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Select a listed company, turn its financial statements into a discounted cash flow model, adjust the assumptions, and examine how the estimated value changes.
A free registered account and sign-in are required to use the complete application.
A transparent workflow keeps source data, assumptions, calculations, and research distinct.
Search listed companies and load available prices, income statements, cash flows, balance sheets, and company information.
Review the operating model, valuation bridge, terminal value, implied price, and sensitivity table before changing inputs.
Use current public research to propose bear, base, and bull assumptions, then compare them with your own model edits.
Tools for understanding valuation mechanics rather than hiding them behind a single target price.
Trace revenue, margins, taxes, reinvestment, cash flow, discounting, and equity value across historical and forecast periods.
Change growth, margins, cash conversion, WACC, terminal growth, forecast length, and the terminal-value method.
See how the estimated value per share responds to combinations of discount rates and long-term growth assumptions.
Use the complete valuation workflow in English or German with locale-aware numbers, currencies, percentages, and dates.
Short answers about AI Financial Models.
Yes. The landing page is public, but registration and sign-in are required for company data, valuations, and AI-assisted research.
No. It is a model result driven by uncertain inputs. It can differ materially from market prices and future outcomes.
The application reads available instrument, price, financial-statement, and company data from the QUINETICS financial database. Coverage and freshness can vary.
It summarizes current sources and proposes bounded scenario assumptions. Treat the output as research material and verify sources independently.