Cambridge Associates states the problem precisely: "Because direct lending returns are highly asymmetric and driven largely by loss avoidance and recoveries, weak underwriting or limited workout experience often did not show up in returns."7 For most of the past decade, nearly every direct lender appeared disciplined because nearly every borrower paid. As a result, reported dispersion remained compressed: Cambridge found that the gap between top- and bottom-quartile direct lending managers narrowed to just 0.1x on a multiple basis, which it describes as "understating the true dispersion in underlying portfolio quality."7
That is the central due diligence challenge. The usual quantitative screens do not differentiate managers in this asset class, so the work must go deeper.
Part A: Due diligence before investing
Track record through a cycle
Ask for loss, default, and recovery histories by vintage, including 2020 and 2022-2023. A track record with no defaults is not evidence of skill if the fund has not lent through a downturn; it may only be evidence of youth. Separate realized outcomes from unrealized marks, and ask what the manager's three worst loans were and what it did about each.
The credit box
A credit box is the manager's written definition of what it will and will not lend to: borrower size, leverage ceilings, sectors, structures, and sponsor requirements. Two follow-up questions matter more than the document itself. How often has the manager gone outside the box, and what happened? And how does it treat EBITDA addbacks, the adjustments that raise reported earnings and therefore lower apparent leverage? Addback discipline is one of the clearest differentiators between underwriting cultures.
Concentration warrants specific attention right now. Cambridge Associates reports that direct lenders have approximately 20% exposure to the software sector and that private software loans carry more than an additional full turn of leverage.7 An advisor should know a fund's software exposure before, not after, the next headline about artificial intelligence disrupting enterprise software.
Origination
Where does deal flow come from? Sponsor relationships generate volume and governance but also competition and price-taking. Direct origination to non-sponsored borrowers yields pricing power and more rigorous diligence requirements. Ask what share of deals are proprietary versus broadly marketed, and what share of borrowers are repeat.
Documentation and covenants
Covenant counts, EBITDA definitions, and protections against liability management transactions, the maneuvers by which a distressed borrower moves collateral or subordinates existing lenders. These provisions determine whether a lender's claim is preserved or quietly given away, and they are invisible in any performance table.
Workout capability
When a loan goes bad, the recovery depends on what the manager can do. Does it have an in-house restructuring team? Has it taken control of a borrower before? Credit funds that have never worked out a loan are untested in the only situation where credit skill is measured.
Valuation independence
Covered in detail in Chapter 7. For due diligence purposes: who values the portfolio, what share is independently reviewed, how often, and how the marks compare with other lenders on shared credits.
Fund leverage and liabilities
Leverage policy and current leverage level, asset coverage cushion, secured versus unsecured mix, maturity profile of the fund's own borrowings, and any joint venture or finance company exposure.
Reporting quality
Request a sample quarterly report from a difficult period rather than a recent one. Strong managers disclose non-accruals at both cost and fair value, break out PIK income by origination versus amendment, and candidly discuss amendment activity.
Part B: Monitoring after investing
Due diligence does not end at the wire. Private credit provides advisors with an unusually strong set of leading indicators, most of which are disclosed quarterly in 10-K and 10-Q filings.
Reading the metrics together
No single number tells the story. The pattern to question first is a rising PIK share alongside a declining NAV and an unchanged distribution. Individually, each has an innocent explanation. Together, they describe a fund paying out more than it earns, while an increasing share of what it does earn is not arriving in cash.
Two current data points illustrate the dispersion advisors should expect. Across non-traded BDCs, PIK income averaged 4.6% of investment income in 2025, compared with 8.1% across the twenty largest listed BDCs, a difference largely attributed to non-traded funds being younger. Within the non-traded group, the range ran from 0.8% to 12%. PitchBook LCD's broader series shows PIK at 8.2% of total interest income in the first quarter of 2026, down from 8.6% in the fourth quarter of 2025.21 The sector average is not the number that matters; the specific fund's number and its direction are.
With that caveat established, the current readings: Fitch reported a trailing-twelve-month US private credit default rate of 6.3% in August 2026, based on roughly 1,300 borrowers, a record on its measure, with issuers below $25 million in EBITDA at 12.0%.22 KBRA's Direct Lending Deals index recorded a trailing-twelve-month rate of 2.3% of issuers as of mid-June 2026, with KBRA forecasting roughly 3.5% by year-end.23 Both are accurate measures of different things.
The composition of those defaults is as informative as the level. Fitch's review of 42 default events in the first quarter of 2026 found that 38% involved interest deferrals or the introduction of PIK, and 38% involved maturity extensions amid financial stress.24 Most private credit "defaults" are renegotiations rather than liquidations, which is reassuring and a reason to watch amendment activity closely.
At the vehicle level, KBRA's second-quarter 2026 BDC Ratings Compendium, covering 35 rated BDCs, reported that the median non-accrual investments at non-perpetual-life BDCs rose to 2.75% of total investments at cost, up from 1.81% in the prior quarter. KBRA characterized the shift as a normalization following an extended period of historically benign credit performance, with greater differentiation among borrowers and managers rather than broad-based deterioration.25 Moody's Ratings moved its BDC sector outlook to negative in April 2026, citing rising redemption pressures, higher leverage, and weaker access to funding markets.26
Recoveries
Default frequency accounts for only half of loss. Severity is the other half, and it is where seniority pays for itself. S&P Global LossStats data shows average recoveries of approximately 75% for first-lien term loans, compared with 52% for second-lien, with covenant-lite first-lien loans issued after 2009 recovering 70%, compared with 78% for all first-lien loans.27 An older S&P Global Ratings study of middle-market credits found first-lien term loans recovering 77.7% on a discounted basis, compared with 68.7% for larger firms.28
That historical middle-market advantage should be presented alongside a current caution rather than on its own: KBRA has projected that implied recoveries will decline further, particularly among smaller and mid-sized borrowers.23 The structural case for seniority holds. The assumption that smaller borrowers always recover better does not.