STRASMORE/EXPLORE 2,985 QUERIES

dividends

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 2026-10-03, from covered-put-for-russian-investors.

as of series 15×3read in context →
dividends — 15 rows by 3 columns, computed from US exchange, SIP and OPRA data.
ex_dateex_date_prettyowed_per_100_shares
2023-02-1010.02.202323
2023-05-1212.05.202324
2023-08-1111.08.202324
2023-11-1010.11.202324
2024-02-0909.02.202424
2024-05-1010.05.202425
2024-08-1212.08.202425
2024-11-0808.11.202425
2025-02-1010.02.202525
2025-05-1212.05.202526
2025-08-1111.08.202526
2025-11-1010.11.202526
2026-02-0909.02.202626
2026-05-1111.05.202627
2026-08-1010.08.202627
Rows × columns
15 × 3
Period covered
to
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for dividends, derived from the stored result.
ColumnTypeRangeNotes
ex_date date 2023-02-10 to 2026-08-10
ex_date_pretty text 15 distinct values (08.11.2024, 09.02.2024, 09.02.2026…)
owed_per_100_shares number 23 to 27 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
    toString(ex_dividend_date)                   AS ex_date,
    formatDateTime(ex_dividend_date, '%d.%m.%Y') AS ex_date_pretty,
    round(toFloat64(max(cash_amount)) * 100, 2)  AS owed_per_100_shares
FROM global_markets.stocks_dividends
WHERE ticker = 'AAPL'
  AND ex_dividend_date >= '2023-01-01'
  AND ex_dividend_date <= today()
GROUP BY ex_dividend_date
ORDER BY ex_dividend_date ASC
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