dividend_timeline
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 2026-10-03, from upcoming-us-dividend-dates-in-ist.
| ticker | latest_ex_et | declare_to_ex_days | ex_to_record_days | ex_to_pay_days |
|---|---|---|---|---|
| PEP | 2026-09-04 | 49 | 0 | 26 |
| PG | 2026-07-24 | 10 | 0 | 24 |
| XOM | 2026-08-17 | 18 | 0 | 24 |
| VZ | 2026-07-10 | 36 | 0 | 24 |
| MSFT | 2026-08-20 | 71 | 0 | 21 |
| KO | 2026-09-15 | 62 | 0 | 16 |
| MCD | 2026-09-01 | 40 | 0 | 15 |
| HD | 2026-09-03 | 14 | 0 | 14 |
| JNJ | 2026-08-25 | 41 | 0 | 14 |
| AAPL | 2026-08-10 | 11 | 0 | 3 |
- Rows × columns
- 10 × 5
- 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 |
|---|---|---|---|
ticker |
text | 10 distinct values (AAPL, HD, JNJ…) | |
latest_ex_et |
date | 2026-07-10 to 2026-09-15 | |
declare_to_ex_days |
number | 10 to 71 | |
ex_to_record_days |
number | every row is 0 | |
ex_to_pay_days |
number | 3 to 26 |
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
ticker,
toString(max(ex_dividend_date)) AS latest_ex_et,
dateDiff('day', argMax(declaration_date, ex_dividend_date), max(ex_dividend_date)) AS declare_to_ex_days,
dateDiff('day', max(ex_dividend_date), argMax(record_date, ex_dividend_date)) AS ex_to_record_days,
dateDiff('day', max(ex_dividend_date), argMax(pay_date, ex_dividend_date)) AS ex_to_pay_days
FROM global_markets.stocks_dividends
WHERE ticker IN ('AAPL', 'MSFT', 'KO', 'JNJ', 'PG', 'XOM', 'PEP', 'MCD', 'HD', 'VZ')
AND currency = 'USD'
AND cash_amount > 0
AND ex_dividend_date <= today()
AND ex_dividend_date >= today() - 200
AND declaration_date >= '2015-01-01'
AND record_date >= '2015-01-01'
AND pay_date >= '2015-01-01'
GROUP BY ticker
ORDER BY ex_to_pay_days DESC
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.