The skeptical analyst's read

We don't predict.
We surface what to question.

A transparent, descriptive read on a company's fundamentals, drawn straight from its filings and looked at through three independent lenses.

The Filter Lab

Three lenses

One company, seen three ways

Three independent lenses, each anchored to the company's own words.

01

Structural dynamics

How the company's structure is changing over time.

02

Traditional fundamentals

The financial signals analysts already trust.

03

Forensic accounting

Where the reported numbers deserve a closer look.

Converge a consistent story. Disagree the question worth asking.
2,700+
U.S. companies analyzed
3
independent lenses
100%
sourced from EDGAR filings
Nightly
data refresh

From thousands of companies to the few worth understanding.

The workflow

Three steps, start to monitor

Find it

Screener

Analyze it

Analyzer

Monitor it

Watchlist

What you actually get

Research, ready to use

One company, one view

Everything that matters about a company, organized into a single comparable research view.

Evidence, not assertions

Anchored to the company's own words. Verified directly from EDGAR, with no paraphrase and nothing invented.

For your AI tool

Structured intelligence, ready before it ever reaches ChatGPT, Claude, or your own workflow. Every figure sourced, nothing to rebuild.

The read, in plain English

A skeptical, descriptive narrative of what the numbers show. What's worth questioning, never what to do.

Original research

What we measured lately

One in ten: when the balance sheet actually matters

Across 1,208,117 company-months of US listings from 1998 to 2024, including three crisis periods, companies with the weakest balance sheets went bankrupt within two years 5.467% of the time against 0.570% for the strongest — nine and a half times more often, and six times once company size is held fixed, with confidence intervals that do not overlap either way. But the effect only exists once the share price is already moving. In the calmest companies the balance sheet carries no bankruptcy information at all.

August 18, 2026

Quality means calm. Most of that is size.

We tested twelve measures of company quality against how much a stock moves, on 2,662 US-listed companies. Ten looked like they worked. Then we ran the same test inside market-capitalisation deciles and every one of them moved toward no effect. This measures the range of companies' movement, not their direction.

August 13, 2026

Wrecks and Rockets: the same reading, opposite ends

Across 1,279,541 company-months of US listings, companies with both a turbulent share price and a weak balance sheet typically lost 31.0% over the following two years. The same group ran to five times its value more often than any other group in the study. This measures the range of companies' movement, not their direction.

August 11, 2026

All studies, with method and data

For data publishers

We check other people's numbers too

If your company publishes fundamentals, whether as a data feed, an API or a screen your users read, the same method is available as a paid engagement. Send a sample of your published output and get back a written report naming each disagreement with the source filing, the arithmetic behind it, and the field-level pattern that produced it. Private diligence, delivered to you, never published.

How the data quality review works

See it

A real company analysis

thefilterlab.app/ticker/…/deep-dive
Structural
Widening variance
Traditional
Mixed signals
Forensic
Clean

Illustrative preview. Open a live analysis →

No black box. Every number traces back to the public filing it came from.

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