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1 Rule, 3 Stocks: Why One Legendary Investor Would Choose These Stocks Above Any Others Right Now

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1 Rule, 3 Stocks: Why One Legendary Investor Would Choose These Stocks Above Any Others Right Now

S&P Global, Fair Isaac (FICO) and Home Depot are highlighted as high-quality businesses trading near 52-week lows (SPGI ~10% off low, FICO ~6%, HD ~4%). Key fundamentals: SPGI 10-year gross margin ~65% and operating margin ~43% with P/E ~29; FICO gross margin ~83% (up from 67% a decade ago), trailing-12-month FCF +394% to $718M, P/E ~44 but uses leveraged buybacks; HD ~32% long-run gross margin, >$2B quarterly free cash flow and net debt near $64B (up ~250% over 10 years). The piece is a bullish, value-focused buy argument tempered by valuation and balance-sheet concerns.

Analysis

High-quality subscription data franchises are asymmetric: modest top-line growth compounds into outsized FCF over cycles because marginal costs to scale analytics are near-zero. That creates durable optionality for buying power and M&A optionality (bolt-on analytics, verticalized data sets) — a second-order winner is specialist regtech/ML vendors that sell embedded scoring to banks and would be natural acquisition targets, which can re-rate incumbent multiples if capex remains light. Key risks are idiosyncratic rather than macro: regulatory scrutiny of opaque scoring/rating methods, and capital-allocation choices (levered buybacks) that amplify downside in a credit downturn. Near-term catalysts that could move multiples are quarterly guidance on subscription retention and an update on buyback cadence (days–quarters), while structural resolution of regulatory inquiries or a demonstrable shift to transparent ML models plays out over 12–36 months. Consensus is treating these names as ‘‘safe’’ defensives; the market underprices two vectors of optionality (incremental margin capture via cross-sell into enterprise workflows, and value creation from disciplined buybacks). Conversely, Home Depot-like retail exposure is being priced more for cyclical housing risk than for customer-share gains from professional channels — that makes asymmetric pair trades feasible where you long durable data franchises and short capital-intensive retail exposure into a slowing housing cycle.