Fair Isaac reported 39% year-over-year revenue growth in fiscal Q2 to March 31, with EPS rising to $11.14 from $6.59; scores revenue jumped 60% and software revenue grew 7%. Despite the strong operating performance, shares are down 39% this year as investors worry about AI disruption to SaaS, regulatory scrutiny, and antitrust pressure in mortgage credit scoring. The stock now trades at 33x earnings, well below its three-year average P/E of 69.
The market is pricing FICO as if the core economic moat is eroding, but the more interesting setup is a mismatch between headline regulatory risk and the company’s embedded distribution power. In practice, lenders optimize for model stability, approval rates, and compliance defensibility; that means even a modestly better model tends to win share slowly, not suddenly. The result is that the bear case likely requires a multi-year deplatforming process, while the bull case can re-rate quickly if investor confidence returns that pricing reform is a one-time reset rather than a structural margin collapse. Second-order, the pressure on SaaS multiples cuts both ways: it is a valuation anchor for software-like businesses, but FICO’s mix is less exposed to pure seat-based replacement risk than the market assumes. If AI agents compress generic workflow software, lenders may actually concentrate spend into vendors with the deepest proprietary datasets and strongest audit trails, which favors incumbents over point solutions. That dynamic should hurt newer underwriting challengers more than the incumbent, because challengers need both model performance and regulatory trust, and they usually only have one of the two. The real catalyst risk is policy, not product. A favorable regulatory outcome could re-rate the stock sharply over 3-6 months because the multiple is already compressed versus its own history, but the reverse is also true: if pricing scrutiny turns into an enforced structural concession, the equity could de-rate further despite continued earnings growth. On balance, the current selloff looks more like a sentiment-driven overreaction than a fundamental break, but the position should be treated as a policy-duration trade, not a simple quality compounder. UPST remains the cleaner short on competitive and underwriting credibility risk, especially if mortgage and consumer credit remain choppy; any FICO normalization likely comes at the expense of smaller AI-driven entrants first. NVDA and INTC are only tangential beneficiaries via the AI narrative, but the article’s real signal is that enterprise buyers still pay for defensible infrastructure, not generic AI theater.
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