How big each kind of cash distribution is, as a share of the stock price
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 2026-08-22, from When Special Dividends Adjust Options.
| payout_type | payouts | median_yield_pct | p90_yield_pct |
|---|---|---|---|
| Monthly | 102202 | 0.417 | 0.89 |
| Quarterly | 98175 | 0.683 | 1.97 |
| Semiannual | 5621 | 1.156 | 3 |
| Annual | 3251 | 1.403 | 6.09 |
| One time | 5957 | 0.763 | 4.74 |
- Rows × columns
- 5 × 4
- 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 |
|---|---|---|---|
payout_type |
text | 5 distinct values (Annual, Monthly, One time…) | |
payouts |
number | 3,251 to 102,202 | |
median_yield_pct |
number | 0.417 to 1.403 | percent |
p90_yield_pct |
number | 0.89 to 6.09 | percent |
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
SELECT
multiIf(frequency = 0, 'One time',
frequency = 1, 'Annual',
frequency = 2, 'Semiannual',
frequency = 4, 'Quarterly',
'Monthly') AS payout_type,
count() AS payouts,
round(quantileDeterministic(0.5)(yield_pct, det), 3) AS median_yield_pct,
round(quantileDeterministic(0.9)(yield_pct, det), 2) AS p90_yield_pct
FROM
(
SELECT
dv.frequency AS frequency,
100 * toFloat64(dv.cash_amt) / toFloat64(px.close) AS yield_pct,
cityHash64(dv.ticker, toString(dv.ex_dividend_date)) AS det
FROM
(
SELECT
ticker,
date,
max(close) AS close
FROM global_markets.stocks_daily_aggs
WHERE date >= '2019-01-01'
AND (ticker, date) IN
(
SELECT ticker, ex_dividend_date
FROM global_markets.stocks_dividends
WHERE currency = 'USD'
AND cash_amount > 0
)
GROUP BY ticker, date
HAVING close >= 1
) AS px
INNER JOIN
(
SELECT
ticker,
ex_dividend_date,
frequency,
max(cash_amount) AS cash_amt
FROM global_markets.stocks_dividends
WHERE currency = 'USD'
AND cash_amount > 0
AND frequency IN (0, 1, 2, 4, 12)
AND ex_dividend_date >= '2019-01-01'
AND ex_dividend_date < today() - 5
GROUP BY ticker, ex_dividend_date, frequency
) AS dv ON dv.ticker = px.ticker AND dv.ex_dividend_date = px.date
)
GROUP BY payout_type
HAVING payouts >= 200
ORDER BY (payout_type = 'One time') ASC, median_yield_pct ASC
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