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Quarterly dividend as a share of price vs typical daily move: ten large payers, 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?.

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Quarterly dividend as a share of price vs typical daily move: ten large payers, Jul 2023 to Jun 2026 — 10 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickerdividend_pct_of_priceavg_daily_move_pctp95_daily_move_pct
VZ1.641.012.95
CVX1.051.042.67
PEP0.860.912.43
XOM0.841.112.97
MRK0.761.13.07
KO0.740.751.93
MMM0.731.233.13
JNJ0.720.82.15
PG0.640.822.31
MCD0.590.822.17
Rows × columns
10 × 4
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 Quarterly dividend as a share of price vs typical daily move: ten large payers, Jul 2023 to Jun 2026, derived from the stored result.
ColumnTypeRangeNotes
ticker text 10 distinct values (CVX, JNJ, KO…)
dividend_pct_of_price number 0.59 to 1.64 percent
avg_daily_move_pct number 0.75 to 1.23 percent
p95_daily_move_pct number 1.93 to 3.13 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 tk AS (SELECT ['KO','JNJ','PG','XOM','CVX','VZ','MRK','PEP','MCD','MMM'] AS t),
r AS (
    SELECT ticker,
           date,
           toFloat64(close) AS close,
           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('2023-07-01') AND toDate('2026-06-30')
      AND close > 0
),
vol AS (
    SELECT ticker,
           round(100 * avg(abs(close / prev_close - 1)), 2) AS avg_daily_move_pct,
           round(quantileDeterministic(0.95)(100 * abs(close / prev_close - 1), cityHash64(date)), 2) AS p95_daily_move_pct,
           avg(close) AS avg_close
    FROM r
    WHERE prev_close > 0
    GROUP BY ticker
),
dv AS (
    SELECT ticker, avg(cash_amount) AS avg_dividend_usd
    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
)
SELECT vol.ticker AS ticker,
       round(100 * dv.avg_dividend_usd / vol.avg_close, 2) AS dividend_pct_of_price,
       vol.avg_daily_move_pct AS avg_daily_move_pct,
       vol.p95_daily_move_pct AS p95_daily_move_pct
FROM vol
INNER JOIN dv ON vol.ticker = dv.ticker
ORDER BY dividend_pct_of_price DESC

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