STRASMORE/EXPLORE 3,256 QUERIES

distributions

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 2026-10-09, from qqq-etf-for-israeli-investors.

as of series 32×3read in context →
distributions — 32 rows by 3 columns, computed from US exchange, SIP and OPRA data.
ex_dateex_date_labelcash_amount_usd
2019-03-18Mar 20190.3242
2019-06-24Jun 20190.4156
2019-09-23Sep 20190.3842
2019-12-23Dec 20190.4576
2020-03-23Mar 20200.3627
2020-06-22Jun 20200.4243
2020-09-21Sep 20200.3882
2020-12-21Dec 20200.5613
2021-03-22Mar 20210.3947
2021-06-21Jun 20210.3968
2021-09-20Sep 20210.4139
2021-12-20Dec 20210.4914
2022-03-21Mar 20220.4337
2022-06-21Jun 20220.5274
2022-09-19Sep 20220.5186
2022-12-19Dec 20220.6554
2023-03-20Mar 20230.4722
2023-06-20Jun 20230.504
2023-09-18Sep 20230.5356
2023-12-18Dec 20230.8083
2023-12-27Dec 20230.2158
2024-03-18Mar 20240.5734
2024-06-24Jun 20240.7615
2024-09-23Sep 20240.6769
2024-12-23Dec 20240.8347
2025-03-24Mar 20250.7157
2025-06-23Jun 20250.5911
2025-09-22Sep 20250.694
2025-12-22Dec 20250.7941
2026-03-23Mar 20260.7328
2026-06-22Jun 20260.8135
2026-09-21Sep 20260.7514
Rows × columns
32 × 3
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 distributions, derived from the stored result.
ColumnTypeRangeNotes
ex_date date 2019-03-18 to 2026-09-21
ex_date_label text 31 distinct values (Dec 2019, Dec 2020, Dec 2021…)
cash_amount_usd number 0.2158 to 0.8347 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 %Y')  AS ex_date_label,
    round(toFloat64(max(cash_amount)), 4)      AS cash_amount_usd
FROM global_markets.stocks_dividends
WHERE ticker = 'QQQ'
  AND ex_dividend_date >= '2019-01-01'
GROUP BY ex_dividend_date
ORDER BY ex_dividend_date
⌘/Ctrl + Enter

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