STRASMORE/EXPLORE 3,256 QUERIES

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?.

as of ranking 5×3read in context →
Ex-dividend openings sorted by decline as a multiple of the dividend: US quarterly payers, Jan 2024 to Jun 2026 — 5 rows by 3 columns, computed from US exchange, SIP and OPRA data.
drop_bucketex_datesshare_pct
opened higher662720.8
fell under half436013.7
fell half to full821725.8
fell 1 to 1.5x549217.3
fell over 1.5x711422.4
Rows × columns
5 × 3
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 Ex-dividend openings sorted by decline as a multiple of the dividend: US quarterly payers, Jan 2024 to Jun 2026, derived from the stored result.
ColumnTypeRangeNotes
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.

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 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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