Quarterly dividend against ordinary overnight moves, 2021 to 2025
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 2026-08-14, from Why stocks drop on the ex-dividend date.
| ticker | dividend_bps | median_gap_bps | sessions_over_dividend_pct |
|---|---|---|---|
| HD | 60.7 | 40.5 | 33.2 |
| XOM | 100.3 | 51.6 | 23.5 |
| CVX | 105.7 | 49.1 | 19.4 |
| MCD | 56.9 | 26.5 | 18.2 |
| PG | 62.3 | 23.6 | 12.5 |
| PEP | 76.8 | 27.9 | 12.2 |
| JNJ | 70.8 | 25.8 | 10 |
| KO | 74.9 | 24 | 9.3 |
| ABBV | 97 | 28.8 | 7.4 |
| VZ | 148.6 | 23.8 | 3.2 |
- Rows × columns
- 10 × 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 |
|---|---|---|---|
ticker |
text | 10 distinct values (ABBV, CVX, HD…) | |
dividend_bps |
number | 56.9 to 148.6 | |
median_gap_bps |
number | 23.6 to 51.6 | |
sessions_over_dividend_pct |
number | 3.2 to 33.2 | 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.
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
prices AS
(
SELECT
ticker,
date,
open_px,
any(close_px) OVER (PARTITION BY ticker ORDER BY date ASC ROWS BETWEEN 1 PRECEDING AND 1 PRECEDING) AS prior_close
FROM
(
SELECT
ticker,
date,
toFloat64(max(open)) AS open_px,
toFloat64(max(close)) AS close_px
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('KO','PG','JNJ','PEP','XOM','CVX','MCD','HD','VZ','ABBV')
AND date >= '2020-12-01'
AND date < '2026-01-01'
GROUP BY ticker, date
)
),
ex_days AS
(
SELECT
ticker,
ex_dividend_date AS ex_date,
toFloat64(max(cash_amount)) AS dividend
FROM global_markets.stocks_dividends
WHERE ticker IN ('KO','PG','JNJ','PEP','XOM','CVX','MCD','HD','VZ','ABBV')
AND ex_dividend_date >= '2021-01-01'
AND ex_dividend_date < '2026-01-01'
AND cash_amount > 0
GROUP BY ticker, ex_dividend_date
),
div_size AS
(
SELECT
e.ticker AS ticker,
avg(e.dividend / p.prior_close) * 10000 AS dividend_bps
FROM ex_days AS e
INNER JOIN prices AS p ON p.ticker = e.ticker AND p.date = e.ex_date
WHERE p.prior_close > 0
GROUP BY e.ticker
),
ordinary AS
(
SELECT
ticker,
date,
abs(open_px / prior_close - 1) * 10000 AS abs_gap_bps
FROM prices
WHERE prior_close > 0
AND date >= '2021-01-01'
AND (ticker, date) NOT IN (SELECT ticker, ex_date FROM ex_days)
)
SELECT
o.ticker AS ticker,
round(max(d.dividend_bps), 1) AS dividend_bps,
round(quantileDeterministic(0.5)(o.abs_gap_bps, toUInt32(o.date)), 1) AS median_gap_bps,
round(100 * countIf(o.abs_gap_bps > d.dividend_bps) / count(), 1) AS sessions_over_dividend_pct
FROM ordinary AS o
INNER JOIN div_size AS d ON d.ticker = o.ticker
GROUP BY o.ticker
ORDER BY sessions_over_dividend_pct DESC
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