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Actionable insights — Best Buys January 2026

The monthly Best Buys machinery: a fixed universe, a worst-performer sweep, a reverse-DCF hurdle, and a test for telling short-term noise from broken theses.
2026-JAN-18 · Compounding Quality (Substack) · Pieter Slegers · read ↗ · full analysis · transcript
How to read this page: the Best Buys format is itself a repeatable process — the same sequence runs every month, so the method matters more than the five names in any one issue. Written post, so no timestamps.

1. Do the quality work once, then shop only from the resulting universe

The repeatable method
  1. Pre-qualify a fixed "investable universe" of companies that already pass the quality screen — moat, high ROIC, consistent free cash flow.
  2. Each month, re-rank that universe on price rather than re-running the whole search. The monthly work is valuation, not discovery.
  3. Keep the universe stable so that month-to-month price moves become the signal.
Here: the best/worst-performer tables are explicitly "the best and worst performers in our investable universe" — the January five all come out of that pre-vetted pool.
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2. Start from the month's worst performers, not the best

The repeatable method
  1. Sort the universe by trailing one-month return and read the losers first: "The cheaper we can buy great companies, the better."
  2. For each faller, identify the single reason given by the market, then judge whether it changes the ten-year cash flows.
  3. Treat the winners list as information, not as a source of ideas.
Here: the losers list produced FTNT (−18.9% on guidance) and framed AZO; the winners (Ulta, RH) got one sentence and no analysis.
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3. Size the news against the price move — the noise test

The repeatable method
  1. Quantify the disappointment in the units the business actually operates in (a growth rate, a guidance change), not in the units of the share price.
  2. Set that magnitude against the market-cap move. A rounding-error miss producing a large decline is a sentiment event.
  3. Then zoom out to intrinsic value — book value, NAV, cash flow per share — and check it is still compounding.
Here: III.L fell ~20% because Action's like-for-like growth was 6.5% instead of 6.8%. "Investors were totally upset by the 0.3% difference. I kid you not." Meanwhile NAV doubled in three years and total returns averaged 30%/yr over five.
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4. Use the reverse DCF as a hurdle, and compare it to delivered growth

The repeatable method
  1. Solve for the free-cash-flow growth rate the current share price implies.
  2. Line that number up against three references: the 10-year realised CAGR, the 3-year expected CAGR, and the long-term EPS estimate.
  3. Buy when the implied requirement sits comfortably below all three; skip when it sits above them.
Here: ZTS — the price requires 7.4% FCF growth, against 18.2% delivered over ten years, 13.9% expected over three, and a 7.8% long-term EPS estimate. "Zoetis seems to be undervalued right now."
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5. Follow the disciplined operator onto the register — buy the playbook, not just the business

The repeatable method
  1. Track stake-building by acquirers with a proven operating playbook, and note the direction of travel (a stake rising over quarters, not a one-off block).
  2. Write down the specific improvements the playbook prescribes — cash collection, value-based pricing, cost discipline, return-gated M&A — and turn them into a margin gap you can quantify.
  3. Look for the first evidence the culture has landed inside the target (a cost review, a pricing change, a personnel move) before assuming it will.
Here: TOI.V went from 10% to 14.8% of ACP.WA in nine months; Constellation's Volaris claims it can take "just about any software company" to ~30% profitability, and Asseco's margins are "nowhere near" that — with Asseco South Eastern Europe already running "its first in-depth cost analysis in several years."
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6. Invert the sign on a falling price when the company is a cannibal

The repeatable method
  1. Identify companies whose main use of cash is buying back their own shares.
  2. For those, treat a lower price as an operational input, not just a mark-to-market loss: the same buyback budget retires more shares, so per-share value builds faster.
  3. Confirm the buyback is funded from free cash flow rather than debt, and that share count is genuinely falling net of issuance.
Here: "A lower stock price is actually a good thing for Autozone. Why? It's a Cannibal Stock." (AZO appears in the losers table, and is read as a beneficiary of its own decline.)
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7. Separate a cyclical trough from a structural decline before buying the fall

The repeatable method
  1. Trace the demand shock to its cause and date it (a pull-forward, a stimulus, a one-off build cycle).
  2. Ask what the boom left behind that generates recurring revenue afterwards — an installed base needing consumables and service is the tell.
  3. Buy when the market is extrapolating trough earnings as permanent and the moat (scale, distribution) is untouched.
Here: POOL — COVID pulled pool construction forward to a 2022 peak, earnings have fallen since, but the installed base needs chemicals and maintenance for decades. "Short term investors are seeing the earnings decline as permanent."
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8. Publish candidates, not the book — and say why

The repeatable method
  1. Keep the monthly write-ups to names outside the current portfolio, so the analysis is a genuine evaluation rather than a defence of an existing position.
  2. Treat the five as a ranked shortlist of candidates, not as a model portfolio.
Here: "We only talk about companies that aren't in Our Portfolio today. Why? We love all companies we own… The 5 examples we talk about in this article can be considered as serious candidates for the Portfolio."
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Methods distilled from the archived Compounding Quality post for personal study. Not investment advice.