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Actionable insights — TransDigm: Mini-Monopolies at 30,000 Feet

The three-condition pricing-power test, how to verify an acquisition record statistically, and the discipline of naming the price at which a pass becomes a purchase.
2026-MAR-26 · Compounding Quality (Substack) · Pieter Slegers · read ↗ · full analysis · transcript
How to read this page: each insight is a method used in this issue, written so it can be rerun on other names. Written post, so no timestamps.

1. Test pricing power with three conditions, not with brand or margin

The repeatable method
  1. Is the product mission-critical — can the customer operate without it? (Better still: is it legally required?)
  2. Is there almost no competition for this specific item, and what stops a new entrant?
  3. Does the product represent a trivial share of the customer's total cost? Compute the actual ratio rather than asserting it.
  4. Only when all three hold does an annual price increase go through unopposed. Two out of three is not enough.
Here: AmSafe — a legally required seatbelt, a 95%+ share, and ~$20,000 of seatbelts on a $30–50m aircraft, "less than 0.1% of the aircraft's overall cost." Hence 5–6% price rises "every single year."
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2. Find behavioural proof that the customer is price-insensitive

The repeatable method
  1. Do not infer insensitivity from margins — margins are the result you are trying to explain.
  2. Look for customer behaviour that only makes sense if price is irrelevant: not pursuing refunds, not tendering, not switching after an increase.
  3. Compare that behavioural threshold with the company's actual average selling price.
  4. If the threshold is above the price, price increases have room to run.
Here: "When a part costs under $800 and doesn't work on arrival, Airbus often doesn't bother requesting a refund. Instead, they simply order a replacement. The average price across TransDigm's product portfolio is around $1,000."
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3. Check a serial acquirer's record against the base rate before believing it

The repeatable method
  1. Establish the base rate: roughly 70% of acquisitions destroy shareholder value.
  2. Count the deals and ask what the claimed hit rate implies. A perfect record across dozens of deals is statistically extraordinary — 0.3^82 by chance.
  3. Treat that as a prompt to verify rather than to admire: who computed the returns, on what definition, and was it audited by a credible outsider?
  4. Look for an independent corroborating signal — an award judged by peers, a competitor's testimony, or a third-party analysis.
Here: Howley's 50–82 acquisitions "all… created private equity-like returns (>15%)," corroborated by the Singleton Prize (judged by Will Thorndike, Todd Combs and Mark Leonard) and by the acquired McKechnie CEO's testimony — "every day we were trying to copy them."
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4. Weight the testimony of a competitor you acquired above any other source

The repeatable method
  1. Look for cases where a direct rival came inside the business — through acquisition, a hire, or a partnership.
  2. Their assessment is the least contaminated evidence available: they had every incentive to believe the model was replicable, and they had tried.
  3. Weight a reversal of view (they tried to copy it and could not) more heavily than any management presentation.
Here: the former CEO of McKechnie Aerospace, a self-described "TransDigm 2.0" bought for $1.3bn: "These guys are so much better than I ever imagined. I totally underestimated how they do what they do."
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5. Separate razor from razorblade, and value them differently

The repeatable method
  1. Split revenue into the original sale and the replacement stream, and get the margin on each.
  2. Estimate the installed life of the product — the longer it is, the larger the aftermarket relative to the original sale.
  3. Ask why nobody enters the replacement market: in shrinking, ageing fleets the prize is falling while the approval cost is not, so entry is unattractive by construction.
  4. Value the aftermarket as recurring revenue and the original sale as cyclical, not as one blended business.
Here: Defense 43% / Commercial OEM 25% / Commercial Aftermarket 32%, with aftermarket margins "much higher"; aircraft fly 30–50 years; and "80% of its revenue comes from products for which it is the only provider."
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6. Treat approval cost as a moat — and measure it by how long incumbents have survived

The repeatable method
  1. Identify the regulatory approval a new entrant would need, and estimate its cost and elapsed time.
  2. Test the barrier empirically: how old are the incumbents in this niche? Longevity is the observable proxy for entry difficulty.
  3. Prefer the boring components: the more mundane and less performance-differentiating the part, the less anyone bothers to attack it.
  4. Check whether a regulator could create a bypass — that is the barrier's single point of failure.
Here: "Even the soap dispensers on planes need approval from the Federal Aviation Administration"; "most of the airplane parts manufacturers have been in business for over 70 years"; and the industry saying, "airlines buy new planes for fuel efficiency, not seatbelts."
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7. Convert a pass into a standing order by naming the price

The repeatable method
  1. Complete the full quality work even when you expect to decline — it is reusable the moment the price moves.
  2. State the reasons for the pass in order of importance, separating structural objections (size, leverage) from price.
  3. Convert the price objection into a specific multiple, then into a specific share price, and state the distance from today.
  4. Record it so the decision is triggered by the market rather than remade under pressure.
Here: Total Quality Score 8.0/10 and "we are not buying" on size, gearing and valuation — followed by "we would start to become interested at a FWD PE of 25x… a stock price of $1,010. (12.5% below today's stock price)."
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8. Read a negative ROE before treating it as a failure

The repeatable method
  1. When return on equity is negative, check whether the denominator is negative rather than the numerator.
  2. Negative equity from debt-funded buybacks and special dividends is a capital-structure choice, not unprofitability.
  3. Switch to return on invested capital, which is unaffected by the distinction, and judge on that.
  4. Then judge the leverage on its own terms — interest coverage and net debt to EBITDA — rather than through the ROE artefact.
Here: ROE −26.1% because "their capital structure relies on Debt instead of Equity" and a large special dividend cut retained earnings; ROIC is 17.0%. The leverage is then failed separately and explicitly: 2.5x interest coverage, 5.9x Net Debt/EBITDA, 46.6% goodwill.
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Methods distilled from the archived Compounding Quality post for personal study. Not investment advice.