div_year
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 what-is-qqq-etf-for-korean-investors.
| year | gross_usd | after_withholding_usd | yield_pct |
|---|---|---|---|
| 2016 | 1.2533 | 1.0653 | 1.06 |
| 2017 | 1.3014 | 1.1062 | 0.84 |
| 2018 | 1.4053 | 1.1945 | 0.91 |
| 2019 | 1.5816 | 1.3444 | 0.74 |
| 2020 | 1.7365 | 1.476 | 0.55 |
| 2021 | 1.6968 | 1.4423 | 0.43 |
| 2022 | 2.1351 | 1.8148 | 0.8 |
| 2023 | 2.5358 | 2.1555 | 0.62 |
| 2024 | 2.8465 | 2.4195 | 0.56 |
| 2025 | 2.7949 | 2.3756 | 0.45 |
- Rows × columns
- 10 × 4
- 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 |
text | 10 distinct values (2016, 2017, 2018…) | |
gross_usd |
number | 1.2533 to 2.8465 | US dollars |
after_withholding_usd |
number | 1.0653 to 2.4195 | US dollars |
yield_pct |
number | 0.43 to 1.06 | percent |
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.
WITH dedup AS
(
SELECT
ex_dividend_date,
toFloat64(any(cash_amount)) AS amount
FROM global_markets.stocks_dividends
WHERE ticker = 'QQQ'
AND ex_dividend_date >= '2016-01-01'
AND ex_dividend_date < toStartOfYear(today())
GROUP BY ex_dividend_date
),
by_year AS
(
SELECT
toYear(ex_dividend_date) AS yr,
sum(amount) AS gross
FROM dedup
GROUP BY yr
),
year_close AS
(
SELECT
toYear(date) AS yr,
toFloat64(argMax(close, date)) AS last_close
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'QQQ'
AND date >= '2016-01-01'
AND date < toStartOfYear(today())
GROUP BY yr
)
SELECT
toString(b.yr) AS year,
round(b.gross, 4) AS gross_usd,
round(b.gross * 0.85, 4) AS after_withholding_usd,
round(100 * b.gross / c.last_close, 2) AS yield_pct
FROM by_year AS b
INNER JOIN year_close AS c ON b.yr = c.yr
ORDER BY b.yr
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.