STRASMORE/EXPLORE 2,225 QUERIES

qqq_dividends

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 2026-09-13, from ndx-vs-qqq-options.

as of series 8×4read in context →
qqq_dividends — 8 rows by 4 columns, computed from US exchange, SIP and OPRA data.
ex_dateex_date_prettyweekdaycash_per_share
2026-06-22Jun 22, 2026Mon0.8135
2026-03-23Mar 23, 2026Mon0.7328
2025-12-22Dec 22, 2025Mon0.7941
2025-09-22Sep 22, 2025Mon0.694
2025-06-23Jun 23, 2025Mon0.5911
2025-03-24Mar 24, 2025Mon0.7157
2024-12-23Dec 23, 2024Mon0.8347
2024-09-23Sep 23, 2024Mon0.6769
Rows × columns
8 × 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 qqq_dividends, derived from the stored result.
ColumnTypeRangeNotes
ex_date date 2024-09-23 to 2026-06-22
ex_date_pretty text 8 distinct values (Dec 22, 2025, Dec 23, 2024, Jun 22, 2026…)
weekday text 1 distinct value (Mon)
cash_per_share number 0.5911 to 0.8347

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.

the exact SQL behind every number
SELECT
    toString(exd)                                                                                  AS ex_date,
    concat(formatDateTime(exd, '%b'), ' ', toString(toDayOfMonth(exd)), ', ', toString(toYear(exd))) AS ex_date_pretty,
    formatDateTime(exd, '%a')                                                                      AS weekday,
    round(max(toFloat64(cash_amount)), 4)                                                          AS cash_per_share
FROM
(
    SELECT
        toDate(ex_dividend_date) AS exd,
        cash_amount
    FROM global_markets.stocks_dividends
    WHERE ticker = 'QQQ'
)
WHERE exd <  today()
  AND exd >= today() - 800
GROUP BY exd
ORDER BY exd DESC

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