R3 · free executive summary
The Electricity Trade — Who Wins the Constraint?
Finnacl Research · September 2026 · The full report covers 12 core companies across five layers, 30 more names, eleven funds, two historical analogues built from the original filings, and a quarterly-scored early-warning scorecard.
The winners are whoever owns the things that take longest to build. The losers will be whoever builds against the forecast instead of the contract.
The binding constraint on the AI buildout is no longer chips — it is electricity, and specifically the sequence required to power a large new site: a grid connection (three to seven years in the main US hubs), the transformer between the grid and the rack (two and a half to five years), and the turbine or reactor behind it (five to seven years for heavy gas; every small reactor is 2030 or later). Money cannot compress any of that. So money is buying position in the queue instead — twenty-year nuclear contracts, paid turbine slot reservations, and gas plants built on site.
Three things follow.
Median forward earnings multiple by layer: contracted generation 12.9× · regulated utilities 18.0× · builders 26.1× · equipment 27.3× · nuclear fuel 66.5×. The closer a company sits to the electron, the cheaper it is. The generator selling twenty-year power to the best-capitalised buyers on earth trades at under 13 times earnings; the company taking reservations for turbines it will deliver in 2031 trades at 45.
In the 2001 merchant-power bust, General Electric's own annual reports show large gas turbine sales falling from 362 units to 122 in two years, with $1.5 billion of customer contract termination fees — while its orders rose in the first year of the decline. Order books break last. And Calpine's filing shows it cancelled 87 gas turbines and 44 steam turbines in a single quarter, releasing $3.4 billion of commitments for a $207 million charge: about six cents on the dollar. That is the historical price of walking away from what the industry now calls a slot reservation.
Eight markers, re-scored and published every quarter. Today: two red (the interconnection queue and equipment lead times — both supporting the thesis), one green (contracted power agreements), five amber. One has already moved against us: in August, Texas paused new data-centre development and the federal energy agency cut its Texas 2027 load-growth forecast from 14% to 6% — the first official downward revision of this cycle. We publish that rather than explain it away.
Over the past twelve months, the one fund concentrating the merchant-generation thesis this report finds cheapest lost 1.85% while the plain utility index gained 5.65%. Being right about the constraint has not yet been the same as being paid for it.
The lead-time ladder · the value-chain map · five constraint chapters with the numbers · 12 core-company profiles ordered by valuation layer · the two historical analogues in full · the fund purity analysis (one company sits in seven of eleven funds' top ten; the merchant thesis has almost no index sponsorship at all) · exposure routes by scenario · the client Q&A · full sourcing on every figure.
Disclosures. Impersonal research, identical for every purchaser and tailored to no one; not individualised advice, and Finnacl Research is not an investment adviser (publisher's exclusion, Advisers Act §202(a)(11)(D)). The tiers differ in seats and redistribution rights, not in content. No statement about what any reader should hold, no recommended allocation, no forecast. The author holds no position in any company covered in this report. No issuer payment, no advertising, no trading against published views, and no trade in any security named here in the thirty days before or after publication. Full disclosures in §13 of the report.