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A software company bought at a 13x EBITDA multiple can see its first-lien LTV jump from 45% to 73% and its equity value wiped out by 85% if its enterprise value multiple simply re-rates down to 8x. This looming valuation crisis threatens many LBOs financed at the market's peak.
The software sector faces a significant, under-the-radar credit risk. Over $330 billion in high-yield and leveraged loan debt is due for repayment by 2028. This looming 'maturity wall' creates a source of potential 'landmines' for investors as software stocks are already beginning to roll over.
Despite fears of AI disruption, private credit software loans have significant downside protection. With loan-to-value ratios around 30-40%, there is a substantial equity cushion. A company's value must erode by nearly 70% before the lender's principal is at risk, highlighting the structural safety of debt versus equity.
An expert warns of a "mini bubble" where private credit funds lent heavily to PE firms buying unprofitable software companies based on high ARR multiples. With falling valuations, AI disruption, and a wall of debt maturing, a wave of defaults and restructurings is imminent.
The greatest systemic threat from the booming private credit market isn't excessive leverage but its heavy concentration in technology companies. A significant drop in tech enterprise value multiples could trigger a widespread event, as tech constitutes roughly half of private credit portfolios.
Unlike public companies, highly leveraged SaaS firms bought by PE face a brutal reckoning. With no growth to pay down debt, they must slash headcount and R&D. This leads to a long, nasty grind of declining quality and market relevance, even if customer inertia keeps them alive for years.
Private market valuations are benchmarked against public multiples. Currently, public SaaS firms with 30% growth trade at 15-20x revenue, twice the historical average. If this 'bedrock price' reverts to its 7-8x mean, it will trigger a cascade of valuation drops across the private markets.
The sectors with the most distress are tech, healthcare, and services, specifically among companies taken private via leveraged buyouts. Many of these deals were predicated on aggressive synergies and growth that failed to materialize, leaving them far more levered than originally planned and vulnerable to downgrades.
Recent financial distress in large, private equity-owned software companies is being misattributed to the threat of AI. The actual cause is over-leveraging when interest rates were low, followed by an inability to service that debt as rates rose and growth slowed. It's a credit problem, not a technology disruption problem.
Beyond the long-term threat of AI disruption, highly leveraged, lower-quality software companies funded by private credit face a more immediate problem: a $65 billion wall of debt maturing by 2028. They must refinance this debt amid high uncertainty, creating significant near-term risk separate from AI's eventual impact.
Roughly one-third of the private credit and syndicated loan markets consist of software LBOs financed before the AI boom. Goodwin argues this concentration is "horrendous portfolio construction." As AI disrupts business models, these highly levered portfolios face clustered defaults with poor recoveries, a risk many are ignoring.