yield_by_year

Name: yield_by_year
Creator: Strasmore
Published: 2026-10-09
License: https://www.strasmore.com/terms/

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 qqq-etf-for-israeli-investors.

as of 2026-10-09 ranking 10×3read in context →

yield_by_year — 10 rows by 3 columns, computed 2026-10-09 from US exchange, SIP and OPRA data.
year	distributions_usd	dividend_yield_pct
2016	1.253	1.06
2017	1.301	0.84
2018	1.405	0.91
2019	1.582	0.74
2020	1.737	0.55
2021	1.697	0.43
2022	2.135	0.8
2023	2.536	0.62
2024	2.846	0.56
2025	2.795	0.45

Rows × columns: 10 × 3
Computed: 2026-10-09
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 yield_by_year, derived from the stored result.
Column	Type	Range	Notes
`year`	number	2,016 to 2,025
`distributions_usd`	number	1.253 to 2.846	US dollars
`dividend_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 2026-10-09, 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
    annual_divs AS
    (
        SELECT
            toYear(ex_dividend_date) AS year,
            sum(amount)              AS annual_usd
        FROM
        (
            SELECT
                ex_dividend_date,
                toFloat64(max(cash_amount)) AS amount
            FROM global_markets.stocks_dividends
            WHERE ticker = 'QQQ'
              AND ex_dividend_date >= '2016-01-01'
            GROUP BY ex_dividend_date
        )
        GROUP BY year
    ),
    annual_price AS
    (
        SELECT
            toYear(date)                   AS year,
            toFloat64(argMax(close, date)) AS year_end_close
        FROM global_markets.stocks_daily_aggs
        WHERE ticker = 'QQQ'
          AND date >= '2016-01-01'
        GROUP BY year
    )
SELECT
    d.year                                          AS year,
    round(d.annual_usd, 3)                          AS distributions_usd,
    round(100 * d.annual_usd / p.year_end_close, 2) AS dividend_yield_pct
FROM annual_divs AS d
INNER JOIN annual_price AS p ON d.year = p.year
WHERE d.year < toYear(today())
ORDER BY year

SQL to run

WITH
    annual_divs AS
    (
        SELECT
            toYear(ex_dividend_date) AS year,
            sum(amount)              AS annual_usd
        FROM
        (
            SELECT
                ex_dividend_date,
                toFloat64(max(cash_amount)) AS amount
            FROM global_markets.stocks_dividends
            WHERE ticker = 'QQQ'
              AND ex_dividend_date >= '2016-01-01'
            GROUP BY ex_dividend_date
        )
        GROUP BY year
    ),
    annual_price AS
    (
        SELECT
            toYear(date)                   AS year,
            toFloat64(argMax(close, date)) AS year_end_close
        FROM global_markets.stocks_daily_aggs
        WHERE ticker = 'QQQ'
          AND date >= '2016-01-01'
        GROUP BY year
    )
SELECT
    d.year                                          AS year,
    round(d.annual_usd, 3)                          AS distributions_usd,
    round(100 * d.annual_usd / p.year_end_close, 2) AS dividend_yield_pct
FROM annual_divs AS d
INNER JOIN annual_price AS p ON d.year = p.year
WHERE d.year < toYear(today())
ORDER BY year

⌘/Ctrl + Enter

Work with this data in your AI assistant

Opens ready to query, with this page's data. Free, no account.

Claude ChatGPT Gemini Muse Your own agent