Practice · graded on a filing
Build it from AMZN’s latest annual filing. Every line you enter is checked by code against the filing.
Derive an effective tax rate from the filed tax figures, cost the filed debt and tax-affect it, cost the equity by CAPM from a stated risk-free rate, beta and premium, weight the two by the filed debt and a stated equity market value, and blend them into a weighted average cost of capital. Every cell is a percentage; the model stops at the rate and is never applied to a company's cash flows here. Every figure you are given comes from AMZN’s latest annual filing and is cited below; the assumptions are handed to you and are never graded. Nothing here is a view on the company.
Match the AI
An AI model worked this exact drill and got 6 of 6 lines right. Match it.
Claude Sonnet 5, given the same filed figures and stated assumptions you see, scored by the same grader. One run, on 2026-09-28, not retried. It does arithmetic on this filing only and never forms a view on the company.
Reconcile AMZN's model from the filed figures below (as of 2025-12-31). Derive each linked line in the unit its label names — the model must reconcile end to end.
AMAZON COM INC 10-K (FY2025, period ended 2025-12-31), accession 0001018724-26-000004, via SEC EDGAR
Educational use only — not investment advice.
Weight the after-tax cost of debt and the cost of equity by their shares of total capital at market value. Cost of debt is interest over debt, times one minus the tax rate, because interest is deductible. Cost of equity comes from CAPM: the risk-free rate plus beta times the equity risk premium.
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Interest expense, income tax expense, pre-tax income, both filed debt lines and book equity, as filed in the latest annual report. The equity market value is a stated figure, not a filed one — a market value needs a price, and this page displays none. Each cell is checked against the value the same pipeline derives from that filing, inside a small tolerance band, and the model has to reconcile end to end. There is no language model in the grade — it is arithmetic over filed figures, so it returns the same verdict every time. The correct values are not in this page: they are recomputed on the server when you submit, and your entries are read as a submission, never as the answer.
Every attempt ends in a review. Each line is marked Best, Inaccuracy, Mistake or Blunder by how far it is off, and the first line that went wrong is flagged, so an error carried through the rest of the model is fixed once, where it started.
Signed out, nothing is recorded: work it as many times as you like. Signed in, each graded attempt is saved to your account so your dashboard can track it.
Each one is built from that company's own annual filing and graded the same way.
Educational use only — not investment advice. Figures come from public SEC filings; Echelon teaches you to analyze data, it never recommends buying or selling any security.