STRASMORE/EXPLORE 2,830 QUERIES

pay_calendar

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 2026-09-30, from us-dividend-tax-for-indian-investors.

as of table 6×6read in context →
pay_calendar — 6 rows by 6 columns, computed from US exchange, SIP and OPRA data.
tickerex_date_labelrecord_date_labelpay_date_labelgross_dps_usdnet_dps_usd
KOSep 15, 2026Sep 15, 2026Oct 1, 20260.530.3975
JNJAug 25, 2026Aug 25, 2026Sep 8, 20261.341.005
MSFTAug 20, 2026Aug 20, 2026Sep 10, 20260.910.6825
CVXAug 19, 2026Aug 19, 2026Sep 10, 20261.781.335
PGJul 24, 2026Jul 24, 2026Aug 17, 20261.08850.8164
ABBVJul 15, 2026Jul 15, 2026Aug 14, 20261.731.2975
Rows × columns
6 × 6
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_calendar, derived from the stored result.
ColumnTypeRangeNotes
ticker text 6 distinct values (ABBV, CVX, JNJ…)
ex_date_label text 6 distinct values (Aug 19, 2026, Aug 20, 2026, Aug 25, 2026…)
record_date_label text 6 distinct values (Aug 19, 2026, Aug 20, 2026, Aug 25, 2026…)
pay_date_label text 5 distinct values (Aug 14, 2026, Aug 17, 2026, Oct 1, 2026…)
gross_dps_usd number 0.53 to 1.78 US dollars
net_dps_usd number 0.3975 to 1.335 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
    ticker,
    formatDateTime(max(ex_dividend_date), '%b %e, %Y')                 AS ex_date_label,
    formatDateTime(argMax(record_date, ex_dividend_date), '%b %e, %Y') AS record_date_label,
    formatDateTime(argMax(pay_date, ex_dividend_date), '%b %e, %Y')    AS pay_date_label,
    round(argMax(toFloat64(cash_amount), ex_dividend_date), 4)         AS gross_dps_usd,
    round(argMax(toFloat64(cash_amount), ex_dividend_date) * 0.75, 4)  AS net_dps_usd
FROM global_markets.stocks_dividends
WHERE ticker IN ('JNJ', 'KO', 'PG', 'MSFT', 'ABBV', 'CVX')
  AND ex_dividend_date <= today()
  AND ex_dividend_date >  today() - 200
GROUP BY ticker
ORDER BY max(ex_dividend_date) DESC
⌘/Ctrl + Enter

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