etf_yield

Name: etf_yield
Creator: Strasmore
Published: 2026-11-01
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 2026-11-01, from qqq-dividend.

as of 2026-11-01 table 2×6read in context →

etf_yield — 2 rows by 6 columns, computed 2026-11-01 from US exchange, SIP and OPRA data.
ticker	ttm_usd_per_share	ttm_yield_pct	payouts_12m	last_close	price_as_of
QQQ	3.0918	0.45	4	$690.49	2026년 10월 30일
SPY	7.5827	1	4	$755.72	2026년 10월 30일

Rows × columns: 2 × 6
Computed: 2026-11-01
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 etf_yield, derived from the stored result.
Column	Type	Range	Notes
`ticker`	text	2 distinct values (QQQ, SPY)
`ttm_usd_per_share`	number	3.0918 to 7.5827	US dollars
`ttm_yield_pct`	number	0.45 to 1	percent
`payouts_12m`	number	every row is 4
`last_close`	text	2 distinct values ($690.49, $755.72)
`price_as_of`	text	1 distinct value (2026년 10월 30일)

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 2026-11-01, 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
    d.ticker                                                   AS ticker,
    round(d.ttm_usd, 4)                                        AS ttm_usd_per_share,
    round(d.ttm_usd / toFloat64(p.close) * 100, 2)             AS ttm_yield_pct,
    d.payouts                                                  AS payouts_12m,
    concat('$', toString(round(toFloat64(p.close), 2)))        AS last_close,
    concat(toString(toYear(p.last_day)), '년 ',
           toString(toMonth(p.last_day)), '월 ',
           toString(toDayOfMonth(p.last_day)), '일')            AS price_as_of
FROM
(
    SELECT
        ticker,
        sum(usd)  AS ttm_usd,
        count()   AS payouts
    FROM
    (
        SELECT
            ticker,
            ex_dividend_date,
            max(toFloat64(cash_amount)) AS usd
        FROM global_markets.stocks_dividends
        WHERE ticker IN ('QQQ', 'SPY')
          AND ex_dividend_date >  today() - 365
          AND ex_dividend_date <= today()
        GROUP BY ticker, ex_dividend_date
    )
    GROUP BY ticker
) AS d
INNER JOIN
(
    SELECT
        ticker,
        argMax(close, date) AS close,
        max(date)           AS last_day
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('QQQ', 'SPY')
      AND date >= today() - 14
    GROUP BY ticker
) AS p ON p.ticker = d.ticker
ORDER BY ticker

SQL to run

SELECT
    d.ticker                                                   AS ticker,
    round(d.ttm_usd, 4)                                        AS ttm_usd_per_share,
    round(d.ttm_usd / toFloat64(p.close) * 100, 2)             AS ttm_yield_pct,
    d.payouts                                                  AS payouts_12m,
    concat('$', toString(round(toFloat64(p.close), 2)))        AS last_close,
    concat(toString(toYear(p.last_day)), '년 ',
           toString(toMonth(p.last_day)), '월 ',
           toString(toDayOfMonth(p.last_day)), '일')            AS price_as_of
FROM
(
    SELECT
        ticker,
        sum(usd)  AS ttm_usd,
        count()   AS payouts
    FROM
    (
        SELECT
            ticker,
            ex_dividend_date,
            max(toFloat64(cash_amount)) AS usd
        FROM global_markets.stocks_dividends
        WHERE ticker IN ('QQQ', 'SPY')
          AND ex_dividend_date >  today() - 365
          AND ex_dividend_date <= today()
        GROUP BY ticker, ex_dividend_date
    )
    GROUP BY ticker
) AS d
INNER JOIN
(
    SELECT
        ticker,
        argMax(close, date) AS close,
        max(date)           AS last_day
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('QQQ', 'SPY')
      AND date >= today() - 14
    GROUP BY ticker
) AS p ON p.ticker = d.ticker
ORDER BY ticker

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