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Private credit risk: Why credit quality dispersion matters more than default rates

Private credit’s growing appeal masks critical nuances in risk and performance that leaders must evaluate to make more informed decisions.


In brief
  • Private credit faces rising credit risk as credit quality dispersion widens, making “average” metrics unreliable signals of portfolio health.
  • Private credit funds tied to private equity sponsors show conflicts of interest, delaying defaults via amendments and masking real losses.
  • As alternative investments expand into wealth markets, limited transparency and portfolio risk practices increase downside exposure for investors. 

The US private credit market has grown roughly fivefold since the global financial crisis, reaching approximately $1.3 trillion in outstanding private credit as of mid-2024. Including activity outside the U.S., global private credit now approaches $2 trillion, placing the asset class on par with other major corporate credit markets in scale.¹ That is a remarkable run. Yet the industry has spent most of it talking about distribution infrastructure, product wrappers and fundraising. Important topics, all of them. But they are the wrong conversation right now.

The right conversation is about what is actually inside the portfolios being sold to wealth-channel investors through semi-liquid vehicles, interval funds and non-traded business development companies (BDCs). The gap between the best and worst credits sitting under the same private credit umbrella has never been wider, and the incentive structures governing how those credits are managed when they deteriorate have never been more conflicted.

These risks compound. And they are most dangerous when capital is pouring in, competition for deals is fierce, and the people distributing these products to retail investors are building the plane while flying it.

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Chapter 1:

Credit quality dispersion: the data behind the risk

The headline numbers are lying to you

The headline default rate in US private credit stood at 2.46% in Q4 2025, up from 1.76% just two quarters earlier.² That sounds manageable, but in reality it’s not. That 2.46% only counts “formal” defaults — the borrowers who actually missed a payment or filed. Once you include selective defaults, distressed liability management exercises and the amend-and-extend deals that should have been defaults but got papered over, the effective rate is closer to 4%-5%.³ The Federal Reserve Bank of Boston has taken notice, flagging the concentration of credit risk in opaque, illiquid structures as a potential threat to financial system stability.⁴

 

But even the adjusted numbers miss the real story. The problem is not the average. It is the dispersion. Picture two deals, both classified as direct lending and sitting in the same fund. Deal one: senior secured first lien, 4x leverage, software company with 90% revenue retention and strong free cash flow. Deal two: unitranche, 7x leverage, cyclical industrial business with covenant-lite docs and EBITDA adjustments inflating earnings by 25%. Same asset class label. Completely different risk universe. When an advisor looks at the fund-level statistics, both credits are blended into one comfortable average that tells them almost nothing about the downside they or their clients actually own.

 

The EBITDA adjustment shell game

Here is a number that should keep people up at night: EBITDA adjustments now account for roughly 30% of marketed EBITDA on US leveraged transactions, up from about 10% a decade ago.⁵ S&P Global studied 700 M&A and LBO deals and found exactly what you would expect; the bigger the add-backs, the more likely the borrower fails to pay down debt on schedule. Those businesses carried a median of 2.3x more leverage than projected after year one and 2.7x more after year two. In plain English: the leverage ratio you were shown at closing was fiction.

 

Think about what that means for a wealth-channel portfolio holding 50 or 100 of these credits. If the marketed leverage is 5x but the real leverage is running at 6.5x two years in, the entire risk profile of the vehicle is different from what was presented. Not slightly different. Materially different. And the investors relying on those portfolio-level statistics to make allocation decisions have no way to see it.

Covenant erosion and the rise of shadow stress

Covenants used to be the early warning system. They are disappearing. Over 90% of broadly syndicated senior loans now carry no meaningful maintenance covenants. In the private credit market, fewer than 10% of loans above $500 million include them.⁶ Middle market deals still have some teeth with nearly half included two or more covenants through Q3 2025, but the direction is unmistakable.

Without covenants, stress does not trigger defaults. It triggers “amendments.” Borrowers negotiate PIK conversions, turning cash interest into more debt. As of Q1 2025, 11% of investments valued by Lincoln International included PIK interest, and 57.2% of that was “bad PIK,” meaning it was added after origination because the borrower could not pay cash. That is up from 36.7% in Q4 2021.⁷ These are not restructurings. They are not defaults. They are credits quietly deteriorating inside portfolios while the headline statistics report all clear.

Exhibit 1: Key indicators of private credit quality dispersion
MetricCurrentPrior period
Headline private credit default rate2.46% (Q4 2025)1.76% (Q2 2025)
Effective rate incl. LMEs4-5%~2.5% (2023)
EBITDA adjustments as % of marketed EBITDA~30%~10% (2014)
Loans with maintenance covenants (>$500M)<10%~50% (2015)
“Bad PIK” as % of all PIK amendments57.2% (Q1 2025)36.7% (Q4 2021)
Healthcare roll-up interest coverage (KBRA)1.1x (2025)Highest default subsector

Sources: S&P Global Ratings, Lincoln International, Proskauer Rose LLP, KBRA, S&P LCD

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Chapter 2:

The origination dependency problem

When your deal pipeline is your conflict of interest

Here is the question nobody in private credit wants to answer honestly: when your biggest PE shop relationship puts a struggling company in front of you for an amendment, and that same firm represents 15% of your annual deal flow, how hard are you really going to push?

Private credit is a relationship business. Most direct lenders source the majority of their deals through sponsor coverage, which are long-term relationships with PE shops who curate which lenders get invited into their transactions. Over the past five years, PE shops have built sophisticated capital markets teams that maintain preferred lender lists and reward cooperative partners with repeat deal flow. The system works beautifully in good times, with ski trip retreats to Telluride, sporting events and concerts. In bad times, it creates a conflict of interest that sits at the very heart of the asset class.

Even end investors recognize how central origination is to the model. A manager’s ability to consistently source deals, both through sponsor relationships and independent channels, is a key determinant in allocator selection. In surveys of LPs, a majority cite origination capability as one of the most important criteria when underwriting a private credit manager, often ranking it alongside track record and fund economics. That creates a reinforcing loop: the same sponsor relationships that drive portfolio construction also drive fundraising success. 

Managers that stay “in the good graces” of large PE shops are more likely to secure repeat deal flow, deploy capital efficiently and raise larger funds. But in stressed scenarios, that dependency raises an uncomfortable question, whether the priority is maximizing recovery on an existing investment or protecting the relationships that sustain the next fund.

Exhibit 2: LP cited determining factors in selecting a private credit manager


As an illustration, when a PE-backed portfolio company starts missing projections, the private credit manager faces two choices that goes far beyond the economics of that one loan.



The accommodation playbook

The industry has developed an entire toolkit for choosing the second option:

  • Amend-and-extend (most recently Amend-and- “pretend”) rather than accelerate

    When a borrower breaches a covenant or misses a threshold, lenders negotiate amendments that reset covenants, extend maturities or convert cash interest to PIK. The relationship survives and the headline default count stays clean. But the loss has not disappeared; it has been deferred and compounded.

  • Equity “tips” to keep PE shops at the table

    In restructuring negotiations, PE shops routinely receive 2%-10% equity allocations in the reorganized company in exchange for continued cooperation. Think about what that means: the party whose leveraged buyout created the problem is getting paid to help clean it up, with value that belongs to creditors.

  • NAV loans that paper over cracks

    The SEC and European Banking Authority have investigated whether private credit funds use fund-level borrowing to pay distributions or cover interest shortfalls rather than marking assets to realistic values. If that practice is widespread and the regulatory attention suggests it may be, then the NAV that LPs and wealth-channel investors see every quarter is a more optimistic number than the underlying credits support.

Proskauer’s 2025 Private Credit Restructuring Year in Review found that restructurings increasingly gravitate toward out-of-court solutions, with change-of-control transactions becoming the go-to mechanism.⁸ Out-of-court is often the right answer. But when the lender, the PE shop and the workout advisor all have reasons to avoid a messy headline, the question is whether losses are being recognized at the pace the credit fundamentals actually warrant or at the pace that keeps everyone’s track record looking presentable.

The fundraising feedback loop

This is where the incentive structure becomes truly perverse. Private credit managers raise capital on the basis of track record metrics: default rates, loss rates, realized returns. A manager who aggressively marks down troubled credits and forces defaults will report weaker near-term numbers than a competitor who accommodates and extends. In a competitive fundraising environment, the most honest manager gets punished.

Read that again. The manager with the most accurate marks may raise less capital than the manager with the most generous amendments. The system is selecting for accommodation, not accuracy.

This dynamic is especially dangerous as private credit enters wealth channels, where advisors and end investors have less experience distinguishing between a low default rate that reflects excellent underwriting and one that reflects a willingness to paper over problems. The infrastructure to make that distinction — such as granular amendment data, PIK conversion tracking and mark-to-market versus mark-to-model analysis — does not exist at scale on wealth platforms today.

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Chapter 3:

What to do about it

These two dynamics — credit quality dispersion and origination dependency — do not just coexist. They reinforce each other. The weakest credits are precisely the ones most likely to receive accommodative treatment, and the managers most dependent on sponsor relationships are the ones with the strongest incentive to accommodate. For wealth platforms building private credit into client portfolios, this means the conventional due diligence toolkit is not adequate.

Here is what needs to change:


Stop accepting averages. Demand distributions

A portfolio with 5x average leverage that is tightly clustered around that figure is a completely different animal from one with a 5x average driven by a barbell of 3x and 7x credits. Platforms should require managers to report the distribution of leverage multiples, the percentage of credits above 6x, the proportion with maintenance covenants, and the incidence of PIK amendments by type. If a manager will not provide this data, that tells you something.

Interrogate origination channel concentration

What percentage of deal flow comes from the top five sponsor relationships? What does the manager’s amendment history look like relative to the broader market? Managers with diversified origination channels including non-sponsored, direct-to-company lending face structurally fewer conflicts when credits go sideways.

Separate default rates from loss recognition practices

A low default rate is not proof of superior underwriting. It may be proof of superior accommodation. Platforms need to evaluate whether a manager’s loss recognition cadence is consistent with what the underlying portfolio companies actually look like such as revenue trends, margin compression, coverage ratios. If the marks are steady but the businesses are deteriorating, someone is not telling the truth.

Model the accommodation unwind

Every amendment, every PIK conversion, every extended maturity is a bet that the borrower will grow into its capital structure before the music stops. Some of those bets will pay off, but many will not. Wealth platforms should stress-test what happens when 10%-15% of the accommodated credits in their private credit allocation hit a recognition event simultaneously. That is not a tail scenario, but what cycles do.



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Chapter 4:

Conclusion: the question that matters

Private credit deserves its place in portfolios. The asset class fills a real financing gap in the middle market and offers a compelling return profile. Nobody serious is arguing it should not exist. The argument is about whether the industry’s current practices are adequate for what it is becoming.

Because here is what is actually happening: an asset class built on relationships, information asymmetry and discretionary valuation is being packaged into semi-liquid vehicles and distributed to investors who have none of those advantages. The institutional investors who built private credit understood the trade-offs. They had the resources to conduct independent diligence, the leverage to negotiate transparency, and the sophistication to read between the lines of a quarterly report. The wealth-channel investor buying a non-traded BDC through their advisor does not have those tools. They are relying on the system to be honest with them.

And the system, as currently constructed, has powerful incentives to be something less than fully honest. Not because the people in it are dishonest. Most of them are honest hard-working stewards of capital. However, because the current structure with origination dependencies, the fundraising feedback loops, and the absence of standardized reporting; rewards accommodation over transparency and optimism over accuracy.


The firms that will define the next era of private credit are the ones willing to break from that incentive structure:

To report distributional data when the industry norm is averages, to mark aggressively when the fundraising incentive is to mark gently, and to walk away from a sponsor relationship when the credit does not justify the accommodation. Those firms will likely raise less capital in the short term. They will almost certainly outperform over a full cycle.


For wealth platforms, the choice is simpler and more urgent: build the infrastructure to distinguish between these firms and their less rigorous competitors now, while capital is still flowing in and the stakes feel academic. Because when the cycle turns — and it will turn — the difference between a private credit allocation built on genuine underwriting discipline and one built on accommodative track records will not be a few hundred basis points. It will be the difference between a difficult quarter and a portfolio crisis.

The time to ask the hard questions is when nobody is making you ask them.

Following people contributed to this article:

  • Bryan Hui, Executive Director, Strategy and Execution, Ernst & Young LLP.
  • Ash S Verma, Manager, Strategy and Execution, Ernst & Young LLP.

Summary 

Private credit’s rapid growth brings opportunity, but also greater complexity in assessing underlying risk. As structures evolve and incentives shift, leaders must look deeper into portfolio composition, governance and data transparency. A more disciplined approach to evaluating credit quality and manager behavior can help investors better navigate dispersion, align expectations and position portfolios for a changing market environment.

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