calendrier_detachements
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 2026-09-30, from cac-40-dividend-yield.
| mois | detachements |
|---|---|
| janvier | 8 |
| février | 4 |
| mars | 8 |
| avril | 37 |
| mai | 73 |
| juin | 13 |
| juillet | 7 |
| août | 0 |
| septembre | 7 |
| octobre | 3 |
| novembre | 8 |
| décembre | 8 |
- Rows × columns
- 12 × 2
- 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 |
|---|---|---|---|
mois |
text | 12 distinct values (août, avril, décembre…) | |
detachements |
number | 0 to 73 |
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
transform(cal.m,
[1,2,3,4,5,6,7,8,9,10,11,12],
['janvier','février','mars','avril','mai','juin','juillet','août','septembre','octobre','novembre','décembre'],
'inconnu') AS mois,
toUInt32(ifNull(obs.detachements, 0)) AS detachements
FROM
(
SELECT toUInt8(arrayJoin(range(1, 13))) AS m
) AS cal
LEFT JOIN
(
SELECT
toMonth(ex_dividend_date) AS m,
count() AS detachements
FROM
(
SELECT DISTINCT ticker, ex_dividend_date
FROM global_markets.stocks_dividends
WHERE ticker IN ('TTE','SNY','STLA','LVMUY','AIQUY','EADSY','DANOY','BNPQY','SBGSY','SAFRY','LRLCY','HESAY','PUBGY','MGDDY','CRARY','SCGLY','VCISY','ESLOY','AXAHY','PPRUY')
AND ex_dividend_date >= '2019-01-01'
AND ex_dividend_date < '2026-01-01'
)
GROUP BY m
) AS obs ON obs.m = cal.m
ORDER BY cal.m
Travaillez ces données dans votre assistant IA
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