Apple dividend cycles: declared, ex-date, record, paid
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 2026-10-05, from US Dividend Frequency: Quarterly vs Japan.
| ex_date | declared_label | ex_date_label | record_label | pay_label | cash_per_share_usd | ex_to_pay_gap |
|---|---|---|---|---|---|---|
| 2024-11-08 | Oct 31, 2024 | Nov 8, 2024 | Nov 11 | Nov 14 | 0.25 | 6 days |
| 2025-02-10 | Jan 30, 2025 | Feb 10, 2025 | Feb 10 | Feb 13 | 0.25 | 3 days |
| 2025-05-12 | May 1, 2025 | May 12, 2025 | May 12 | May 15 | 0.26 | 3 days |
| 2025-08-11 | Jul 31, 2025 | Aug 11, 2025 | Aug 11 | Aug 14 | 0.26 | 3 days |
| 2025-11-10 | Oct 30, 2025 | Nov 10, 2025 | Nov 10 | Nov 13 | 0.26 | 3 days |
| 2026-02-09 | Jan 29, 2026 | Feb 9, 2026 | Feb 9 | Feb 12 | 0.26 | 3 days |
| 2026-05-11 | Apr 30, 2026 | May 11, 2026 | May 11 | May 14 | 0.27 | 3 days |
| 2026-08-10 | Jul 30, 2026 | Aug 10, 2026 | Aug 10 | Aug 13 | 0.27 | 3 days |
- Rows × columns
- 8 × 7
- 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 | |
declared_label |
text | 8 distinct values (Apr 30, 2026, Jan 29, 2026, Jan 30, 2025…) | |
ex_date_label |
text | 8 distinct values (Aug 10, 2026, Aug 11, 2025, Feb 10, 2025…) | |
record_label |
text | 8 distinct values (Aug 10, Aug 11, Feb 10…) | |
pay_label |
text | 8 distinct values (Aug 13, Aug 14, Feb 12…) | |
cash_per_share_usd |
number | 0.25 to 0.27 | US dollars |
ex_to_pay_gap |
text | 2 distinct values (3 days, 6 days) |
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(any(declaration_date), '%b %e, %Y') AS declared_label,
formatDateTime(ex_dividend_date, '%b %e, %Y') AS ex_date_label,
formatDateTime(any(record_date), '%b %e') AS record_label,
formatDateTime(any(pay_date), '%b %e') AS pay_label,
max(cash_amount) AS cash_per_share_usd,
concat(toString(dateDiff('day', ex_dividend_date, any(pay_date))), ' days') AS ex_to_pay_gap
FROM global_markets.stocks_dividends
WHERE ticker = 'AAPL'
AND ex_dividend_date >= today() - 760
AND ex_dividend_date < today()
GROUP BY ex_dividend_date
ORDER BY ex_dividend_date
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.