Reverse split ratios since 2016, by how often each one is used
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 2026-10-06, from Reverse Split: Round Up or Cash in Lieu?.
| label | splits |
|---|---|
| 1-for-10 | 1718 |
| 1-for-5 | 684 |
| 1-for-20 | 663 |
| 1-for-4 | 453 |
| 1-for-2 | 385 |
| 1-for-3 | 343 |
| 1-for-100 | 337 |
| 1-for-15 | 318 |
| 1-for-25 | 261 |
| 1-for-50 | 235 |
| 1-for-8 | 227 |
| 1-for-30 | 213 |
- Rows × columns
- 12 × 2
- 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 |
|---|---|---|---|
label |
text | 12 distinct values (1-for-10, 1-for-100, 1-for-15…) | |
splits |
number | 213 to 1,718 |
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
concat('1-for-', toString(toUInt32(round(toFloat64(split_from) / toFloat64(split_to))))) AS label,
count() AS splits
FROM global_markets.stocks_splits
WHERE split_from > split_to
AND toFloat64(split_from) / toFloat64(split_to) >= 2
AND execution_date >= '2016-01-01'
AND execution_date <= today()
GROUP BY label
ORDER BY splits DESC
LIMIT 12
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