STRASMORE/EXPLORE 2,170 QUERIES

How often listed payers distribute, trailing year

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 2026-08-11, from Dividend Reinvestment Plans (DRIPs) Explained.

as of ranking 5×3read in context →
How often listed payers distribute, trailing year — 5 rows by 3 columns, computed from US exchange, SIP and OPRA data.
cadencepayer_countavg_days_ex_to_pay
Quarterly496112.9
Semiannual241527.1
Annual235013
Monthly20616.8
Irregular16705.8
Rows × columns
5 × 3
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 How often listed payers distribute, trailing year, derived from the stored result.
ColumnTypeRangeNotes
cadence text 5 distinct values (Annual, Irregular, Monthly…)
payer_count number 1,670 to 4,961 count
avg_days_ex_to_pay number 5.8 to 27.1

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.

the exact SQL behind every number
WITH payouts AS (
    SELECT
        ticker,
        any(frequency)        AS freq,
        any(ex_dividend_date) AS ex_date,
        any(pay_date)         AS paid_on
    FROM global_markets.stocks_dividends
    WHERE ex_dividend_date >= '2025-07-01'
      AND ex_dividend_date <  '2026-07-01'
      AND cash_amount > 0
      AND ticker NOT IN ('SPCX')
    GROUP BY id, ticker
)
SELECT
    multiIf(freq = 12, 'Monthly',
            freq = 4,  'Quarterly',
            freq = 2,  'Semiannual',
            freq = 1,  'Annual',
                       'Irregular')                  AS cadence,
    countDistinct(ticker)                            AS payer_count,
    round(avg(dateDiff('day', ex_date, paid_on)), 1) AS avg_days_ex_to_pay
FROM payouts
WHERE paid_on > ex_date
GROUP BY cadence
ORDER BY payer_count DESC

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