Toolkit · Worked examples

Worked examples — cyclical names, side-by-side scorecards.

Each name ships in two flavors so methodology disagreement is explicit. Through-cycle uses winsorized 5y mid-cycle margin (drops the trough outlier); AI/expansion-cycle uses peak-half average (assumes the current expansion is structurally different). The spread between them IS the recommendation.

Micron Technology (MU) — Through-cycle

Memory / Semiconductors · Sector scorecard: semiconductors · method: winsorize

The bear/skeptic case. 5y mid-cycle EBITDA margin computed by dropping the FY23 trough AND the FY21 peak before averaging. Treats the AI demand ramp as another up-cycle that mean-reverts. Assumes 8x exit multiple. Ships with reverse-DCF showing what perpetual growth rate today's price requires.

Cycle phase
Near peak
Mid-cycle margin
~42%
Tabs
17
Methodology
Winsorize

Micron Technology (MU) — AI / HBM cycle

Memory / Semiconductors · Sector scorecard: semiconductors_ai_cycle · method: peak_half

The structural-shift case. 5y mid-cycle margin uses ONLY the upper half of years (assumes HBM long-term agreements put a floor under memory margins that didn't exist in prior cycles). Faster Y1-Y3 revenue ramp, higher capex intensity (HBM3/HBM4 capacity build), 11x premium entry multiple for the AI exposure. WARNING in the workbook: becomes wrong if HBM commoditizes.

Cycle phase
Near peak
Margin floor
~46%
Tabs
17
Methodology
Peak-half

How the two scorecards disagree

DriverThrough-cycleAI cycleWhy
Mid-cycle methodWinsorize (drop best+worst)Peak-half (top half only) Bear assumes mean-reversion; bull assumes HBM puts a floor
Y1 revenue growth20%35% HBM ramp pulls forward more demand in bull case
Capex intensity25%32% Bull case requires higher capex to build HBM3/HBM4 capacity
LBO entry multiple8.0×11.0× Premium for AI optionality
Terminal growth2.5%3.0% Bull assumes longer secular tailwind

Forthcoming examples. XOM (energy), NVDA (semis hyperscaler), and a tier-list of integrated oils (XOM/CVX/COP/SHEL/BP) on capital-allocation discipline are queued. Each will ship as paired through-cycle / expansion workbooks.

Want a worked example for a specific ticker? Request the pipeline and I'll generate it. Or run it yourself.