STRASMORE/EXPLORE 2,948 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 2026-10-02, from what-determines-an-option-price.

as of series 13×4read in context →
dividends — 13 rows by 4 columns, computed from US exchange, SIP and OPRA data.
ex_dateex_prettycash_amountannual_yield_pct
2023-08-11Aug 11, 20230.240.54
2023-11-10Nov 10, 20230.240.52
2024-02-09Feb 9, 20240.240.51
2024-05-10May 10, 20240.250.55
2024-08-12Aug 12, 20240.250.46
2024-11-08Nov 8, 20240.250.44
2025-02-10Feb 10, 20250.250.44
2025-05-12May 12, 20250.260.49
2025-08-11Aug 11, 20250.260.46
2025-11-10Nov 10, 20250.260.39
2026-02-09Feb 9, 20260.260.38
2026-05-11May 11, 20260.270.37
2026-08-10Aug 10, 20260.270.35
Rows × columns
13 × 4
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 2023-08-11 to 2026-08-10
ex_pretty text 13 distinct values (Aug 10, 2026, Aug 11, 2023, Aug 11, 2025…)
cash_amount number 0.24 to 0.27
annual_yield_pct number 0.35 to 0.55 percent

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(d.ex_dividend_date)                    AS ex_date,
    formatDateTime(d.ex_dividend_date, '%b %e, %Y') AS ex_pretty,
    round(toFloat64(any(d.cash_amount)), 4)         AS cash_amount,
    round(100 * any(d.frequency) * toFloat64(any(d.cash_amount)) / toFloat64(any(p.close)), 2) AS annual_yield_pct
FROM global_markets.stocks_dividends AS d
INNER JOIN
(
    SELECT
        date,
        close
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'AAPL'
      AND date >= toDate('2023-06-01')
) AS p ON p.date = d.ex_dividend_date
WHERE d.ticker = 'AAPL'
  AND d.ex_dividend_date >= toDate('2023-06-01')
  AND d.ex_dividend_date <= toDate('2026-09-30')
GROUP BY d.ex_dividend_date
ORDER BY d.ex_dividend_date ASC
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