Dividend outcome over the following 12 months by starting yield band (cohort of June 30, 2025)
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 2026-10-04, from Dividend Yield Traps: How to Spot One.
| yield_band | payers | median_yield_pct | pct_stopped_paying | pct_reduced_rate | pct_reduced_or_stopped | pct_maintained_or_raised |
|---|---|---|---|---|---|---|
| under 2% | 1369 | 1.06 | 2.3 | 21.1 | 23.4 | 76.6 |
| 2-4% | 912 | 2.89 | 2.1 | 20.1 | 22.1 | 77.9 |
| 4-6% | 444 | 4.88 | 2.3 | 18 | 20.3 | 79.7 |
| 6-8% | 425 | 6.77 | 2.1 | 8.5 | 10.6 | 89.4 |
| 8% and up | 330 | 9.66 | 7.6 | 28.8 | 36.4 | 63.6 |
- Rows × columns
- 5 × 7
- 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 |
|---|---|---|---|
yield_band |
text | 5 distinct values (2-4%, 4-6%, 6-8%…) | |
payers |
number | 330 to 1,369 | |
median_yield_pct |
number | 1.06 to 9.66 | percent |
pct_stopped_paying |
number | 2.1 to 7.6 | percent |
pct_reduced_rate |
number | 8.5 to 28.8 | percent |
pct_reduced_or_stopped |
number | 10.6 to 36.4 | percent |
pct_maintained_or_raised |
number | 63.6 to 89.4 | 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.
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.
WITH px_base AS (
SELECT ticker,
argMax(toFloat64(close), window_start) AS price
FROM global_markets.delayed_stocks_minute_aggs
WHERE toDate(toTimeZone(window_start, 'America/New_York')) = toDate('2025-06-30')
AND (toHour(toTimeZone(window_start, 'America/New_York')) * 60
+ toMinute(toTimeZone(window_start, 'America/New_York'))) BETWEEN 570 AND 959
GROUP BY ticker
HAVING price >= 5
),
rate_before AS (
SELECT ticker,
argMax(toFloat64(cash_amount) * frequency, ex_dividend_date) AS annual_rate
FROM global_markets.stocks_dividends
WHERE distribution_type = 'recurring'
AND frequency = 4
AND cash_amount > 0
AND ex_dividend_date > toDate('2024-06-30')
AND ex_dividend_date <= toDate('2025-06-30')
GROUP BY ticker
),
rate_after AS (
SELECT ticker,
argMax(toFloat64(cash_amount) * frequency, ex_dividend_date) AS annual_rate
FROM global_markets.stocks_dividends
WHERE distribution_type = 'recurring'
AND frequency > 0
AND cash_amount > 0
AND ex_dividend_date > toDate('2025-06-30')
AND ex_dividend_date <= toDate('2026-06-30')
GROUP BY ticker
)
SELECT multiIf(100 * b.annual_rate / p.price >= 8, '8% and up',
100 * b.annual_rate / p.price >= 6, '6-8%',
100 * b.annual_rate / p.price >= 4, '4-6%',
100 * b.annual_rate / p.price >= 2, '2-4%',
'under 2%') AS yield_band,
count() AS payers,
round(quantileDeterministic(0.5)(100 * b.annual_rate / p.price, cityHash64(p.ticker)), 2) AS median_yield_pct,
round(100 * countIf(ifNull(a.annual_rate, 0) = 0) / count(), 1) AS pct_stopped_paying,
round(100 * countIf(ifNull(a.annual_rate, 0) > 0 AND a.annual_rate < b.annual_rate * 0.99) / count(), 1) AS pct_reduced_rate,
round(100 * countIf(ifNull(a.annual_rate, 0) = 0 OR a.annual_rate < b.annual_rate * 0.99) / count(), 1) AS pct_reduced_or_stopped,
round(100 * countIf(ifNull(a.annual_rate, 0) >= b.annual_rate * 0.99) / count(), 1) AS pct_maintained_or_raised
FROM px_base AS p
INNER JOIN rate_before AS b ON p.ticker = b.ticker
LEFT JOIN rate_after AS a ON p.ticker = a.ticker
GROUP BY yield_band
ORDER BY median_yield_pct
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