STRASMORE/EXPLORE 2,595 QUERIES

payout_chain

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 2026-09-25, from us-dividend-frequency-for-russian-investors.

as of table 10×5read in context →
payout_chain — 10 rows by 5 columns, computed from US exchange, SIP and OPRA data.
tickerpayouts_24mdays_decl_to_exdays_ex_to_recorddays_ex_to_pay
XOM814026
PG810025
PEP830025
CVX818022
MRK848022
MSFT872021
KO846017
HD814014
JNJ842014
AAPL81103
Rows × columns
10 × 5
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for payout_chain, derived from the stored result.
ColumnTypeRangeNotes
ticker text 10 distinct values (AAPL, CVX, HD…)
payouts_24m number every row is 8
days_decl_to_ex number 10 to 72
days_ex_to_record number every row is 0
days_ex_to_pay 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.

WITH chain AS
(
    SELECT
        ticker,
        id,
        any(declaration_date)  AS decl_date,
        any(ex_dividend_date)  AS ex_date,
        any(record_date)       AS rec_date,
        any(pay_date)          AS pay_date
    FROM global_markets.stocks_dividends
    WHERE ticker IN ('AAPL', 'MSFT', 'KO', 'JNJ', 'PG', 'XOM', 'CVX', 'PEP', 'HD', 'MRK')
      AND ex_dividend_date >= today() - 730
      AND ex_dividend_date <  today()
      AND cash_amount > 0
    GROUP BY ticker, id
)
SELECT
    ticker,
    count()                                                        AS payouts_24m,
    toUInt16(quantileExact(0.5)(dateDiff('day', decl_date, ex_date))) AS days_decl_to_ex,
    toUInt16(quantileExact(0.5)(dateDiff('day', ex_date, rec_date)))  AS days_ex_to_record,
    toUInt16(quantileExact(0.5)(dateDiff('day', ex_date, pay_date)))  AS days_ex_to_pay
FROM chain
WHERE decl_date > toDate('2000-01-01')
  AND rec_date  > toDate('2000-01-01')
  AND pay_date  > toDate('2000-01-01')
GROUP BY ticker
ORDER BY days_ex_to_pay DESC
⌘/Ctrl + Enter

Работайте с этими данными в своём ИИ-ассистенте

Открывается готовым к запросам, с данными этой страницы. Бесплатно, без аккаунта.