STRASMORE/EXPLORE 2,882 QUERIES

payments

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 pep-dividend-history.

as of series 13×6read in context →
payments — 13 rows by 6 columns, computed from US exchange, SIP and OPRA data.
ex_dateex_prettydeclared_onrecord_onpaid_oncash_amount
2026-09-04Sep 4, 2026Jul 17, 2026Sep 4, 2026Sep 30, 20261.48
2026-06-05Jun 5, 2026May 6, 2026Jun 5, 2026Jun 30, 20261.48
2026-03-06Mar 6, 2026Feb 4, 2026Mar 6, 2026Mar 31, 20261.4225
2025-12-05Dec 5, 2025Nov 19, 2025Dec 5, 2025Jan 6, 20261.4225
2025-09-05Sep 5, 2025Jul 24, 2025Sep 5, 2025Sep 30, 20251.4225
2025-06-06Jun 6, 2025May 6, 2025Jun 6, 2025Jun 30, 20251.4225
2025-03-07Mar 7, 2025Feb 5, 2025Mar 7, 2025Mar 31, 20251.355
2024-12-06Dec 6, 2024Nov 19, 2024Dec 6, 2024Jan 6, 20251.355
2024-09-06Sep 6, 2024Jul 25, 2024Sep 6, 2024Sep 30, 20241.355
2024-06-07Jun 7, 2024Apr 30, 2024Jun 7, 2024Jun 28, 20241.355
2024-02-29Feb 29, 2024Feb 7, 2024Mar 1, 2024Apr 1, 20241.265
2023-11-30Nov 30, 2023Nov 16, 2023Dec 1, 2023Jan 5, 20241.265
2023-08-31Aug 31, 2023Jul 20, 2023Sep 1, 2023Sep 29, 20231.265
Rows × columns
13 × 6
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 payments, derived from the stored result.
ColumnTypeRangeNotes
ex_date date 2023-08-31 to 2026-09-04
ex_pretty text 13 distinct values (Aug 31, 2023, Dec 5, 2025, Dec 6, 2024…)
declared_on text 13 distinct values (Apr 30, 2024, Feb 4, 2026, Feb 5, 2025…)
record_on text 13 distinct values (Dec 1, 2023, Dec 5, 2025, Dec 6, 2024…)
paid_on text 13 distinct values (Apr 1, 2024, Jan 5, 2024, Jan 6, 2025…)
cash_amount number 1.265 to 1.48

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_date)                     AS ex_date,
    ex_pretty,
    declared_on,
    record_on,
    paid_on,
    cash_amount
FROM
(
    SELECT
        ex_dividend_date                                   AS ex_date,
        formatDateTime(ex_dividend_date, '%b %e, %Y')      AS ex_pretty,
        formatDateTime(max(declaration_date), '%b %e, %Y') AS declared_on,
        formatDateTime(max(record_date), '%b %e, %Y')      AS record_on,
        formatDateTime(max(pay_date), '%b %e, %Y')         AS paid_on,
        round(max(toFloat64(cash_amount)), 4)              AS cash_amount
    FROM global_markets.stocks_dividends
    WHERE ticker = 'PEP'
      AND ex_dividend_date >= today() - 1300
    GROUP BY ex_dividend_date
)
ORDER BY ex_date DESC
LIMIT 13
⌘/Ctrl + Enter

Work with this data in your AI assistant

Opens ready to query, with this page's data. Free, no account.

More from this analysispep-dividend-history
raises table 23×5 → annual table 22×5 → yield_grid ranking 9×4 → The 2s10s spread by month, full history series 604×5 → One SPY $600 LEAPS call's price over two years (expired Jan 16 2026) series 470×2 → The 5s30s spread month by month, with both legs series 241×4 → See all 2,882 queries →