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Overnight decline vs dividend paid: ten large payers, 12 ex-dividend dates each, Jul 2023 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?.

as of table 10×5read in context →
Overnight decline vs dividend paid: ten large payers, 12 ex-dividend dates each, Jul 2023 to Jun 2026 — 10 rows by 5 columns, computed from US exchange, SIP and OPRA data.
tickerex_datesavg_dividend_usdavg_overnight_decline_usddecline_per_dividend_ratio
KO120.4970.5441.1
MMM120.9241.0091.09
MCD121.7381.7861.03
VZ120.6760.6851.01
PEP121.3651.3130.96
JNJ121.2561.1720.93
XOM120.980.80.82
CVX121.6621.3310.8
MRK120.80.570.71
PG121.014-0.22-0.22
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 Overnight decline vs dividend paid: ten large payers, 12 ex-dividend dates each, Jul 2023 to Jun 2026, derived from the stored result.
ColumnTypeRangeNotes
ticker text 10 distinct values (CVX, JNJ, KO…)
ex_dates number every row is 12
avg_dividend_usd number 0.497 to 1.738 US dollars
avg_overnight_decline_usd number -0.22 to 1.786 US dollars
decline_per_dividend_ratio number -0.22 to 1.1 ratio or rate

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 tk AS (SELECT ['KO','JNJ','PG','XOM','CVX','VZ','MRK','PEP','MCD','MMM'] AS t),
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 ticker IN (SELECT arrayJoin(t) FROM tk)
      AND date BETWEEN toDate('2023-06-01') AND toDate('2026-06-30')
      AND open > 0 AND close > 0
),
dv AS (
    SELECT ticker, ex_dividend_date AS d, max(cash_amount) AS div_amount
    FROM global_markets.stocks_dividends
    WHERE ticker IN (SELECT arrayJoin(t) FROM tk)
      AND distribution_type = 'recurring'
      AND cash_amount > 0
      AND ex_dividend_date BETWEEN toDate('2023-07-01') AND toDate('2026-06-30')
    GROUP BY ticker, d
)
SELECT px.ticker AS ticker,
       count() AS ex_dates,
       round(avg(dv.div_amount), 3) AS avg_dividend_usd,
       round(avg(px.prev_close - px.day_open), 3) AS avg_overnight_decline_usd,
       round(avg(px.prev_close - px.day_open) / avg(dv.div_amount), 2) AS decline_per_dividend_ratio
FROM px
INNER JOIN dv ON px.ticker = dv.ticker AND px.date = dv.d
WHERE px.prev_close > 0
GROUP BY px.ticker
ORDER BY decline_per_dividend_ratio DESC

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