Practice · graded on a filing
Build it from NVDA’s latest annual filing. Every line you enter is checked by code against the filing.
Walk net income back up to EBITDA — add interest expense, then income tax expense, then depreciation and amortisation — and then reconcile the same figure the other way, from operating income. The two routes rarely land on the same number, and the last cell is the gap between them, which is where the non-operating items sit. Nothing is assumed: every figure in it is filed. Every figure you are given comes from NVDA’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 5 of 5 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 NVDA's model from the filed figures below (as of 2026-01-25). Derive each linked line to the dollar — the model must reconcile end to end.
NVIDIA CORP 10-K (FY2026, period ended 2026-01-25), accession 0001045810-26-000021, via SEC EDGAR
Educational use only — not investment advice.
Start at net income, add back interest expense, add back income tax expense, and you are at EBIT. Add depreciation and amortization and you are at EBITDA. Then check it from the other side: operating income plus D&A. Any gap between the two routes is non-operating items, like investment income or one-off gains.
Comes up inIB first-round technicalsModeling testCorporate finance interview
Net income, interest expense, income tax expense, depreciation and amortisation, and operating income, as filed. 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.