STRASMORE/EXPLORE 3,094 QUERIES

cat_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 2026-10-05, from cat-dividend-for-russian-investors.

as of series 15×4read in context →
cat_payments — 15 rows by 4 columns, computed from US exchange, SIP and OPRA data.
ex_dateex_date_labelpay_date_labelcash_amount_usd
2023-01-19Jan 19, 2023Feb 17, 20231.2
2023-04-21Apr 21, 2023May 19, 20231.2
2023-07-19Jul 19, 2023Aug 18, 20231.3
2023-10-20Oct 20, 2023Nov 20, 20231.3
2024-01-19Jan 19, 2024Feb 20, 20241.3
2024-04-19Apr 19, 2024May 20, 20241.3
2024-07-22Jul 22, 2024Aug 20, 20241.41
2024-10-21Oct 21, 2024Nov 20, 20241.41
2025-01-21Jan 21, 2025Feb 20, 20251.41
2025-04-21Apr 21, 2025May 20, 20251.41
2025-07-21Jul 21, 2025Aug 20, 20251.51
2025-10-20Oct 20, 2025Nov 20, 20251.51
2026-01-20Jan 20, 2026Feb 19, 20261.51
2026-04-20Apr 20, 2026May 19, 20261.51
2026-07-20Jul 20, 2026Aug 19, 20261.63
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 cat_payments, derived from the stored result.
ColumnTypeRangeNotes
ex_date date 2023-01-19 to 2026-07-20
ex_date_label text 15 distinct values (Apr 19, 2024, Apr 20, 2026, Apr 21, 2023…)
pay_date_label text 15 distinct values (Aug 18, 2023, Aug 19, 2026, Aug 20, 2024…)
cash_amount_usd number 1.2 to 1.63 US dollars

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 %e, %Y') AS ex_date_label,
    formatDateTime(any(pay_date), '%b %e, %Y')    AS pay_date_label,
    round(max(toFloat64(cash_amount)), 2)         AS cash_amount_usd
FROM global_markets.stocks_dividends
WHERE ticker = 'CAT'
  AND ex_dividend_date >= '2023-01-01'
GROUP BY ex_dividend_date
ORDER BY ex_dividend_date
⌘/Ctrl + Enter

Work with this data in your AI assistant

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