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On the wire
Markets EdgeWELL POURJuly 4, 20262 min readAd-free

Private credit NAVs drift 5-8% below stated marks as software holdings expose valuationrift

Pattern of write-downs in software debt portfolios surfaces broader questions about risk pricing methodology across the $1.6 trillion asset class.

Markets Edge deskMarkets Edge · Huang GoodmanSource: Forbes ↗
Edgar's SEC data profile {actuarial version}
In plain words

Software debt write-downs at **5-8%** below stated NAV expose valuation lag across **$1.6T** private credit; allocators should audit mark discipline in growth-linked exposures.

5-8%
range on software debt positions over the past six…
4-6x
during underwriting have compressed to
2.5-3.5x
as growth rates decelerated and customer churn accelerated
20%
growth rate can become

Private credit funds are quietly marking down portfolio companies below stated net asset values, with software business holdings emerging as the concentration point. The pattern is not yet systemic, but it is specific enough to warrant attention from allocators who assumed mark-to-model discipline would hold through the cycle.

Several funds have taken write-downs in the 5-8% range on software debt positions over the past six months, according to industry commentary reviewed by capital allocators. The common thread: revenue multiples that held at 4-6x during underwriting have compressed to 2.5-3.5x as growth rates decelerated and customer churn accelerated. The funds in question had used comparable public company multiples at origination, but those comparables have since repriced while the private marks lagged. The delay creates a valuation gap that becomes visible only when liquidity events force reconciliation or when funds preemptively adjust to avoid larger markdowns later.

This matters because software debt was supposed to be the clean trade. Recurring revenue, high margins, low capital intensity. What allocators are discovering is that the durability assumption embedded in those underwriting models did not account for elongated sales cycles, rising customer acquisition costs, or the speed with which a 20% growth rate can become 8% when a business loses two anchor clients. The funds that moved first on markdowns are signaling that the lag between reality and reported NAV has widened enough to require adjustment. The funds that have not yet moved are the ones worth watching.

The broader implication is methodological. Private credit has grown to $1.6 trillion in assets under management by offering yield and stability that public credit cannot match at similar risk levels. But stability depends on accurate pricing, and accurate pricing depends on marks that reflect current enterprise value, not stale comparables or management's optimistic case. When multiple funds begin adjusting marks on the same asset type within a narrow window, it suggests the underlying models are being stress-tested in real time. Software is the visible crack, but the question extends to other sectors where growth assumptions underwrote leverage levels that may no longer be supportable.

Allocators should track quarterly mark adjustments across their private credit exposures, particularly in funds with 20%+ concentration in software or other growth-sensitive sectors. Watch for funds that maintain flat NAVs while public software multiples compress further. The next inflection point will be whether funds begin broadening write-downs to adjacent sectors—tech-enabled services, digital infrastructure, SaaS-adjacent tooling—or whether software proves to be an isolated overhang. Either outcome clarifies the durability of current return assumptions.

The funds adjusting now are pricing in what the market already knows. The ones waiting are betting the gap closes on its own.

Branded by POPS4 · proof in 60 seconds
For the principal

Audit concentration limits in private credit allocations; software exposure above 15% warrants quarterly mark reconciliation against public comparables.

For the operator

Request fund-level detail on software holdings and mark methodology; flat NAVs amid public multiple compression indicate reporting lag worth flagging.

For the house

Huang Goodman is trimming overweight private credit in named accounts with undisclosed software concentration; rotating into direct lending with hard asset collateral.

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Sources and method
  • Primary report: Forbes, July 4, 2026.
  • Written with artificial intelligence from public sources and published without individual human review. Corrections: jenny@pops4.com.
private creditnavsoftware debtvaluationalternative assetscredit risk

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