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Actionable insights — Fair Isaac: a 114-page deep dive

How to convert a "no" into a working order: restate the multiple for share-based pay, name the price that changes the answer, and keep the position on watch instead of discarding the work.
2026-MAY-21 · Compounding Quality (Substack) · Pieter Slegers / Team Compounding Quality · read ↗ · full analysis · transcript
How to read this page: the underlying 114-page case is guest-written (Compound with René); what is reusable is the layer Compounding Quality applies on top of it — the adjustment, the threshold and the decision. The last insight is about consuming other people's research safely. Written post, so no timestamps.

1. Restate every forward multiple for stock-based compensation before calling anything cheap

The repeatable method
  1. Find stock-based compensation as a percentage of net income. Anything above roughly 10% needs the adjustment; above 20% it dominates the answer.
  2. Deduct the full SBC charge from earnings and recompute the forward multiple on the adjusted number.
  3. Compare the adjusted multiple, not the headline one, to the company's own history — because the history needs the same adjustment.
  4. Apply this consistently across every candidate, not just the ones you are inclined to reject.
Here: "SBC as a % of Net Income equals 22% (!). FICO currently trades at a FWD PE of 25.2x. But if you take into account Stock-Based Comp, the actual valuation level is 30.7x." One adjustment turns "the cheapest valuation level of the past 10 years" into an expensive stock, and it is the reason the deep dive ends in a no. Contrast the 14 May Arista dive, where SBC was called "a red flag" and deducted inside the reverse DCF but the headline 37.7x multiple was left unadjusted.
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2. Turn every "no" into a price

The repeatable method
  1. When you decline a business you rate highly, state the multiple at which you would own it — on the adjusted earnings, not the headline.
  2. Convert that multiple into a share price and publish it.
  3. Record the gap between that price and the current one, so the size of the required move is explicit.
  4. Set an alert at the price rather than revisiting the name on a schedule.
Here: "We would love to own FICO at a FWD PE of 25.0x (after SBC). This implies a stock price of $901 (current stock price: $1.230)" — a required fall of about 27%. The follow-through is stated too: "We keep following up on FICO very closely. It could be added to the Portfolio one day."
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3. Ask whether AI substitutes for the product or lowers the barrier to competing with it

The repeatable method
  1. Separate the two AI risks explicitly: does the technology replace the customer's need, or does it make a rival cheaper to build?
  2. For data and analytics businesses, the second is usually the live risk — the moat is the cost of building a credible alternative model.
  3. Identify who benefits from that cost falling, and whether they have distribution.
  4. Look for the regulatory or institutional gate that has been keeping the rival out, and monitor that gate rather than the technology.
Here: "it's uncertain whether Fair Isaac can keep its monopoly going forward (AI could make it easier for VantageScore to become successful)". The gate is named in the 7 June issue: the FHFA now allows VantageScore 4.0 for mortgage approvals. Institutional inertia and "decades of trust" are the moat — and both are regulatory permissions as much as technical ones.
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4. Score quality and decide on price as two separate outputs

The repeatable method
  1. Complete the quality assessment to a number before opening the valuation work.
  2. Publish the quality verdict even when the answer to the buy question is no, so the two do not contaminate each other.
  3. Where the two disagree, say which one is binding and why.
  4. Keep the high-quality declines on a watchlist, because the quality work does not need redoing when the price moves.
Here: "one of the best compounding machines in history", "a tollbooth on the U.S. financial system", 90% of US lending decisions, "the highest margins in the industry", Total Quality Score 7.8/10 — and then "No. We are not buying FICO at this point in time." Both statements are printed in the same issue without either being softened.
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5. Screen for tollbooths: a mandatory fee on a transaction you do not have to fund

The repeatable method
  1. Look for a business paid per transaction rather than per unit of its own capital — a fee on someone else's activity.
  2. Establish its share of the transactions it touches; a genuine tollbooth appears in the overwhelming majority.
  3. Check the fee is small relative to the total cost of the transaction, which is what makes it hard to dislodge.
  4. Confirm the business is capital-light, so growth in transaction volume drops through to cash rather than requiring reinvestment.
Here: "Every time a mortgage, auto loan, or credit card application is processed, FICO earns a small fee. This makes FICO a tollbooth on the U.S. financial system." Verified by share: 90% of US lending decisions, over 95% of mortgage-backed securities. The same screen produces SPGI two and a half weeks later — "a financial toll bridge… a legal oligopoly", Best Buy #3 on 7 June.
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6. Consume outside research by keeping the decision layer in-house

The repeatable method
  1. Use third-party deep dives for the descriptive work — business model, history, competitive landscape — where breadth is expensive and errors are visible.
  2. Never outsource the two things that determine the outcome: the adjustments you make to the reported numbers, and the price at which you would act.
  3. Re-derive at least one headline figure yourself as a sanity check on the source.
  4. Attribute the source plainly, so a reader can weigh it.
Here: the 114 pages are by Compound with René, credited at the top and again at the bottom — "he was so kind to share the investment case with us". What Compounding Quality supplies is the 7.8/10 Quality Score, the SBC restatement from 25.2x to 30.7x, and the decision. René's own conclusion lists the three concerns; the house layer prices two of them.
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Methods distilled from the archived Compounding Quality post for personal study. The underlying investment case is the work of Compound with René. Not investment advice.