corporate_actions
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 2026-09-28, from how-often-mutual-funds-change-holdings.
| month | stock_splits | new_listings |
|---|---|---|
| 2025-08 | 115 | 27 |
| 2025-09 | 150 | 32 |
| 2025-10 | 120 | 41 |
| 2025-11 | 99 | 24 |
| 2025-12 | 177 | 31 |
| 2026-01 | 90 | 36 |
| 2026-02 | 113 | 47 |
| 2026-03 | 191 | 17 |
| 2026-04 | 129 | 30 |
| 2026-05 | 142 | 40 |
| 2026-06 | 162 | 35 |
| 2026-07 | 164 | 34 |
| 2026-08 | 124 | 24 |
- Rows × columns
- 13 × 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 |
|---|---|---|---|
month |
text | 13 distinct values (2025-08, 2025-09, 2025-10…) | |
stock_splits |
number | 90 to 191 | |
new_listings |
number | 17 to 47 |
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
month,
sumIf(events, kind = 'split') AS stock_splits,
sumIf(events, kind = 'new_listing') AS new_listings
FROM
(
SELECT
formatDateTime(execution_date, '%Y-%m') AS month,
'split' AS kind,
countDistinct(ticker) AS events
FROM global_markets.stocks_splits
WHERE execution_date >= toStartOfMonth(today() - 400)
AND execution_date < toStartOfMonth(today())
GROUP BY month
UNION ALL
SELECT
formatDateTime(listing_date, '%Y-%m') AS month,
'new_listing' AS kind,
countDistinct(ticker) AS events
FROM global_markets.stocks_ipos
WHERE listing_date >= toStartOfMonth(today() - 400)
AND listing_date < toStartOfMonth(today())
GROUP BY month
)
GROUP BY month
ORDER BY month
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