aapl_ex_vs_record
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 2026-11-01, from cum-date-vs-ex-date.
| ex_date | tanggal_ex | tanggal_record | selisih_hari | ex_ke_bayar_hari | dividen_usd |
|---|---|---|---|---|---|
| 2023-02-10 | 10 Feb 2023 | 2023-02-13 | 3 | 6 | 0.23 |
| 2023-05-12 | 12 Mei 2023 | 2023-05-15 | 3 | 6 | 0.24 |
| 2023-08-11 | 11 Agu 2023 | 2023-08-14 | 3 | 6 | 0.24 |
| 2023-11-10 | 10 Nov 2023 | 2023-11-13 | 3 | 6 | 0.24 |
| 2024-02-09 | 9 Feb 2024 | 2024-02-12 | 3 | 6 | 0.24 |
| 2024-05-10 | 10 Mei 2024 | 2024-05-13 | 3 | 6 | 0.25 |
| 2024-08-12 | 12 Agu 2024 | 2024-08-12 | 0 | 3 | 0.25 |
| 2024-11-08 | 8 Nov 2024 | 2024-11-11 | 3 | 6 | 0.25 |
| 2025-02-10 | 10 Feb 2025 | 2025-02-10 | 0 | 3 | 0.25 |
| 2025-05-12 | 12 Mei 2025 | 2025-05-12 | 0 | 3 | 0.26 |
| 2025-08-11 | 11 Agu 2025 | 2025-08-11 | 0 | 3 | 0.26 |
| 2025-11-10 | 10 Nov 2025 | 2025-11-10 | 0 | 3 | 0.26 |
| 2026-02-09 | 9 Feb 2026 | 2026-02-09 | 0 | 3 | 0.26 |
| 2026-05-11 | 11 Mei 2026 | 2026-05-11 | 0 | 3 | 0.27 |
| 2026-08-10 | 10 Agu 2026 | 2026-08-10 | 0 | 3 | 0.27 |
- Rows × columns
- 15 × 6
- 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 | 2023-02-10 to 2026-08-10 | |
tanggal_ex |
text | 15 distinct values (10 Agu 2026, 10 Feb 2023, 10 Feb 2025…) | |
tanggal_record |
date | 2023-02-13 to 2026-08-10 | |
selisih_hari |
number | 0 to 3 | |
ex_ke_bayar_hari |
number | 3 to 6 | |
dividen_usd |
number | 0.23 to 0.27 | US dollars |
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,
concat(toString(toDayOfMonth(ex_dividend_date)), ' ',
transform(toMonth(ex_dividend_date),
[1, 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12],
['Jan', 'Feb', 'Mar', 'Apr', 'Mei', 'Jun', 'Jul', 'Agu', 'Sep', 'Okt', 'Nov', 'Des'],
''),
' ', toString(toYear(ex_dividend_date))) AS tanggal_ex,
toString(any(record_date)) AS tanggal_record,
dateDiff('day', ex_dividend_date, any(record_date)) AS selisih_hari,
dateDiff('day', ex_dividend_date, any(pay_date)) AS ex_ke_bayar_hari,
round(toFloat64(any(cash_amount)), 2) AS dividen_usd
FROM global_markets.stocks_dividends
WHERE ticker = 'AAPL'
AND ex_dividend_date >= '2023-01-01'
AND ex_dividend_date < today()
GROUP BY ex_dividend_date
ORDER BY ex_dividend_date
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