recent_reverse
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 2026-09-29, from recent-reverse-stock-splits.
| ticker | effective_on | ratio_label | shares_left_per_100 |
|---|---|---|---|
| AGRZ | Sep 29, 2026 | 1-for-20 | 5 |
| CDT | Sep 29, 2026 | 1-for-25 | 4 |
| ONMD | Sep 29, 2026 | 1-for-10 | 10 |
| TRUG | Sep 29, 2026 | 1-for-10 | 10 |
| VRME | Sep 29, 2026 | 1-for-10 | 10 |
| ABEPF | Sep 28, 2026 | 1-for-15 | 6.67 |
| BTLN | Sep 28, 2026 | 1-for-8 | 12.5 |
| CTNT | Sep 28, 2026 | 1-for-150 | 0.67 |
| DCX | Sep 28, 2026 | 1-for-160 | 0.62 |
| DLXY | Sep 28, 2026 | 1-for-5 | 20 |
| FBGL | Sep 28, 2026 | 1-for-10 | 10 |
| GMEX | Sep 28, 2026 | 1-for-9 | 11.11 |
| IMMP | Sep 28, 2026 | 1-for-20 | 5 |
| MTNB | Sep 28, 2026 | 1-for-15 | 6.67 |
| FRSAF | Sep 25, 2026 | 1-for-20 | 5 |
- Rows × columns
- 15 × 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 |
|---|---|---|---|
ticker |
text | 15 distinct values (ABEPF, AGRZ, BTLN…) | |
effective_on |
text | 3 distinct values (Sep 25, 2026, Sep 28, 2026, Sep 29, 2026) | |
ratio_label |
text | 9 distinct values (1-for-10, 1-for-15, 1-for-150…) | |
shares_left_per_100 |
number | 0.62 to 20 | count |
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
ticker,
formatDateTime(execution_date, '%b %e, %Y') AS effective_on,
concat(
toString(toUInt32(any(split_to))),
'-for-',
toString(toUInt32(any(split_from)))
) AS ratio_label,
round(100 * any(split_to) / any(split_from), 2) AS shares_left_per_100
FROM global_markets.stocks_splits
WHERE execution_date >= today() - 90
AND execution_date <= today()
AND split_from > split_to
AND ticker NOT IN ('SPCX')
GROUP BY ticker, execution_date
ORDER BY execution_date DESC, ticker ASC
LIMIT 15
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.