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Trailing year distribution rate, price change, and approximate total return

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 2026-08-22, from Return of Capital in ETF Distributions.

as of ranking 7×4read in context →
Trailing year distribution rate, price change, and approximate total return — 7 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickerdistribution_rate_pctprice_change_pctapprox_total_return_pct
QYLD12.57.620.1
RYLD12.510.122.5
JEPQ11.87.919.7
XYLD11.16.217.3
JEPI8.23.211.4
SCHD3.930.634.5
SPY1.220.521.7
Rows × columns
7 × 4
Computed
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 Trailing year distribution rate, price change, and approximate total return, derived from the stored result.
ColumnTypeRangeNotes
ticker text 7 distinct values (JEPI, JEPQ, QYLD…)
distribution_rate_pct number 1.2 to 12.5 percent
price_change_pct number 3.2 to 30.6 percent
approx_total_return_pct number 11.4 to 34.5 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.

the exact SQL behind every number
WITH divs AS
(
    SELECT
        ticker,
        sum(cash_amount) AS paid_12m
    FROM
    (
        SELECT
            ticker,
            ex_dividend_date,
            toFloat64(max(cash_amount)) AS cash_amount
        FROM global_markets.stocks_dividends
        WHERE ticker IN ('JEPI', 'JEPQ', 'QYLD', 'XYLD', 'RYLD', 'SCHD', 'SPY')
          AND ex_dividend_date >= today() - 373
          AND ex_dividend_date <  today() - 5
        GROUP BY ticker, ex_dividend_date
    )
    GROUP BY ticker
),
px AS
(
    SELECT
        ticker,
        toFloat64(argMin(close, window_start)) AS price_then,
        toFloat64(argMax(close, window_start)) AS price_now
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN ('JEPI', 'JEPQ', 'QYLD', 'XYLD', 'RYLD', 'SCHD', 'SPY')
      AND (
            (window_start >= now() - INTERVAL 375 DAY AND window_start < now() - INTERVAL 368 DAY)
         OR (window_start >= now() - INTERVAL 9 DAY   AND window_start < now() - INTERVAL 2 DAY)
          )
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) >= 570
      AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
           + toMinute(toTimeZone(window_start, 'America/New_York'))) < 960
    GROUP BY ticker
)
SELECT
    px.ticker                                                          AS ticker,
    round(100 * divs.paid_12m / px.price_then, 1)                      AS distribution_rate_pct,
    round(100 * (px.price_now / px.price_then - 1), 1)                 AS price_change_pct,
    round(100 * ((px.price_now + divs.paid_12m) / px.price_then - 1), 1) AS approx_total_return_pct
FROM px
INNER JOIN divs ON divs.ticker = px.ticker
ORDER BY distribution_rate_pct DESC

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