annual_net
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 2026-10-16, from us-dividend-tax-for-korean-investors.
| year | qqq_gross_usd | qqq_net_usd | spy_gross_usd | spy_net_usd |
|---|---|---|---|---|
| 2019 | 1.5816 | 1.3444 | 5.6184 | 4.7756 |
| 2020 | 1.7365 | 1.476 | 5.691 | 4.8374 |
| 2021 | 1.6968 | 1.4423 | 5.7182 | 4.8605 |
| 2022 | 2.1351 | 1.8148 | 6.3207 | 5.3726 |
| 2023 | 2.5358 | 2.1555 | 6.6338 | 5.6387 |
| 2024 | 2.8465 | 2.4195 | 7.065 | 6.0053 |
| 2025 | 2.7949 | 2.3756 | 7.2811 | 6.189 |
- Rows × columns
- 7 × 5
- 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 | 7 distinct values (2019, 2020, 2021…) | |
qqq_gross_usd |
number | 1.5816 to 2.8465 | US dollars |
qqq_net_usd |
number | 1.3444 to 2.4195 | US dollars |
spy_gross_usd |
number | 5.6184 to 7.2811 | US dollars |
spy_net_usd |
number | 4.7756 to 6.189 | 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(toYear(d.ex_dividend_date)) AS year,
round(sumIf(d.amt, d.ticker = 'QQQ'), 4) AS qqq_gross_usd,
round(sumIf(d.amt, d.ticker = 'QQQ') * 0.85, 4) AS qqq_net_usd,
round(sumIf(d.amt, d.ticker = 'SPY'), 4) AS spy_gross_usd,
round(sumIf(d.amt, d.ticker = 'SPY') * 0.85, 4) AS spy_net_usd
FROM
(
SELECT
ticker,
ex_dividend_date,
toFloat64(max(cash_amount)) AS amt
FROM global_markets.stocks_dividends
WHERE ticker IN ('QQQ', 'SPY')
AND ex_dividend_date >= '2019-01-01'
AND ex_dividend_date < '2026-01-01'
GROUP BY ticker, ex_dividend_date
) AS d
GROUP BY year
HAVING qqq_gross_usd > 0 AND spy_gross_usd > 0
ORDER BY year
AI 어시스턴트에서 이 데이터로 작업하기
이 페이지의 데이터로 바로 쿼리할 수 있게 열립니다. 무료, 계정 불필요.