monthly_calendar
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 2026-09-23, from what-is-income.
| month | companies_going_ex | payments_scheduled | month_label |
|---|---|---|---|
| 2025-09-01 | 4736 | 4941 | Sep 2025 |
| 2025-10-01 | 2835 | 3203 | Oct 2025 |
| 2025-11-01 | 3283 | 3687 | Nov 2025 |
| 2025-12-01 | 6243 | 7413 | Dec 2025 |
| 2026-01-01 | 2023 | 2541 | Jan 2026 |
| 2026-02-01 | 3078 | 3534 | Feb 2026 |
| 2026-03-01 | 6121 | 6668 | Mar 2026 |
| 2026-04-01 | 3305 | 3873 | Apr 2026 |
| 2026-05-01 | 4160 | 4734 | May 2026 |
| 2026-06-01 | 5995 | 6582 | Jun 2026 |
| 2026-07-01 | 3172 | 3818 | Jul 2026 |
| 2026-08-01 | 3685 | 4257 | Aug 2026 |
- Rows × columns
- 12 × 4
- Period covered
- to
- 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 |
date | 2025-09-01 to 2026-08-01 | |
companies_going_ex |
number | 2,023 to 6,243 | |
payments_scheduled |
number | 2,541 to 7,413 | |
month_label |
text | 12 distinct values (Apr 2026, Aug 2026, Dec 2025…) |
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
toString(month_start) AS month,
uniqExact(ticker) AS companies_going_ex,
uniqExact((ticker, ex_dividend_date)) AS payments_scheduled,
formatDateTime(month_start, '%b %Y') AS month_label
FROM
(
SELECT
toStartOfMonth(ex_dividend_date) AS month_start,
ticker,
ex_dividend_date
FROM global_markets.stocks_dividends
WHERE ex_dividend_date >= toStartOfMonth(today() - 365)
AND ex_dividend_date < toStartOfMonth(today())
)
GROUP BY month_start
ORDER BY month_start
Use dis data for your AI assistant
E go open ready to query, with dis page data. Free, no account.