See what the fundamentals really say
FinEL standardizes financial data across 14,000+ public companies. Our intuitive platform lets you compare companies, sectors, industries, or custom cohorts with ease. Institutional-grade financial analysis, built for real investment decisions, accessible to everyone.
Join the Private BetaCurrently in private beta · Launching soon
Financial data is broken
Every company reports differently. Line items don't align, and even with XBRL, financials aren't truly comparable. You can't place two statements side by side and draw clean conclusions when the numbers aren't speaking the same language. Building comp tables or screening stocks by your preferred metric shouldn't require a $20K terminal.
We fix it
FinEL's proprietary classification engine normalizes every SEC filing, mapping reported line items into a consistent financial structure. The result is standardized, decision-ready data that lets analysts compare companies directly, identify true performance differences, and build more robust valuation models — regardless of how each company reports.
Built for real analysis
Cross-Company Analysis
Compare normalized financials across any set of companies — even across industries — on a true like-for-like basis.
Industry Benchmarks
Benchmark companies against sector or industry averages. Create your own custom peer group. Instantly spot outliers and understand competitive positioning.
Explorer AI
Ask questions in natural language, backed by validated financial data. Instantly generate custom reports. Surface insights without digging through filings.
How it works
We ingest SEC filings
10-Ks and 10-Qs are parsed, classified, and validated against accounting standards.
Normalize to a common schema
Our classification model maps every line item to a standardized financial structure.
You compare anything
Compare ratios, margins, and returns across any set of companies on a consistent basis.
Terminal-grade data.
Without the terminal price.
Until now, normalized cross-company financial data has been locked behind Bloomberg, Capital IQ, and FactSet — often costing $20,000+ per year. FinEL delivers comparable analytical depth at a fraction of the cost, built for investors and analysts who need institutional-quality data without institutional overhead.
Frequently Asked Questions
What does it mean to normalize financial data?
Every public company reports financials differently — using different line-item names, groupings, and labels. Normalization maps each filing into a common, concept-driven structure, so items like "Cost of Revenue" at Apple and "Cost of Sales" at Microsoft become directly comparable. This standardization makes true cross-company analysis possible.
How is FinEL different from Yahoo Finance or Google Finance?
Most free financial sites display raw, as-reported numbers and often rely on the same third-party data feeds. You can review one company at a time, but meaningful cross-company comparisons are limited because the data isn't standardized. FinEL builds and maintains its own dataset directly from SEC filings, normalizing each report into a unified financial structure. The result is truly comparable margins, ratios, and returns across any set of companies — even across different industries.
How does FinEL compare to Bloomberg Terminal or Capital IQ?
Bloomberg, Capital IQ, and FactSet offer normalized financial data — but at $20,000+ per year, they're designed for institutions. FinEL delivers comparable depth of cross-company analysis at a fraction of the cost, built specifically for individual investors, independent analysts, and small teams who need institutional-quality data without the institutional price tag.
Where does FinEL's financial data come from?
All data is sourced directly from SEC EDGAR filings — 10-K annual reports and 10-Q quarterly reports for more than 14,000 publicly traded U.S. companies. Each filing is parsed, classified using our proprietary models, and validated against GAAP-based accounting logic before being added to our database.
Can I compare companies across different industries?
Yes — that's a core feature of FinEL. Because financials are normalized to a common schema, you can compare performance metrics across companies even when they operate in entirely different sectors. While some metrics are naturally more meaningful in certain industries than others, the standardized structure makes cross-industry analysis possible — whether you're comparing Apple's operating margins to Walmart's or benchmarking Nvidia against Pfizer. You can also reference SIC-based industry averages to evaluate how a company performs relative to its sector peers.
What types of financial analysis can I do with FinEL?
FinEL supports a wide range of analysis, including profitability metrics (gross, operating, and net margins), return measures (ROE, ROA, ROIC), liquidity and solvency ratios, DuPont decomposition, and activity ratios — all normalized for true cross-company comparability. You can build comp tables, screen using custom financial criteria, analyze performance trends across multiple fiscal years, and apply valuation methodologies such as discounted cash flow (DCF), multiple-based comps, and earnings power value (EPV) analysis.
Get Early Access
We're in private beta. Join the waitlist and we'll reach out when your spot opens.