STRASMORE/EXPLORE 2,170 QUERIES

Liquid monthly payers grouped by the change in their monthly rate over three years, with each group's current yield

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.

as of table 4×5read in context →
Liquid monthly payers grouped by the change in their monthly rate over three years, with each group's current yield — 4 rows by 5 columns, computed from US exchange, SIP and OPRA data.
rate_directionpayersshare_of_group_pctmedian_yield_pctmedian_rate_change_pct
Rate cut13321.84.76-22.7
Rate held flat13321.86.870
Rate raised up to 25%165274.9413.4
Rate raised over 25%17929.3548.2
Rows × columns
4 × 5
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 Liquid monthly payers grouped by the change in their monthly rate over three years, with each group's current yield, derived from the stored result.
ColumnTypeRangeNotes
rate_direction text 4 distinct values
payers number 133 to 179
share_of_group_pct number 21.8 to 29.3 percent
median_yield_pct number 4.76 to 6.87 percent
median_rate_change_pct number -22.7 to 48.2 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 monthly AS (
    SELECT ticker,
           argMaxIf(cash_amount, ex_dividend_date, ex_dividend_date >= '2025-07-01') AS recent_rate,
           argMinIf(cash_amount, ex_dividend_date, ex_dividend_date <= '2023-12-31') AS early_rate
    FROM global_markets.stocks_dividends
    WHERE cash_amount > 0
      AND distribution_type = 'recurring'
      AND ex_dividend_date >= '2023-07-01'
      AND ex_dividend_date <= '2026-06-30'
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker
    HAVING countIf(ex_dividend_date >= '2025-07-01') BETWEEN 10 AND 14
       AND argMax(frequency, ex_dividend_date) = 12
       AND countIf(ex_dividend_date <= '2023-12-31') >= 4
       AND early_rate > 0
),
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 monthly)
      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 > 0 AND dollar_vol >= 20000000
)
SELECT multiIf(100 * (recent_rate - early_rate) / early_rate < -5, 'Rate cut',
               100 * (recent_rate - early_rate) / early_rate <= 5, 'Rate held flat',
               100 * (recent_rate - early_rate) / early_rate <= 25, 'Rate raised up to 25%',
               'Rate raised over 25%') AS rate_direction,
       count() AS payers,
       round(100 * count() / sum(count()) OVER (), 1) AS share_of_group_pct,
       round(quantileDeterministic(0.5)(100 * recent_rate * 12 / last_close, cityHash64(ticker)), 2) AS median_yield_pct,
       round(quantileDeterministic(0.5)(100 * (recent_rate - early_rate) / early_rate, cityHash64(ticker)), 1) AS median_rate_change_pct
FROM monthly
INNER JOIN tape USING (ticker)
GROUP BY rate_direction
ORDER BY median_rate_change_pct

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