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?.
| ex_date | weekday | declared_label | ex_label | record_label | pay_label | cash_amount | days_ex_to_record | last_session_with_dividend | buy_on_ex_settles | settles_days_after_record | days_record_to_pay |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 2026-08-10 | Monday | Jul 30, 2026 | Aug 10, 2026 | Mon, Aug 10 | Aug 13 | 0.27 | 0 | Fri, Aug 7 | Tue, Aug 11 | 1 | 3 |
| 2026-05-11 | Monday | Apr 30, 2026 | May 11, 2026 | Mon, May 11 | May 14 | 0.27 | 0 | Fri, May 8 | Tue, May 12 | 1 | 3 |
| 2026-02-09 | Monday | Jan 29, 2026 | Feb 9, 2026 | Mon, Feb 9 | Feb 12 | 0.26 | 0 | Fri, Feb 6 | Tue, Feb 10 | 1 | 3 |
| 2025-11-10 | Monday | Oct 30, 2025 | Nov 10, 2025 | Mon, Nov 10 | Nov 13 | 0.26 | 0 | Fri, Nov 7 | Tue, Nov 11 | 1 | 3 |
| 2025-08-11 | Monday | Jul 31, 2025 | Aug 11, 2025 | Mon, Aug 11 | Aug 14 | 0.26 | 0 | Fri, Aug 8 | Tue, Aug 12 | 1 | 3 |
| 2025-05-12 | Monday | May 1, 2025 | May 12, 2025 | Mon, May 12 | May 15 | 0.26 | 0 | Fri, May 9 | Tue, May 13 | 1 | 3 |
| 2025-02-10 | Monday | Jan 30, 2025 | Feb 10, 2025 | Mon, Feb 10 | Feb 13 | 0.25 | 0 | Fri, Feb 7 | Tue, Feb 11 | 1 | 3 |
| 2024-11-08 | Friday | Oct 31, 2024 | Nov 8, 2024 | Mon, Nov 11 | Nov 14 | 0.25 | 3 | Thu, Nov 7 | Mon, Nov 11 | 0 | 3 |
- 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
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
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
Arbeiten Sie mit diesen Daten in Ihrem KI-Assistenten
Öffnet sich abfragebereit, mit den Daten dieser Seite. Kostenlos, ohne Konto.