delai_par_rythme
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 2026-10-07, from days-from-ex-date-to-dividend-payment.
| label | events_count | jours_p10 | jours_median | jours_p90 |
|---|---|---|---|---|
| annuel | 11326 | 1 | 10 | 37 |
| semestriel | 24223 | 5 | 28 | 80 |
| trimestriel | 85453 | 3 | 14 | 26 |
| mensuel | 84969 | 2 | 6 | 18 |
- Rows × columns
- 4 × 5
- 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 |
|---|---|---|---|
label |
text | 4 distinct values (annuel, mensuel, semestriel…) | |
events_count |
number | 11,326 to 85,453 | count |
jours_p10 |
number | 1 to 5 | |
jours_median |
number | 6 to 28 | |
jours_p90 |
number | 18 to 80 |
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
multiIf(frequency = 12, 'mensuel',
frequency = 4, 'trimestriel',
frequency = 2, 'semestriel',
'annuel') AS label,
count() AS events_count,
toUInt16(round(quantileExact(0.1)(toFloat64(delai)))) AS jours_p10,
toUInt16(round(quantileExact(0.5)(toFloat64(delai)))) AS jours_median,
toUInt16(round(quantileExact(0.9)(toFloat64(delai)))) AS jours_p90
FROM
(
SELECT
frequency,
dateDiff('day', ex_dividend_date, pay_date) AS delai
FROM global_markets.stocks_dividends
WHERE ex_dividend_date >= '2021-10-01'
AND ex_dividend_date < '2026-10-01'
AND cash_amount > 0
AND pay_date > ex_dividend_date
AND dateDiff('day', ex_dividend_date, pay_date) <= 120
AND frequency IN (1, 2, 4, 12)
GROUP BY ticker, ex_dividend_date, pay_date, frequency
)
GROUP BY label, frequency
ORDER BY frequency
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