Ex-dividend openings sorted by decline as a multiple of the dividend: US quarterly payers, Jan 2024 to Jun 2026
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 2026-08-01, from Does Dividend Capture Actually Work?.
| drop_bucket | ex_dates | share_pct |
|---|---|---|
| opened higher | 6627 | 20.8 |
| fell under half | 4360 | 13.7 |
| fell half to full | 8217 | 25.8 |
| fell 1 to 1.5x | 5492 | 17.3 |
| fell over 1.5x | 7114 | 22.4 |
- Rows × columns
- 5 × 3
- 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 |
|---|---|---|---|
drop_bucket |
text | 5 distinct values | |
ex_dates |
number | 4,360 to 8,217 | |
share_pct |
number | 13.7 to 25.8 | 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
WITH divs AS (
SELECT ticker, ex_dividend_date AS d, max(cash_amount) AS div_amount
FROM global_markets.stocks_dividends
WHERE distribution_type = 'recurring'
AND frequency = 4
AND cash_amount > 0
AND ex_dividend_date BETWEEN toDate('2024-01-01') AND toDate('2026-06-30')
GROUP BY ticker, d
),
px AS (
SELECT ticker,
date,
toFloat64(open) AS day_open,
lagInFrame(toFloat64(close)) OVER (PARTITION BY ticker ORDER BY date
ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prev_close
FROM global_markets.stocks_daily_aggs
WHERE date BETWEEN toDate('2023-12-01') AND toDate('2026-06-30')
AND open > 0 AND close > 0
),
ev AS (
SELECT (px.prev_close - px.day_open) / divs.div_amount AS ratio
FROM px
INNER JOIN divs ON px.ticker = divs.ticker AND px.date = divs.d
WHERE px.prev_close >= 5
AND divs.div_amount / px.prev_close BETWEEN 0.001 AND 0.05
)
SELECT multiIf(ratio < 0, 'opened higher',
ratio < 0.5, 'fell under half',
ratio < 1, 'fell half to full',
ratio < 1.5, 'fell 1 to 1.5x',
'fell over 1.5x') AS drop_bucket,
count() AS ex_dates,
round(100 * count() / (SELECT count() FROM ev), 1) AS share_pct
FROM ev
GROUP BY drop_bucket
ORDER BY multiIf(drop_bucket = 'opened higher', 0,
drop_bucket = 'fell under half', 1,
drop_bucket = 'fell half to full', 2,
drop_bucket = 'fell 1 to 1.5x', 3, 4)
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