qqq_annual
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 2026-11-01, from qqq-dividend.
| year | usd_per_share_paid | payouts |
|---|---|---|
| 2016 | 1.2533 | 4 |
| 2017 | 1.3014 | 4 |
| 2018 | 1.4053 | 4 |
| 2019 | 1.5816 | 4 |
| 2020 | 1.7365 | 4 |
| 2021 | 1.6968 | 4 |
| 2022 | 2.1351 | 4 |
| 2023 | 2.5358 | 5 |
| 2024 | 2.8465 | 4 |
| 2025 | 2.7949 | 4 |
| 2026 | 2.2977 | 3 |
- Rows × columns
- 11 × 3
- 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 |
|---|---|---|---|
year |
number | 2,016 to 2,026 | |
usd_per_share_paid |
number | 1.2533 to 2.8465 | US dollars |
payouts |
number | 3 to 5 |
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
toYear(d) AS year,
round(sum(usd), 4) AS usd_per_share_paid,
count() AS payouts
FROM
(
SELECT
ex_dividend_date AS d,
max(toFloat64(cash_amount)) AS usd
FROM global_markets.stocks_dividends
WHERE ticker = 'QQQ'
AND ex_dividend_date >= '2016-01-01'
AND ex_dividend_date <= today()
GROUP BY d
)
GROUP BY year
ORDER BY year
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.