The Warning Signs Before Bankruptcy — 792 U.S. Cases Since 2005
We examined every mandatory filing by listed U.S. companies since 2005 to find out which warning sign was visible, and how long before the…
Thomas Mücke 14 min
Minnow Street
Studies
A study does not start with one company but with all of them. We run the numbers on entire stock universes — including the companies that no longer exist — and publish every figure together with how it was calculated.
What goes into every analysis
1994
How far back the mandatory filings we read reach — all of them, not a selection by prominence.
100%
of the population instead of a sample. Companies that no longer exist stay in the calculation.
2×
every key figure is computed: once while building the study, once with an explicit brief to refute it.
openly
we publish the result even when it contradicts our own expectation — including the limits of the method.
The Ten-Baggers: 126 U.S. stocks that rose elevenfold — and what they had in common beforehand
We ran the numbers on 50,545 U.S. stocks across 14 years of trading — including the 32,371 that no longer exist. 126 of them…
Thomas Mücke 18 min
What makes a study here
The full universe
No selection, no index sample. We run every security that traded during the period under review.
Including the vanished
Companies that went bankrupt or were acquired stay in. Counting only stocks you can buy today produces a flattering picture.
Always with a control group
A finding about winners is worthless without a counter-check. Every study puts a comparable group that did not make it next to the hit list.
Every figure sourced
Metrics come from original regulatory filings, every individual case from named sources. What cannot be substantiated is removed.
Open methodology
Universe, hurdles, exclusions and limitations are in the text — not in the fine print.
The uncomfortable half too
We show not only who won but what happened afterwards. That is the part most compilations leave out.
What we are working on
The next studies are in preparation. If you have a question that data can answer, write to us — the best studies grow out of concrete questions.