Software loans, marked down where nobody trades
This is the first sign in a listed private-credit portfolio that the AI boom is producing credit losers as well as winners, and it arrived as a valuation markdown rather than a default.
Palmer Square Capital BDC's portfolio fell about 3.6% in fair value over the second quarter, from $1.15bn to $1.11bn, even though its non-accruals stayed very low at 0.29% of fair value and 149bp at cost. Management attributed the drop to markdowns in software loans, as software and AI-related borrowers weakened towards quarter-end and, in their words, valuation transparency diminished because there were fewer transactions. That last clause is the whole private-credit question in one sentence. A private loan has no screen price. It is valued by reference to comparable trades, comparable spreads, and the manager's own model. When the comparables dry up, the input that moves the mark is judgement. Here a manager has told investors, on the record, that the observable inputs got thinner and the marks came down anyway. Most managers in that position mark down less, or not at all, and nothing in the accounting compels them to. The second point is the identity of the borrowers. Software companies are the classic private-credit asset: recurring revenue, high margins, no hard collateral, lent against a multiple of EBITDA. They are also the most exposed to AI displacing what they sell. Crash Lab's running argument is that risk has moved into places where losses do not have to be marked; this is a small, specific instance of that risk being marked, in the sector where the AI boom's losers are most likely to appear first. Context: Morningstar puts non-accruals at the top ten BDCs at 3.95% of debt at cost in Q2, up 20bp on the quarter, against the 2.8% median across the twenty largest listed BDCs we covered on Saturday.