STRASMORE/EXPLORE 3,293 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 2026-10-16, from us-ex-dividend-dates-in-philippine-time.

as of ranking 18×4read in context →
pay_lag — 18 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickerlast_ex_labelpay_labeldays_to_pay
ABBVOct 15, 2026Nov 16, 202632
IBMAug 10, 2026Sep 10, 202631
CATJul 20, 2026Aug 19, 202630
PEPSep 4, 2026Sep 30, 202626
JPMOct 6, 2026Oct 31, 202625
PGJul 24, 2026Aug 17, 202624
XOMAug 17, 2026Sep 10, 202624
VZOct 9, 2026Nov 2, 202624
CVXAug 19, 2026Sep 10, 202622
MRKSep 15, 2026Oct 7, 202622
MSFTAug 20, 2026Sep 10, 202621
CSCOOct 2, 2026Oct 21, 202619
KOSep 15, 2026Oct 1, 202616
MCDSep 1, 2026Sep 16, 202615
HDSep 3, 2026Sep 17, 202614
JNJAug 25, 2026Sep 8, 202614
BLKSep 8, 2026Sep 22, 202614
AAPLAug 10, 2026Aug 13, 20263
Rows × columns
18 × 4
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
ticker text 18 distinct values (AAPL, ABBV, BLK…)
last_ex_label text 16 distinct values (Aug 10, 2026, Aug 17, 2026, Aug 19, 2026…)
pay_label text 15 distinct values (Aug 13, 2026, Aug 17, 2026, Aug 19, 2026…)
days_to_pay number 3 to 32

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 last_ex_label,
    formatDateTime(argMax(pay_date, ex_dividend_date), '%b %e, %Y')            AS pay_label,
    dateDiff('day', max(ex_dividend_date), argMax(pay_date, ex_dividend_date)) AS days_to_pay
FROM global_markets.stocks_dividends
WHERE ticker IN ('AAPL', 'ABBV', 'BLK', 'CAT', 'CSCO', 'CVX', 'HD', 'IBM', 'JNJ',
                 'JPM', 'KO', 'MCD', 'MRK', 'MSFT', 'PEP', 'PG', 'VZ', 'XOM')
  AND cash_amount > 0
  AND ex_dividend_date >= today() - 200
  AND ex_dividend_date <  today()
  AND pay_date >= ex_dividend_date
GROUP BY ticker
HAVING days_to_pay > 0
ORDER BY days_to_pay DESC
⌘/Ctrl + Enter

Gamitin ang datos na ito sa iyong AI assistant

Bubukas nang handang mag-query, kasama ang datos ng pahinang ito. Libre, walang account.

Claude ChatGPT Gemini Muse Sarili mong agent