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Reverse splits executed Mar 2025 to Feb 2026, by consolidation ratio

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 2026-09-20, from What Happens After a Reverse Stock Split?.

as of ranking 5×3read in context →
Reverse splits executed Mar 2025 to Feb 2026, by consolidation ratio — 5 rows by 3 columns, computed from US exchange, SIP and OPRA data.
ratio_bucketreverse_split_countshare_pct
1-for-2 up to 1-for-523322.9
1-for-6 up to 1-for-1029128.6
1-for-11 up to 1-for-2523122.7
1-for-26 up to 1-for-5011010.8
steeper than 1-for-5015315
Rows × columns
5 × 3
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for Reverse splits executed Mar 2025 to Feb 2026, by consolidation ratio, derived from the stored result.
ColumnTypeRangeNotes
ratio_bucket text 5 distinct values
reverse_split_count number 110 to 291 count
share_pct number 10.8 to 28.6 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.

SELECT
    tupleElement(band, 1)                                                          AS ratio_bucket,
    countIf(ratio >= tupleElement(band, 2) AND ratio < tupleElement(band, 3))      AS reverse_split_count,
    round(100 * countIf(ratio >= tupleElement(band, 2) AND ratio < tupleElement(band, 3)) / count(), 1) AS share_pct
FROM
(
    SELECT
        ticker,
        toDate(execution_date)                              AS execution_date,
        max(toFloat64(split_from) / toFloat64(split_to))    AS ratio
    FROM global_markets.stocks_splits
    WHERE split_to < split_from
      AND toDate(execution_date) >= '2025-03-01'
      AND toDate(execution_date) <  '2026-03-01'
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker, execution_date
)
ARRAY JOIN
[
    ('1-for-2 up to 1-for-5',    1.0,   5.5),
    ('1-for-6 up to 1-for-10',   5.5,  10.5),
    ('1-for-11 up to 1-for-25', 10.5,  25.5),
    ('1-for-26 up to 1-for-50', 25.5,  50.5),
    ('steeper than 1-for-50',   50.5, 1.0e9)
] AS band
GROUP BY ratio_bucket
ORDER BY min(tupleElement(band, 2))
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