Where US dividend payers sit: yield bands, $1B+ market cap, latest snapshot
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 What Is a Good Dividend Yield in 2026?.
| yield_band | company_count | pct_of_payers | cumulative_pct |
|---|---|---|---|
| under 1% | 356 | 28 | 28 |
| 1 to 2% | 280 | 22 | 50.1 |
| 2 to 3% | 251 | 19.8 | 69.8 |
| 3 to 4% | 131 | 10.3 | 80.2 |
| 4 to 6% | 143 | 11.3 | 91.4 |
| 6 to 8% | 53 | 4.2 | 95.6 |
| 8% and up | 56 | 4.4 | 100 |
- Rows × columns
- 7 × 4
- 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 | 7 distinct values (1 to 2%, 2 to 3%, 3 to 4%…) | |
company_count |
number | 53 to 356 | count |
pct_of_payers |
number | 4.2 to 28 | percent |
cumulative_pct |
number | 28 to 100 | 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 payers AS (
SELECT ticker,
argMax(dividend_yield, date) * 100 AS yield_pct
FROM global_markets.stocks_ratios
WHERE date = (SELECT max(date) FROM global_markets.stocks_ratios)
AND price >= 5
AND market_cap >= 1000000000
AND dividend_yield > 0
GROUP BY ticker
),
banded AS (
SELECT multiIf(yield_pct < 1, 'under 1%',
yield_pct < 2, '1 to 2%',
yield_pct < 3, '2 to 3%',
yield_pct < 4, '3 to 4%',
yield_pct < 6, '4 to 6%',
yield_pct < 8, '6 to 8%',
'8% and up') AS yield_band,
min(yield_pct) AS band_floor,
count() AS company_count
FROM payers
GROUP BY yield_band
)
SELECT yield_band,
company_count,
round(100 * company_count / sum(company_count) OVER (), 1) AS pct_of_payers,
round(100 * sum(company_count) OVER (ORDER BY band_floor) / sum(company_count) OVER (), 1) AS cumulative_pct
FROM banded
ORDER BY band_floor
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