Blackstone and BlackRock Mark Down Private Credit Funds

Why It Matters

The cuts underscore rising credit risk in software‑linked private credit, pressuring alternative‑asset valuations as AI reshapes business models. Investors may need to reassess exposure to private credit amid heightened default concerns.

Key Takeaways

• Blackstone fund NAV down 2.4% to $26.26 per share
• BlackRock TCP NAV fell 5% to $6.72 per share
• Software borrowers represent ~20‑27% of each fund’s portfolio
• Non‑accrual loans exceed 3% at Blackstone, indicating stress
• Funds kept dividends and buybacks despite valuation cuts

Pulse Analysis

Private credit has become a cornerstone of institutional portfolios, offering higher yields than traditional bonds. Yet the sector’s reliance on corporate borrowers makes it vulnerable to industry‑specific shocks. In early 2024, software companies—once seen as low‑risk growth engines—faced headwinds as AI‑driven competition threatened revenue stability, prompting lenders to reassess loan quality. This macro shift forced asset managers to mark down valuations, reflecting both heightened credit risk and the broader uncertainty surrounding AI’s impact on software business models.

Blackstone’s Secured Lending Fund and BlackRock’s TCP Capital Corp illustrate how top‑tier managers are responding. Both funds reported double‑digit exposure to software borrowers—about 20% for Blackstone and 27% for BlackRock—and recorded NAV declines of 2.4% and 5% respectively. Non‑accrual loans at Blackstone edged above 3%, signaling that a subset of loans are not meeting interest schedules. Despite these pressures, each manager upheld its dividend—77 cents for Blackstone and 17 cents for BlackRock—and continued share‑buyback programs, signaling confidence in long‑term cash flow generation.

The broader private‑credit market is likely to see tighter underwriting standards and more active monitoring of AI‑exposed portfolios. Investors should watch for increased concentration risk, the pace of loan restructurings, and the willingness of managers to inject fresh capital into distressed borrowers like Medallia. As AI reshapes the software landscape, credit quality will become a key differentiator among funds, and those that balance higher yields with disciplined risk management may emerge as the most resilient in a volatile environment.