Research
Where value is migrating in US equities.
We rank the market by where profit is moving up the value chain — out of commodities, into pricing power — and prove it from the primary filing. Each read weights revealed behaviour (the say/do credibility ledger, execution, IP, governance) far above the baseline financials everyone already has.
Impersonal, general-circulation research. The United States is where we publish today — the same for every reader, traced to SEC filings, never personalized advice. Our India coverage stays education-only pending SEBI Research Analyst registration. See coverage & the regulatory basis and our disclosures. As of 2026-07-24.
How the book is organised
Names are grouped by theme rather than by sector, and the distinction is deliberate. A sector says what a company sells; a theme says what is pulling value up the chain underneath it — an expiring exclusivity that redistributes a market, an electrification build-out that turns a component into a system, a specification change that makes an ordinary material into a qualified one. Businesses that look unrelated on a screen often sit inside the same theme, and businesses in the same sector frequently do not share one at all.
Within a theme the ordering is by the evidence, not by conviction about what will happen next. A name near the top has more rungs of its chain evidenced and a longer record of delivered commitments behind it; a name lower down has a thinner file, which is a statement about how much has been proved rather than a prediction about how it ends. The forces behind the themes themselves are catalogued in the field guide, which works from the outside in.
Every entry carries an as-of date, because a read is only as current as the last filing that fed it. Between filings nothing moves: a company does not gain a rung because its share price rose, and it does not lose one because sentiment turned. That makes the book slower to change than a market view, which is the intended trade — the unit of work here is a disclosure, not a quarter.
Aerospace materials
Electrification
Life-science tools
Semiconductors
Specialty chemicals
Where we pass
Names the baseline can flatter — a commodity business at the top of its cycle looks like a compounder. The bridge adjudicates: these are not real up-the-value-chain migrations. Passing on the traps is as much the job as finding the movers.
PLANTED COMMODITY CONTROL — confirmed. Nucor's profitability is explicitly driven by 'metal margins' (spot steel price minus scrap cost), and earnings swing hard with the steel price cycle: net earnings $6.83B (FY21) -> $7.61B (FY22) -> $4.53B (FY23) -> $2.03B (FY24) -> $1.74B (FY25); OPM 25.7% -> 8.4%; ROCE 45.3% -> 8.8% over the same span. The company self-identifies as 'North America's most diversified steel producer' and cites 'the cyclical nature of the steel industry' as a top risk. The higher-value moves that exist (galvanized sheet, expandable-beam structural, tubular/NTS, DRI raw-material control, data-center demand) are incremental to a ~$32B commodity steel base and did not prevent margin compression in the fabricated steel-products segment in 2025. There is NO structural mix-shift up the value chain out of commodity steel — margins are a commodity price-cycle function. Ranks low by design.
TRIGGERED. MLI is a genuine commodity control and its FY2025 strength is a copper-price-cycle upswing, not a structural mix-shift up the value chain. Evidence: (1) 2025 revenue growth was ENTIRELY price/pass-through -- higher net selling prices +$336.9M with core unit VOLUMES DOWN -$212.0M; (2) copper averaged $4.81/lb in 2025 vs $4.22 (2024) and $3.86 (2023), and the filing states 'earnings and cash flow are dependent upon these spreads that fluctuate based upon market conditions'; (3) headline OPM 22.9% / ROCE 28.9% are near a copper-cycle peak and were flattered by ~$67M one-offs (tornado insurance +$41.1M, asset-disposal gains +$25.9M); (4) the company self-discloses NO IP moat -- 'not materially dependent on patents,' immaterial R&D -- and competes on price against imports/substitutes (plastics, aluminum). Baseline financials look strong precisely because of the commodity upcycle; this is the value-trap the bridge exists to catch. The model should rank MLI LOW.
TRIGGERED. WDC's FY2025 margin/ROCE surge (OPM 0.5%->2.0%->7.2%->12.7%->-8.8%->-6.4%->24.5% across FY2019-25; ROCE 27.2% FY2025 vs -2.2% FY2024) is a textbook storage-price/cycle upswing, not a structural mix-shift up the value chain. MD&A attributes the +51% revenue and +10.7pp gross-margin gain to a 29% ASP increase and cloud data-center demand recovering off the self-described FY2024 'supply-demand imbalance' trough; the Risk Factors concede 'variability in our sales and cyclicality in our industry.' The genuine higher-value angles (HAMR/UltraSMR areal-density leadership, AI mass-capacity demand) improve cost position and volumes but do NOT change the commodity character — WDC competes on lowest cost-per-TB in a two-supplier commodity duopoly, and it SPUN OFF (Sandisk, Feb 2025) the one business that was up the value chain. Peak-cycle earnings on a divested-up-chain, ~88%-Cloud-concentrated commodity HDD maker = planted commodity control; rank low.
The up-chain thesis is real in strategy but has failed in execution and is balance-sheet-impaired: $11B debt-funded M&M acquisition drove $1.1B goodwill + $346M trade-name impairments in FY2025 (following ~$1.6B in FY2024), a ~95% dividend cut, paused buybacks, $12.6B total debt not falling, and two straight years of operating losses. This is a value-migration story that so far destroyed value — treat as high-risk turnaround, not a validated up-chain compounder.
TRIGGERED (planted commodity control, confirmed by the filings). LYB's earnings are driven by the olefin/polyolefin and refining spread cycle, not a structural mix-shift up the value chain. The 10-K's first risk factor is industry 'cyclicality and volatility'; margins swung OPM 14.7% (2021) -> -1.4% (2025) and ROCE 22.9% -> -1.5% with the commodity cycle, culminating in a FY2025 net loss of $(738)M, a $1,182M impairment, deferred growth capex, and a ~50% dividend cut. Management itself concedes the 'commodity nature of many of our products' and competition 'based primarily on price'. The Circulen/MoReTec circularity move is a real but immaterial up-chain shoot (~15% of 2026 capex, MoReTec-1 not online until 2027, MoReTec-2 FID postponed) — nowhere near material enough to reclassify the business as a structural value-migrator. Must rank low.
Viatris is a commodity generics + established-brands price-taker. Its financial swings are driven by generic price erosion, tender systems, LOE, one-off divestiture gains/losses, a $2.94B goodwill impairment and a $370M FDA import-alert hit — NOT by a structural mix-shift up the value chain. Revenue has declined every year since 2021 ($17.81B -> $14.25B) and FY2025 OPM (-18.7%) / ROCE (-8.8%) are deeply negative. The stated 'higher-margin evolution' and innovative pipeline are too_early and immaterial vs the commodity base. Classic value-trap control — must rank low.
Using the book
How to read one of these pages.
Each company page is laid out so the score is the last thing you need rather than the first. If you read it top to bottom you will meet the evidence before the conclusion, which is the order in which it was actually assembled.
The credibility ledger
A list of promises this management team made, each with the date it was made and what happened afterwards: delivered, in progress, too early to tell, or missed. Read this before anything else. A team with a run of delivered commitments has earned the right to have its next statement taken at face value; a team with repeatedly slipped timelines has not, and the same forward-looking sentence should be weighted differently in the two cases.
The triangulation chain
Five rungs — stated, approved, funded, permitted, protected — each either evidenced or visibly empty. Empty rungs are the informative part. A transition sitting at rung two after several years is telling you something a summary paragraph would smooth over. The ladder itself is explained in this essay.
Margin and return history
Operating margin and return on capital across enough years to include a downturn, because the only thing that settles whether a margin gain is durable is watching it survive one. What you are looking for is a floor the company held while its old peer group did not — the test set out in structural versus cyclical margins.
The score, and what it is not
The number summarises the evidence above it on a fixed rubric so that names can be compared on a consistent basis. It is not a price target, a ranking of expected returns, or an instruction. Two companies with similar scores can deserve completely different treatment depending on what you already own and what you paid, and the page has no view on either.
What this book deliberately is not
It is not a portfolio, and the names are not weighted, sized, or intended to be held together. It is not timed: a business can be genuinely climbing the value chain and be a poor purchase today because the market has already paid for the climb — the machinery behind that delay is set out in why a re-rating lags. It contains no return claims, no price targets, and no performance history, because we have not been publishing long enough for any such figure to mean anything and inventing one would be worse than having none.
It is also a snapshot with a date on it. A read reflects the filings available when it was written, and a company that lights up a new rung next quarter will not be re-scored until the work is redone. Where a read has moved, the ledger shows the change rather than quietly replacing the old view. The traps this framework is built to avoid — divestment arithmetic, bought specialty, redrawn segments — are catalogued in five traps that look like a migration, and the reading order behind every entry is in how to read a 10-K for a migration signal.
Read the method behind every score.
Every number here traces to a dated filing sentence. See how the Analysis Bridge turns primary text into a migration read.