STRASMORE/EXPLORE 2,882 QUERIES

pay_lag

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 2026-10-01, from us-dividend-tax-for-filipino-investors.

as of series 15×4read in context →
pay_lag — 15 rows by 4 columns, computed from US exchange, SIP and OPRA data.
ex_dateex_month_labelpay_date_isodays_ex_to_pay
2023-03-06Mar 20232023-03-2317
2023-06-07Jun 20232023-06-2316
2023-09-07Sep 20232023-09-2215
2023-12-06Dec 20232023-12-2216
2024-03-06Mar 20242024-03-2216
2024-06-07Jun 20242024-06-2417
2024-09-09Sep 20242024-09-2314
2024-12-05Dec 20242024-12-2318
2025-03-07Mar 20252025-03-2417
2025-06-05Jun 20252025-06-2318
2025-09-05Sep 20252025-09-2318
2025-12-05Dec 20252025-12-2318
2026-03-06Mar 20262026-03-2418
2026-06-05Jun 20262026-06-2318
2026-09-08Sep 20262026-09-2214
Rows × columns
15 × 4
Period covered
to
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 pay_lag, derived from the stored result.
ColumnTypeRangeNotes
ex_date date 2023-03-06 to 2026-09-08
ex_month_label text 15 distinct values (Dec 2023, Dec 2024, Dec 2025…)
pay_date_iso date 2023-03-23 to 2026-09-22
days_ex_to_pay number 14 to 18

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
    toString(ex_dividend_date)                        AS ex_date,
    formatDateTime(ex_dividend_date, '%b %Y')         AS ex_month_label,
    any(toString(pay_date))                           AS pay_date_iso,
    dateDiff('day', ex_dividend_date, any(pay_date))  AS days_ex_to_pay
FROM global_markets.stocks_dividends
WHERE ticker = 'BLK'
  AND ex_dividend_date >= '2023-01-01'
  AND ex_dividend_date <= today()
  AND pay_date > ex_dividend_date
GROUP BY ex_dividend_date
ORDER BY ex_dividend_date
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