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.
| rate_direction | payers | share_of_group_pct | median_yield_pct | median_rate_change_pct |
|---|---|---|---|---|
| Rate cut | 133 | 21.8 | 4.76 | -22.7 |
| Rate held flat | 133 | 21.8 | 6.87 | 0 |
| Rate raised up to 25% | 165 | 27 | 4.94 | 13.4 |
| Rate raised over 25% | 179 | 29.3 | 5 | 48.2 |
- Rows × columns
- 4 × 5
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
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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