Where reverse-split companies stood a year later (splits executed 12-18 months ago)
Answered against 22 years of US equities and 12 years of US options data and published with the query that produced it. This result is stored as of 2026-10-04, from What Is a Reverse Stock Split? Good or Bad?.
| outcome_one_year_on | companies | pct_of_cohort |
|---|---|---|
| Still trading, no second reverse split | 132 | 52.6 |
| Still trading, split again in reverse | 58 | 23.1 |
| Stopped printing trades | 61 | 24.3 |
- Rows × columns
- 3 × 3
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
outcome_one_year_on |
text | 3 distinct values | |
companies |
number | 58 to 132 | |
pct_of_cohort |
number | 23.1 to 52.6 | percent |
Computed from Strasmore's warehouse of US exchange, SIP and OPRA market data. Equity prices are delayed; options greeks and implied volatility are end-of-day. This result is stored, not recomputed on load — it is exactly the numbers that were returned on , and the query below is what returned them.
Run it yourself
This is the exact query behind the result above. Change a ticker, a date or a column and run it against the warehouse — no account, no key. The no-signup tier is smaller than the one this page was computed on; a query that reaches past it comes back saying which plan runs it.
WITH cohort AS (
SELECT ticker, min(execution_date) AS ex
FROM global_markets.stocks_splits
WHERE adjustment_type = 'reverse_split'
AND execution_date >= today() - INTERVAL 540 DAY
AND execution_date <= today() - INTERVAL 365 DAY
AND ticker != 'SPCX'
GROUP BY ticker
),
repeats AS (
SELECT c.ticker AS ticker, count() AS later_reverse_splits
FROM cohort AS c
INNER JOIN global_markets.stocks_splits AS s ON s.ticker = c.ticker
WHERE s.adjustment_type = 'reverse_split'
AND s.execution_date > c.ex
AND s.execution_date <= c.ex + INTERVAL 365 DAY
GROUP BY c.ticker
),
bars AS (
SELECT ticker, toDate(toTimeZone(window_start, 'America/New_York')) AS d
FROM global_markets.delayed_stocks_minute_aggs
WHERE ticker IN (SELECT ticker FROM cohort)
AND (
(window_start >= today() - INTERVAL 545 DAY AND window_start < today() - INTERVAL 360 DAY)
OR window_start >= today() - INTERVAL 45 DAY
)
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
GROUP BY ticker, d
),
status AS (
SELECT c.ticker AS ticker,
countIf(b.d < c.ex) AS pre_split_days,
countIf(b.d >= today() - 45) AS recent_days,
any(ifNull(r.later_reverse_splits, 0)) AS later_reverse
FROM cohort AS c
INNER JOIN bars AS b ON b.ticker = c.ticker
LEFT JOIN repeats AS r ON r.ticker = c.ticker
GROUP BY c.ticker
HAVING pre_split_days > 0
)
SELECT multiIf(recent_days = 0, 'Stopped printing trades',
later_reverse > 0, 'Still trading, split again in reverse',
'Still trading, no second reverse split') AS outcome_one_year_on,
count() AS companies,
round(100.0 * count() / sum(count()) OVER (), 1) AS pct_of_cohort
FROM status
GROUP BY outcome_one_year_on
ORDER BY indexOf(['Still trading, no second reverse split',
'Still trading, split again in reverse',
'Stopped printing trades'], outcome_one_year_on)
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