losses—credit always does. The unsettling possibility is that, when losses arrive, the public sector still won’t be able to answer a basic question quickly: who, exactly, is absorbing them?
T
About the Author
TheMurrow Editorial is a writer for TheMurrow covering business & money.
Frequently Asked Questions
What is private credit, in plain English?
Private credit generally means loans made outside traditional banks, often through private funds that lend directly to companies—frequently middle-market firms and often private equity–sponsored. These loans aren’t typically traded on public exchanges, so prices and risk can be less transparent than in public bond markets.
Why is FSOC focused on private credit right now?
FSOC has explicitly flagged the growth in private credit as an area needing better monitoring and data collection. The concern is not simply “risk,” but whether regulators can track how distress might spread through financing lines, counterparties, and affiliated vehicles during a downturn.
If banks aren’t making the loans, how can they still be exposed?
Banks can be exposed through credit facilities to funds and BDCs, warehouse lines to originators, and other financing and counterparty relationships. OFR has published work specifically on measuring counterparty exposures because those linkages are harder to see than a traditional bank loan book.
Who usually eats losses in private credit—investors or lenders?
In the cleanest structure—an unlevered fund holding whole loans—investors typically bear the losses. Once leverage enters (fund borrowing, repo, NAV facilities, warehouses), additional parties can be exposed, including banks and bondholders, depending on where they sit in the capital structure.
Why do default numbers and stress indicators vary so much in private credit?
Private credit stress is often managed through amend-and-extend deals and PIK toggles, which can postpone a formal default. That can delay loss recognition and make “default” definitions inconsistent across data providers, especially compared with public-market instruments that reprice continuously.
What role does Form PF play—and what are its limits?
Form PF is a key confidential dataset for certain private fund advisers, but it is threshold-based and applies to specific SEC-registered advisers. That means meaningful segments of private credit activity can exist outside Form PF’s coverage, contributing to fragmented visibility for regulators.
