Collect and review
Bring together dated company filings, financial statements, yield curves and market candles. Review accounting classifications, source coverage and corporate actions before treating inputs as comparable.
A framework for equity researchUnderstand the business.
Understand the business.
Explore its value.
EVA brings company financials, market history and explicit valuation assumptions into one research workspace. Compare what a business may be worth with how its shares have traded.
From source data to a saved valuation.
Model Labs follows a deliberate workflow. Data collection, accounting review, assumptions and calculation remain distinct steps.
Make the drivers explicit
Set the revenue, profitability, reinvestment and discount-rate assumptions used in the valuation. Dated assumption schedules let research change through time without hiding the inputs.
Discount future cash flows
Estimate operating cash flows and a terminal value, discount them to the valuation date, then bridge enterprise value to equity value per share using the model’s capital and share inputs.
Inside the workspacePrice and valuation,
Price and valuation,
in the same view.
Explore candles, inspect saved model outputs and compare research scenarios with observed market prices.
Open the workspace →Market price ÷ intrinsic value
EVA’s Mi ratio compares observed share price with the model’s DCF value per share. It is a research measure whose interpretation depends on the assumptions and input quality.
Optional AI assistance
Local AI recipes can assist with statement review and assumption research. Source checks, explicit uncertainty and review steps remain part of the workflow; AI output is not treated as a reported fact.
Reproducible saved results
Named runs preserve settings and frozen inputs so a finished result can be revisited alongside its source context and coverage gaps.
A model is a scenario, not a promise.
Historical reconstructions are calculated today using dated evidence and chosen assumptions. They are not forecasts actually published on those historical dates. Missing evidence can leave gaps. Future-price scenarios are not guaranteed outcomes, and model outputs are research tools rather than investment advice.
Workspace access is by invitation. Existing users can log in with their approved identity and EVA account.