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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 2026-08-22, from What Is a Reverse Stock Split? Good or Bad?.

as of ranking 3×3read in context →
Where reverse-split companies stood a year later (splits executed 12-18 months ago) — 3 rows by 3 columns, computed from US exchange, SIP and OPRA data.
outcome_one_year_oncompaniespct_of_cohort
Still trading, no second reverse split12349.4
Still trading, split again in reverse6325.3
Stopped printing trades6325.3
Rows × columns
3 × 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 Where reverse-split companies stood a year later (splits executed 12-18 months ago), derived from the stored result.
ColumnTypeRangeNotes
outcome_one_year_on text 3 distinct values
companies number 63 to 123
pct_of_cohort number 25.3 to 49.4 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.

the exact SQL behind every number
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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