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Actionable insights — Buying A Forever Winner

A durability test written in three clauses, counting moats instead of describing one, requiring all three valuations to agree before acting, and disclosing the order.
2026-JUL-26 · Compounding Quality (Substack) · Pieter Slegers / Team Compounding Quality · read ↗ · full analysis · transcript
How to read this page: a transaction post is where the process becomes checkable, because the decision actually happened. The most useful insight here is the last one — the seven-day path from a ranked shortlist to a filled order, which is the observable half of a candidate pipeline. Written post, so no timestamps.

1. Test durability with three clauses in three tenses

The repeatable method
  1. Ask the question in the past tense: was this company the clear leader twenty years ago? A verifiable historical fact, not an opinion.
  2. Ask it in the present: is it still the leader? If the answer changed between the two, the moat has already been breached once.
  3. Ask it in the future, and require the word "probably" — the honest answer is a probability, and forcing yourself to say it out loud exposes weak cases.
  4. If any clause fails, you are underwriting a change of position rather than a durable one, and the required analysis is different.
  5. Use the test to filter before valuation work, so you never spend a deep dive on a business that fails clause two.
Here: SPGI — "was the clear market leader 20 years ago; is still the market leader today; will (probably) still be the market leader in 20 years from now. Those are exactly the companies we're looking for," alongside "+14.4% per year" since 1990.
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2. Count the protected positions, and check whether they reinforce each other

The repeatable method
  1. Break the company into its reported segments and assess each one separately: is it a leader, and how many real competitors does it face?
  2. Count the segments that are genuinely oligopolistic. One is normal for a quality business; several is unusual and worth pricing.
  3. Then test the linkages: does being strong in segment A make segment B harder to attack? Independent moats add; interlocking moats multiply.
  4. Name the source of protection for each — network effects, regulation, proprietary data — because different protections fail to different threats.
  5. Ask what a competitor would have to do to break in, and note whether they would need to succeed in several places simultaneously.
Here: "All five of S&P Global's businesses face only 2–3 major competitors… It doesn't operate in just one oligopoly. It operates in five." And the interlock: "ratings support index inclusion, indices generate market data, and market intelligence strengthens the company's ecosystem."
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3. Require all three valuation methods to agree before you buy, not just before you look

The repeatable method
  1. Run the same three tests on every candidate: forward multiple versus its own ten-year average, an earnings growth model, and a reverse DCF at a 10% required return.
  2. Record each as pass or fail independently, before forming a view.
  3. Buy only when all three pass. Two of three is a follow-list entry, not a purchase.
  4. Compare the reverse DCF's implied growth rate directly with the company's own historical rate — the sentence you want to be able to write is "it should be able to grow more than that."
  5. Keep the required return fixed across all names so the tests remain comparable over time.
Here: SPGI — forward PE 22.1x against a 27.0x ten-year average, an Earnings Growth Model return of 11.5%, and a reverse DCF implying "only 9.0% annual free cash flow growth." Three passes, and the purchase follows. Three days earlier the same three tests on LLY gave two fails and a pass, and the name was declined.
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4. When there is no founder stake, read the compensation structure instead

The repeatable method
  1. Look for insider ownership first — a large personal stake is the strongest form of alignment.
  2. Where none exists (as at most large-cap incumbents), go to the proxy statement and establish what fraction of the CEO's pay is at risk.
  3. Check what it is at risk against: long-term earnings or returns on capital align with owners; revenue, share price over one year, or "strategic objectives" do not.
  4. Treat a high performance-linked percentage tied to a long-term operating metric as a partial substitute for ownership, and say so explicitly rather than skipping the question.
Here: "Strong management: CEO Martina Cheung's compensation is 92% performance-based and tied to long-term EPS growth" — offered in place of an insider-ownership figure, which is not cited. Contrast LLY, where insider ownership of ~0.2% cost the management category a point in the deep dive.
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5. Buy with a limit set marginally below the last price, and accept the risk of not being filled

The repeatable method
  1. Decide the position size in currency before you look at the price, so the order is sized by conviction rather than by the quote.
  2. Set a limit slightly below the prevailing price rather than crossing the spread. You are declining to pay for immediacy.
  3. Accept that a small proportion of orders will not fill. For a long-term holding, a missed fill costs far less than a habit of paying up.
  4. Publish or record the order — size, limit, quantity — so execution can be audited later against the thesis.
  5. Do not chase. If the price runs away, the name returns to the shortlist at the new price and is re-tested.
Here: "We are buying S&P Global for $50.000. We use a limit price of $425 (a bit under the current stock price)" — against a $426.4 quote, roughly 120 shares, with the Interactive Brokers ticket reproduced.
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6. Close the loop between the shortlist and the order, and measure the lag

The repeatable method
  1. Timestamp the moment a name enters the ranked shortlist and the moment it is bought.
  2. Keep the lag short enough that the analysis is still current, and long enough that the decision is not reactive.
  3. Re-check the price against the case at the moment of purchase — the shortlist was written at a different price.
  4. Track how many shortlist names are eventually bought. A pipeline with near-zero conversion is a content exercise; one with near-total conversion was never a filter.
Here: SPGI was ranked #1 on the 19 July Best Buys list with the hint "it's very likely that we might buy 2 of the 3 companies from our top 3," and bought on 26 July — a seven-day lag, the shortest observable in this archive.
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Methods distilled from the archived Compounding Quality post for personal study. Not investment advice.