QQQ ex-dividend dates and cash per share, most recent first
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 2026-09-20, from NDX vs QQQ Options: Which One to Trade?.
| ex_date | ex_date_pretty | weekday | cash_per_share |
|---|---|---|---|
| 2026-06-22 | Jun 22, 2026 | Mon | 0.8135 |
| 2026-03-23 | Mar 23, 2026 | Mon | 0.7328 |
| 2025-12-22 | Dec 22, 2025 | Mon | 0.7941 |
| 2025-09-22 | Sep 22, 2025 | Mon | 0.694 |
| 2025-06-23 | Jun 23, 2025 | Mon | 0.5911 |
| 2025-03-24 | Mar 24, 2025 | Mon | 0.7157 |
| 2024-12-23 | Dec 23, 2024 | Mon | 0.8347 |
| 2024-09-23 | Sep 23, 2024 | Mon | 0.6769 |
- 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
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
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.
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(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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