splits_monthly
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 us-stock-splits-for-taiwan-investors.
| month | month_label | forward_splits | reverse_splits |
|---|---|---|---|
| 2026-01 | 1月 | 21 | 69 |
| 2026-02 | 2月 | 24 | 89 |
| 2026-03 | 3月 | 56 | 135 |
| 2026-04 | 4月 | 32 | 97 |
| 2026-05 | 5月 | 40 | 102 |
| 2026-06 | 6月 | 58 | 104 |
| 2026-07 | 7月 | 45 | 119 |
| 2026-08 | 8月 | 20 | 104 |
| 2026-09 | 9月 | 58 | 107 |
| 2026-10 | 10月 | 18 | 33 |
| 2026-11 | 11月 | 7 | 0 |
| 2026-12 | 12月 | 0 | 1 |
- Rows × columns
- 12 × 4
- 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 |
|---|---|---|---|
month |
text | 12 distinct values (2026-01, 2026-02, 2026-03…) | |
month_label |
text | 12 distinct values (10月, 11月, 12月…) | |
forward_splits |
number | 0 to 58 | |
reverse_splits |
number | 0 to 135 |
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
formatDateTime(execution_date, '%Y-%m') AS month,
concat(toString(toMonth(execution_date)), '月') AS month_label,
countDistinctIf(ticker, split_to > split_from) AS forward_splits,
countDistinctIf(ticker, split_to < split_from) AS reverse_splits
FROM global_markets.stocks_splits
WHERE execution_date >= '2026-01-01'
AND execution_date < '2027-01-01'
AND ticker NOT IN ('SPCX')
GROUP BY month, month_label
ORDER BY month
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