Using Buffett's good/great/gruesome taxonomy as a live filter, testing "capital-light" with a single question, buying an insurer into a soft market, and specifying a purchase in three numbers instead of one.
1. Sort every candidate into good / great / gruesome before you look at the price
The repeatable method
- Ask one question of the business: to earn another dollar of profit, how many dollars must the owner put in?
- Gruesome — grows fast, consumes large capital, earns little; no moat and price competition (airlines). Exclude regardless of price.
- Good — real moat and real customer value, but growth must be bought with reinvestment ("pay more to earn more"). Ownable, but the compounding is capped by the capital bill.
- Great — moat, high returns on capital, and growth that arrives without much new capital, so the cash is free to leave the business or fund the next one.
- Only after the sort do you argue about valuation. In a market where good and gruesome businesses are "priced for perfection," the sort is what protects you.
Here: FlightSafety is the "good" case — a clear moat that "had to constantly spend millions on new simulators." See's Candies is the "great" case with the arithmetic attached: $8m of capital earning ~$5m in 1972, $40m of capital earning $82m decades later, so nearly all the cash could be redeployed elsewhere. Airlines are the gruesome control.
Watch for
- Maintenance capex disguised as growth capex — a "great" business that quietly needs replacement spending is a good business with better accounting.
- A business that was great becoming good as it saturates its market and starts buying growth.
2. Test "capital-light" with the marginal-unit question, not with a ratio
The repeatable method
- Name the company's unit of output — a transaction, a policy, an advised dollar, a subscription.
- Ask what it costs to serve one more of them. If the honest answer is "essentially nothing," the business is capital-light in the way that matters.
- Confirm with the financial trace: high margins, low capex-to-sales, and free cash flow that exceeds accounting profit.
- Then look at where the surplus cash goes. A capital-light compounder with nothing to reinvest in should be visibly shrinking its share count.
Here: V — "It requires virtually zero extra capital to process an extra million transactions," and the consequence is a consistent buyback. AMP — fee revenue at high margin plus "very low capital intensity" produces "tons of Free Cash Flow" and a shareholder yield over 8%. KNSL is called "a very capital light insurer," with the combined ratio as the evidence.
Watch for
- Buybacks that merely offset stock-based compensation — the share count, not the buyback dollars, is the test.
- Capital-light businesses that need heavy marketing instead of capex; the money still leaves.
3. For an insurer, underwrite the combined ratio gap — and buy the cycle's soft leg
The repeatable method
- Take the combined ratio (claims + expenses as a percentage of premiums). Under 100 means the insurance itself is profitable before investment income.
- Compare it with a respected peer's, and insist on an explanation for the gap that is structural — niche focus, an own-built system, in-house claims — not a run of luck on losses.
- Establish where the underwriting cycle is. Prices falling because capital has flooded in is a soft market; that is when the shares de-rate.
- Ask whether the market is pricing the soft market as permanent. If the advantage is structural, the cycle's low is the entry point rather than the exit.
Here: KNSL at a ~77% combined ratio against Markel's ~95%, attributed to E&S-only focus and technology built from scratch — "lower costs than their competition… better data and can quote policies faster and more accurately." Then the timing: "The insurance market is currently going through a soft market. I think today's valuation levels provide amazing opportunities."
Watch for
- Growth in premiums during a soft market — an insurer growing while prices fall may be buying market share with underwriting standards.
- Reserve releases flattering the combined ratio; the gap should survive on current-year losses alone.
4. Specify a purchase in three numbers: dollars, shares, and a limit
The repeatable method
- Decide the position increment in dollars first — that is the risk decision, and it forces a comparison across candidates.
- Convert to a share count at the price you are willing to pay, not at the last trade.
- Set a limit price and let the order go unfilled if the market moves away. A named limit is what stops conviction from becoming price-insensitivity.
- Publish or record the three numbers before executing, so the decision cannot be rewritten after the fact.
Here: V $20,000 / 60 shares / limit $337 · KNSL $20,000 / 65 shares / limit $330 · AMP $10,000 / 22 shares / limit $460, all executed "on Monday" after Partners were told. The unequal sizing (half-size for Ameriprise) is itself the ranking.
Watch for
- Limits that never fill turning into a permanent "almost bought" list; a limit needs a review date as well as a price.
- Rounding the share count up to spend the full dollar allocation — the dollar figure is the constraint, not a target.
5. In an expensive market, add to what you already rank highest rather than widening the book
The repeatable method
- When the opportunity set looks poor, resist the reflex to hunt for new names — a stretched market is exactly when new ideas are least well vetted.
- Go back to your own conviction ranking and ask which top-tier holdings are furthest below their own valuation history.
- Add there. You are buying more of something already underwritten, which is a lower-variance use of capital than a fresh position.
- Keep the number of holdings flat; let the weights do the work.
Here: all three adds —
V,
KNSL,
AMP — were already disclosed
Very Strong convictions in April. No new name is introduced; the issue converts an existing ranking into position size.
Watch for
- Concentration creeping past what the thesis can carry — adding to winners and losers alike needs a stated maximum weight.
- Averaging down on a name whose reason for cheapness has changed; re-underwrite before you add.
6. Use consensus growth expectations as a market-level sanity check
The repeatable method
- Find the aggregate earnings growth rate embedded in analysts' index forecasts, and put it beside the long-run historical rate.
- If the forecast is a multiple of the norm, treat it as a statement about sentiment rather than about earnings.
- Pair it with a factor-spread reading — momentum versus low volatility, or quality versus momentum — to see which side of the market the optimism is concentrated in.
- Convert the reading into a filter tightening, not a market-timing call.
Here: "Analysts expect that the earnings of S&P500 will compound 24% annually for five years. That's double the historical norm and completely unrealistic," alongside a momentum-vs-low-volatility gap that "has never been wider" — and the response is "focus even more on buying the very best businesses," not a move to cash.
Watch for
- Aggregate forecasts dominated by a handful of index heavyweights; the median company's expected growth may be ordinary.
- The gap closing through quality re-rating rather than momentum de-rating, which changes what you should be buying next.
Methods distilled from the archived Compounding Quality post for personal study. Not investment advice.