STRASMORE/EXPLORE 2,830 QUERIES

Apple's recent dividends: the four dates and where a T+1 purchase settles

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 8×12read in context →
Apple's recent dividends: the four dates and where a T+1 purchase settles — 8 rows by 12 columns, computed from US exchange, SIP and OPRA data.
ex_dateweekdaydeclared_labelex_labelrecord_labelpay_labelcash_amountdays_ex_to_recordlast_session_with_dividendbuy_on_ex_settlessettles_days_after_recorddays_record_to_pay
2026-08-10MondayJul 30, 2026Aug 10, 2026Mon, Aug 10Aug 130.270Fri, Aug 7Tue, Aug 1113
2026-05-11MondayApr 30, 2026May 11, 2026Mon, May 11May 140.270Fri, May 8Tue, May 1213
2026-02-09MondayJan 29, 2026Feb 9, 2026Mon, Feb 9Feb 120.260Fri, Feb 6Tue, Feb 1013
2025-11-10MondayOct 30, 2025Nov 10, 2025Mon, Nov 10Nov 130.260Fri, Nov 7Tue, Nov 1113
2025-08-11MondayJul 31, 2025Aug 11, 2025Mon, Aug 11Aug 140.260Fri, Aug 8Tue, Aug 1213
2025-05-12MondayMay 1, 2025May 12, 2025Mon, May 12May 150.260Fri, May 9Tue, May 1313
2025-02-10MondayJan 30, 2025Feb 10, 2025Mon, Feb 10Feb 130.250Fri, Feb 7Tue, Feb 1113
2024-11-08FridayOct 31, 2024Nov 8, 2024Mon, Nov 11Nov 140.253Thu, Nov 7Mon, Nov 1103
Rows × columns
8 × 12
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 Apple's recent dividends: the four dates and where a T+1 purchase settles, derived from the stored result.
ColumnTypeRangeNotes
ex_date date 2024-11-08 to 2026-08-10
weekday text 2 distinct values (Friday, Monday)
declared_label text 8 distinct values (Apr 30, 2026, Jan 29, 2026, Jan 30, 2025…)
ex_label text 8 distinct values (Aug 10, 2026, Aug 11, 2025, Feb 10, 2025…)
record_label text 8 distinct values (Mon, Aug 10, Mon, Aug 11, Mon, Feb 10…)
pay_label text 8 distinct values (Aug 13, Aug 14, Feb 12…)
cash_amount number 0.25 to 0.27
days_ex_to_record number 0 to 3
last_session_with_dividend text 8 distinct values (Fri, Aug 7, Fri, Aug 8, Fri, Feb 6…)
buy_on_ex_settles text 8 distinct values (Mon, Nov 11, Tue, Aug 11, Tue, Aug 12…)
settles_days_after_record number 0 to 1
days_record_to_pay number every row is 3

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_dt)                                    AS ex_date,
    formatDateTime(d.ex_dt, '%W')                        AS weekday,
    formatDateTime(d.decl_dt, '%b %e, %Y')               AS declared_label,
    formatDateTime(d.ex_dt, '%b %e, %Y')                 AS ex_label,
    formatDateTime(d.rec_dt, '%a, %b %e')                AS record_label,
    formatDateTime(d.pay_dt, '%b %e')                    AS pay_label,
    d.cash                                               AS cash_amount,
    dateDiff('day', d.ex_dt, d.rec_dt)                   AS days_ex_to_record,
    formatDateTime(px.prior_sess, '%a, %b %e')           AS last_session_with_dividend,
    formatDateTime(px.next_sess, '%a, %b %e')            AS buy_on_ex_settles,
    dateDiff('day', d.rec_dt, px.next_sess)              AS settles_days_after_record,
    dateDiff('day', d.rec_dt, d.pay_dt)                  AS days_record_to_pay
FROM
(
    SELECT
        any(ex_dividend_date)                 AS ex_dt,
        any(declaration_date)                 AS decl_dt,
        any(record_date)                      AS rec_dt,
        any(pay_date)                         AS pay_dt,
        round(toFloat64(any(cash_amount)), 4) AS cash
    FROM global_markets.stocks_dividends
    WHERE ticker = 'AAPL'
      AND ex_dividend_date >= '2024-06-01'
      AND ex_dividend_date <  today() - 3
    GROUP BY id
) AS d
INNER JOIN
(
    SELECT
        sess,
        lagInFrame(sess, 1)  OVER (ORDER BY sess ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS prior_sess,
        leadInFrame(sess, 1) OVER (ORDER BY sess ROWS BETWEEN UNBOUNDED PRECEDING AND UNBOUNDED FOLLOWING) AS next_sess
    FROM
    (
        SELECT date AS sess
        FROM global_markets.stocks_daily_aggs
        WHERE ticker = 'AAPL'
          AND date >= '2024-05-01'
          AND date <  today()
        GROUP BY date
    )
) AS px ON px.sess = d.ex_dt
WHERE px.next_sess > px.sess
  AND px.prior_sess >= toDate('2024-05-01')
ORDER BY d.ex_dt DESC
LIMIT 8
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More from this analysisBuy on the Ex-Dividend Date: Do You Get Paid?
Calendar days from ex-dividend date to record date, twenty large payers, by month series 40×5 → Ex-date open vs prior close, against the dividend as a share of price ranking 21×4 → Share of 2024 US dividends whose record date fell on the ex-dividend date series 12×3 → The T+1 cutover, week by week: share of dividends with ex-date = record date, April–July 2024 ranking 18×3 → Ex-date vs. record date by year: share identical, and the median gap in calendar days ranking 12×4 → From ex-dividend date to record date to the cash, in calendar days table 8×6 → See all 2,830 queries →