Median days from ex-date to pay date, fixed baskets of twelve names per sector, trailing two years
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 2026-10-04, from Upcoming Dividend Payment Dates: Next 2 Weeks.
| sector | median_gap_days | shortest_gap_days | longest_gap_days | payouts_counted |
|---|---|---|---|---|
| REITs | 15 | 8 | 35 | 107 |
| Utilities | 21 | 10 | 41 | 96 |
| Tech | 14 | 3 | 36 | 96 |
| Banks and financials | 21 | 14 | 39 | 94 |
| Consumer staples | 24 | 14 | 36 | 93 |
| Healthcare | 22 | 8 | 42 | 96 |
| Energy | 17 | 9 | 57 | 96 |
- Rows × columns
- 7 × 5
- 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 |
|---|---|---|---|
sector |
text | 7 distinct values | |
median_gap_days |
number | 14 to 24 | |
shortest_gap_days |
number | 3 to 14 | |
longest_gap_days |
number | 35 to 57 | |
payouts_counted |
number | 93 to 107 |
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.
SELECT
sector,
quantileExact(0.5)(gap_days) AS median_gap_days,
min(gap_days) AS shortest_gap_days,
max(gap_days) AS longest_gap_days,
count() AS payouts_counted
FROM
(
SELECT
multiIf(
ticker IN ('O', 'PLD', 'AMT', 'SPG', 'WELL', 'PSA', 'EQIX', 'DLR', 'VICI', 'CCI', 'AVB', 'EQR'), 'REITs',
ticker IN ('DUK', 'SO', 'NEE', 'D', 'AEP', 'XEL', 'ED', 'EXC', 'SRE', 'PEG', 'WEC', 'ETR'), 'Utilities',
ticker IN ('AAPL', 'MSFT', 'AVGO', 'CSCO', 'ORCL', 'TXN', 'QCOM', 'IBM', 'ADP', 'ACN', 'ADI', 'INTU'), 'Tech',
ticker IN ('JPM', 'BAC', 'WFC', 'C', 'GS', 'MS', 'USB', 'PNC', 'TFC', 'BLK', 'AXP', 'SCHW'), 'Banks and financials',
ticker IN ('KO', 'PEP', 'PG', 'WMT', 'COST', 'MDLZ', 'CL', 'KMB', 'PM', 'MO', 'GIS', 'HSY'), 'Consumer staples',
ticker IN ('JNJ', 'PFE', 'MRK', 'ABBV', 'ABT', 'LLY', 'AMGN', 'BMY', 'MDT', 'GILD', 'CVS', 'UNH'), 'Healthcare',
ticker IN ('XOM', 'CVX', 'COP', 'EOG', 'SLB', 'KMI', 'WMB', 'OKE', 'PSX', 'VLO', 'MPC', 'DVN'), 'Energy',
'other') AS sector,
dateDiff('day', ex_dividend_date, pay_date) AS gap_days
FROM global_markets.stocks_dividends
WHERE ex_dividend_date >= today() - 730
AND ex_dividend_date < today()
AND pay_date > ex_dividend_date
AND cash_amount > 0
GROUP BY ticker, ex_dividend_date, pay_date
)
WHERE sector != 'other'
GROUP BY sector
ORDER BY indexOf(['REITs', 'Utilities', 'Tech', 'Banks and financials', 'Consumer staples', 'Healthcare', 'Energy'], sector)
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