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.
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.
How the two scorecards disagree
| Driver | Through-cycle | AI cycle | Why |
| Mid-cycle method | Winsorize (drop best+worst) | Peak-half (top half only) |
Bear assumes mean-reversion; bull assumes HBM puts a floor |
| Y1 revenue growth | 20% | 35% |
HBM ramp pulls forward more demand in bull case |
| Capex intensity | 25% | 32% |
Bull case requires higher capex to build HBM3/HBM4 capacity |
| LBO entry multiple | 8.0× | 11.0× |
Premium for AI optionality |
| Terminal growth | 2.5% | 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.