The Financial Web is Broken.

Why I built a transparent, 10-year valuation engine.

Retail and institutional investors are currently caught in a trap. On one side, legacy terminals charge exorbitant monthly fees just to access raw SEC data. On the other side, modern “AI-powered” finance sites use Large Language Models to summarize 10-Ks, frequently hallucinating historical metrics and failing at basic stock-split math.

I wanted to calculate 10-year Yield on Retained, analyze Benjamin Graham’s Margin of Safety, and export clean financial models without trapping my data in a browser window. I couldn’t find a tool that prioritized raw filings and mathematical transparency over AI summaries.

So, I built Intrinsic Terminal.

The Philosophy

1. Factual Foundations: We do not use Generative AI to guess your financial metrics. Our engine parses numbers directly from SEC EDGAR filings using strict logical rules. While no dataset is immune to edge cases, our priority is raw transparency—you are looking at the math, not a prompt output.
2. Focus on the Decade: A single year’s P/E ratio is noise. We process up to 10 years of historical data to uncover true compounding engines and expose historical earnings contractions.
3. Your Data is Yours: Analysts live in Excel. Our premium tier gives you frictionless, in-memory CSV exports so you can drop the raw data straight into your own financial models.

Intrinsic Terminal is built for disciples of Benjamin Graham, Thomas Phelps, and strict intrinsic value.