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Actionable insights — 10 Stocks for the next 20 years

Using an artificial constraint to change what you look for, the single relevance question, and the three families of twenty-year durability — unbuildable networks, compelled demand, and spending nobody cancels.
2026-JUL-02 · Compounding Quality (Substack) · TJ Terwilliger, introduced by Pieter Slegers · read ↗ · full analysis · transcript
How to read this page: the list itself is not the useful output — the constraint that generated it is. Each insight below is a screen or a discipline the issue actually applies, written so it can be rerun on your own candidates. Note also what this format deliberately omits (any valuation work at all) and treat that as a boundary on the method, not a flaw. Written post, so no timestamps.

1. Impose an artificial lock to change what you are optimising for

The repeatable method
  1. Set the exercise up precisely: a fixed number of individual companies, no funds, no additions, no sales, dividends reinvested, for a stated multi-decade period.
  2. Notice what the lock removes — the ability to correct a mistake — and let the objective change accordingly, from maximising return to minimising the chance of a permanent loss.
  3. Write down every name you would actually be comfortable never revisiting. The list will be much shorter and much duller than your real portfolio.
  4. Compare the two lists. The gap between them is the part of your portfolio that depends on you being able to change your mind, and it should be sized as such.
  5. Repeat periodically — the exercise is a calibration tool, not a portfolio construction method.
Here: the community's rule set — ten companies, a trust "you can't touch or change for 20 years," dividends reinvested, acquisitions converted into the acquirer's stock — produces the conclusion in one line: "You won't be focused on making the most money. You will be focused on avoiding big mistakes."
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2. Ask one question of every candidate — "why will this still be relevant in 20 years?"

The repeatable method
  1. Force the answer into two headings only: how the company makes money, and why that mechanism still exists in two decades.
  2. Reject answers that describe the present ("growing fast," "great margins") rather than the future's structure.
  3. Demand that the durability argument be about something outside the company's control — a permit regime, a legal requirement, a biological fact, a physical network — rather than about management's excellence.
  4. Write the answer in three bullets. If it takes more, the case depends on a chain of events rather than a standing condition.
Here: every one of the ten gets exactly those two headings and three bullets. WM's answer is a permitting regime, ROL's is entomology, SPGI's is a bond-market rule, SHW's is the contractor's need for a store within a few minutes' drive.
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3. Prefer networks that could not be built again today

The repeatable method
  1. Ask literally: if a competitor were handed the capital tomorrow, could they reproduce this asset? If the blocker is money, it is not a moat. If the blocker is permission, geography or time, it is.
  2. Look specifically for assets whose supply is politically constrained and shrinking — permits, licences, land near cities, grid connections.
  3. For service networks, measure density rather than size: stops per route, stores per market, the marginal cost of the next customer on an existing round.
  4. Check that the density advantage shows up in economics (cost per unit served), not just in a map.
Here: WM — "New landfills are almost impossible to build. Zoning rules are strict, and people who live nearby fight them." CTAS — "more than 12,000 routes." SHW — 5,400 stores so that "one is always nearby." GWW — the widest catalogue plus the distribution to deliver it, making it "a one-stop shop for complex operations."
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4. Rank demand by how little choice the customer has

The repeatable method
  1. Classify the revenue: is the purchase required (by law or by the system), necessary (the alternative is unacceptable), or preferred (the customer likes it)?
  2. Weight required and necessary far above preferred for a long-horizon holding — preference is the thing most likely to change over twenty years.
  3. Where demand is required, identify the rule that requires it and how stable that rule has been historically.
  4. Treat rising regulatory complexity as a tailwind for whoever absorbs it on the customer's behalf, and check that the company is positioned as the absorber.
Here: SPGI — "Companies that borrow money need credit ratings. The global financial system can't work without them." ADP — "Taxes and regulations get more complex every year. Rather than risk huge fines doing it themselves, businesses gladly pay ADP to handle it." ROL — "Homeowners and companies cut almost everything else before they cancel pest control."
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5. Over a long horizon, underwrite the inflation clause, not just the growth rate

The repeatable method
  1. For any holding meant to survive decades, find out whether its prices reset with inflation automatically, by negotiation, or not at all.
  2. Prefer contractual escalators over pricing power that must be re-won every year, and note the contract length.
  3. Pair the escalator with an asset that cannot be duplicated, so the counterparty has no alternative when the escalator bites.
  4. Then ask the cost side: does the business also have costs that inflate faster than its prices (labour-heavy service models are the usual offender)?
Here: BN — revenue "often comes from contracts that last 20 to 50 years and rise with inflation," attached to toll roads, dams and prime property that "can't be replaced." Elsewhere in this archive the non-contractual version appears as measured pricing power — Games Workshop's 4-5% annual increases that customers absorb.
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6. Know when you have run a durability screen and still owe yourself an entry price

The repeatable method
  1. Recognise that a "own it forever" exercise deliberately suppresses valuation — with no ability to trade, timing has no value, so it is excluded by design.
  2. Treat the output as a candidate universe: names that pass the durability test and are therefore worth pricing.
  3. Re-impose the entry discipline separately — a multiple versus the company's own history, or a reverse DCF, before any actual purchase.
  4. Keep the two verdicts distinct in your notes, so "great business" is never quietly read as "buy."
Here: no valuation appears anywhere in the issue. That is why CTAS can be listed as a twenty-year holding weeks after the same publication declined it on price, wanting a 25x forward multiple ("$132 against $174") — two different questions, two different answers, and only the second one is a transaction.
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7. Read the exclusions — what a durability list leaves out is the finding

The repeatable method
  1. After building the list, write down the sectors that produced no entries at all.
  2. For each absence, state whether it reflects genuine fragility (competitive position under active renegotiation) or simply unfamiliarity.
  3. Check the list for hidden concentration — geography, currency, one economy's regulatory regime — that a "diversified" ten names can easily hide.
  4. Publish or record the list and invite disagreement; a durability claim is a falsifiable one.
Here: no semiconductors, no software platforms, no AI beneficiaries, no emerging-market growth names; the nearest thing to technology is ADP, chosen for the pain of leaving rather than for its product. Nine of ten are US-listed and most are physical or regulatory infrastructure. The issue closes by asking readers which ten they would pick.
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Methods distilled from the archived Compounding Quality post for personal study. Not investment advice.