Dynamics + Capstone

Learning objectives

By the end you can:

1. Narrate and detect the capital cycle: state the six-stage anatomy (high returns → capital floods in → capacity arrives → returns collapse → capital flees → returns recover), explain why the cycle is made on the supply side, and identify an industry's current stage from public data.
2. Read cycle position in the numbers: compute and interpret capex/depreciation ratios, industry capacity growth vs demand growth, capacity utilization, order books, and issuance clusters, and name the exact India and US sources for each gauge.
3. Apply the capital-cycle investing rule (be afraid of sectors where capital is flooding in, hunt in sectors starved of capital), including its demand-side caveat and its interaction with moats (the cycle is weather for no-barrier industries, climate for moated ones).
4. Classify innovation correctly: distinguish sustaining innovation from low-end and new-market disruption, explain the mechanism that makes incumbent retreat rational (asymmetric motivation, the margin-mix ratchet, RPV), and run the four-question test that filters real disruption from the ~90% of claimed "disruption" that isn't.
5. Audit any moat for disruption vulnerability: map which moat sources survive architecture shifts and which are architecture-specific, and write a named-threat vulnerability assessment rather than a vague "tech risk" line.
6. Run the erosion dashboard: compute and interpret the five numeric erosion signals: gross-margin slippage, rising churn/discounting, share loss to a structurally different rival, ROIC glide, and rising reinvestment with falling ROIIC, each with its false-positive check.
7. Render a direction verdict (widening / stable / eroding / broken) that names the mechanism, cites the numbers, and pre-commits falsifiable tripwires ("what would change my mind").
8. Produce an institutional-grade moat dossier: the full four-lens analysis + dynamics extension + 10-year numbers-proof + CAP estimate + direction verdict, at the standard of the model answer below, twice, on companies you have never formally studied.

Prerequisites & connections

Builds on. M2.03/M2.05: ROIC/ROCE built by hand, the ROIC−WACC spread, and the mean-reversion base rates (Mauboussin's transition matrices). The machinery of that mean reversion gets explained here, and reversion is not a statistical mist; it is capital arriving in trucks. M3.05: the reverse DCF, where you will read market-implied CAPs and ask whether the dashboard supports them. M3.07: ROIIC (ΔNOPAT ÷ ΔInvested Capital, 3–5-year windows) and the five uses of capital, because erosion signal 5 is ROIIC weaponized and the capital cycle is M3.07's capital-allocation report card written at industry scale. M3.10: mid-cycle normalization for cyclicals, since the capital cycle tells you where in the cycle you are normalizing from. M4.03: five forces and profit pools, because the capital cycle is the threat-of-entry force given a clock, and disruption is the substitute force given a mechanism. M4.04–M4.05: the four moat lenses, share-stability test, and CAP, all of which everything here assumes fluently and the capstone grades.

Feeds forward. Phase 5 lives on this module: the commodities module (M5.09) is applied capital-cycle analysis; SaaS (M5.04) applies the erosion dashboard to NRR; autos (M5.08) runs the EV transition as a live disruption audit. Phase 6 files both forces in the mental-model latticework (Munger: "show me the incentive"; the capital cycle is incentives at industry scale). Phase 8's teardown question 6 asks for moat and direction in ten minutes; the deep dive's Day 2 industry map ends with a cycle-position call. Phase 9's sell rules ("thesis broken") are triggered by exactly the tripwires you learn to write here.

The one-sentence version of this module. A moat verdict without a direction is half a verdict: the capital cycle tells you whether the industry's wall is about to be stormed by money, disruption theory tells you whether it is about to be bypassed by a different business model, the erosion dashboard tells you, in gross margins, churn, share, ROIC and ROIIC, whether the storming has already begun, and the capstone makes you prove you can run the whole machine twice.

4.1 Moats are movies, not photographs

Of firms in the top quintile of ROIC, only about half are still in the top two quintiles a decade later. That is Mauboussin's persistence data from M2.03, and it is the uncomfortable fact behind everything that follows. Now notice what it means for the work you did in M4.04–M4.05. A perfectly executed static moat analysis (correct source, confirmed in ten years of ROIC, share table stable) describes the past decade. The price you would pay today is a claim about the next decade. And the base rates say that for roughly half of apparently great businesses, the next decade breaks the pattern.