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Calendar days from ex-dividend date to record date, twenty large payers, by month

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 2026-09-26, from Buy on the Ex-Dividend Date: Do You Get Paid?.

as of series 40×5read in context →
Calendar days from ex-dividend date to record date, twenty large payers, by month — 40 rows by 5 columns, computed from US exchange, SIP and OPRA data.
monthmonth_labeldividend_countavg_calendar_days_ex_to_recordsame_day_pct
2023-06-01Jun 202341.50
2023-07-01Jul 202371.570
2023-08-01Aug 2023111.360
2023-09-01Sep 2023210
2023-10-01Oct 202361.50
2023-11-01Nov 2023121.170
2023-12-01Dec 2023210
2024-01-01Jan 202471.430
2024-02-01Feb 202491.560
2024-03-01Mar 2024410
2024-04-01Apr 202451.40
2024-05-01May 2024111.099.1
2024-06-01Jun 202440100
2024-07-01Jul 202470100
2024-08-01Aug 202490100
2024-09-01Sep 202440100
2024-10-01Oct 202460100
2024-11-01Nov 2024100.390
2024-12-01Dec 202440100
2025-01-01Jan 202570100
2025-02-01Feb 202570100
2025-03-01Mar 202560100
2025-04-01Apr 202560100
2025-05-01May 202590100
2025-06-01Jun 202550100
2025-07-01Jul 202570100
2025-08-01Aug 202580100
2025-09-01Sep 202550100
2025-10-01Oct 202560100
2025-11-01Nov 202580100
2025-12-01Dec 202560100
2026-01-01Jan 202670100
2026-02-01Feb 202670100
2026-03-01Mar 202660100
2026-04-01Apr 202650100
2026-05-01May 2026100100
2026-06-01Jun 202650100
2026-07-01Jul 202670100
2026-08-01Aug 202680100
2026-09-01Sep 202650100
Rows × columns
40 × 5
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 Calendar days from ex-dividend date to record date, twenty large payers, by month, derived from the stored result.
ColumnTypeRangeNotes
month date 2023-06-01 to 2026-09-01
month_label text 40 distinct values (Apr 2024, Apr 2025, Apr 2026…)
dividend_count number 2 to 12 count
avg_calendar_days_ex_to_record number 0 to 1.57
same_day_pct number 0 to 100 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(m)                                            AS month,
    formatDateTime(m, '%b %Y')                             AS month_label,
    count()                                                AS dividend_count,
    round(avg(dateDiff('day', ex_dt, rec_dt)), 2)          AS avg_calendar_days_ex_to_record,
    round(100 * countIf(rec_dt = ex_dt) / count(), 1)      AS same_day_pct
FROM
(
    SELECT
        toStartOfMonth(any(ex_dividend_date)) AS m,
        any(ex_dividend_date)                 AS ex_dt,
        any(record_date)                      AS rec_dt
    FROM global_markets.stocks_dividends
    WHERE ticker IN ('AAPL', 'MSFT', 'KO', 'JNJ', 'PG', 'PEP', 'JPM', 'XOM', 'CVX', 'HD',
                     'MCD', 'WMT', 'IBM', 'CSCO', 'VZ', 'MRK', 'PFE', 'ABBV', 'TXN', 'LLY')
      AND ex_dividend_date >= '2023-06-01'
      AND ex_dividend_date <  today()
    GROUP BY id
)
WHERE rec_dt >= ex_dt
GROUP BY m
ORDER BY m
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