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Trailing yield by payment schedule: liquid US-listed payers, twelve months of cash through June 2026

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 2026-07-31, from Monthly Dividend Stocks Explained.

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Trailing yield by payment schedule: liquid US-listed payers, twelve months of cash through June 2026 — 4 rows by 4 columns, computed from US exchange, SIP and OPRA data.
scheduletickersmedian_trailing_yield_pctp90_trailing_yield_pct
Monthly8434.8311.04
Twice a year2682.234.59
Quarterly24211.95.96
Once a year2961.427.16
Rows × columns
4 × 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 yield by payment schedule: liquid US-listed payers, twelve months of cash through June 2026, derived from the stored result.
ColumnTypeRangeNotes
schedule text 4 distinct values (Monthly, Once a year, Quarterly…)
tickers number 268 to 2,421
median_trailing_yield_pct number 1.42 to 4.83 percent
p90_trailing_yield_pct number 4.59 to 11.04 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 sched AS (
    SELECT ticker,
           argMax(frequency, ex_dividend_date) AS freq,
           sum(cash_amount) AS ttm_cash
    FROM global_markets.stocks_dividends
    WHERE cash_amount > 0
      AND distribution_type = 'recurring'
      AND ex_dividend_date >= '2025-07-01'
      AND ex_dividend_date <= '2026-06-30'
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker
    HAVING freq IN (1, 2, 4, 12)
),
tape AS (
    SELECT ticker,
           argMax(toFloat64(close), window_start) AS last_close,
           sum(toFloat64(close) * volume) AS dollar_vol
    FROM global_markets.delayed_stocks_minute_aggs
    WHERE ticker IN (SELECT ticker FROM sched)
      AND window_start >= toDateTime('2026-06-01 00:00:00')
      AND window_start < toDateTime('2026-07-01 00:00:00')
      AND toHour(toTimeZone(window_start, 'America/New_York')) * 60
          + toMinute(toTimeZone(window_start, 'America/New_York')) BETWEEN 570 AND 959
    GROUP BY ticker
    HAVING last_close > 5 AND dollar_vol >= 20000000
)
SELECT multiIf(freq = 12, 'Monthly',
               freq = 4, 'Quarterly',
               freq = 2, 'Twice a year',
               'Once a year') AS schedule,
       count() AS tickers,
       round(quantileDeterministic(0.5)(100 * ttm_cash / last_close, cityHash64(ticker)), 2) AS median_trailing_yield_pct,
       round(quantileDeterministic(0.9)(100 * ttm_cash / last_close, cityHash64(ticker)), 2) AS p90_trailing_yield_pct
FROM sched
INNER JOIN tape USING (ticker)
GROUP BY schedule
ORDER BY median_trailing_yield_pct DESC

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