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How many US companies clear each yield floor, with payout ratio and loss-makers

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 Highest Dividend Yield US Stocks in 2026.

as of ranking 8×4read in context →
How many US companies clear each yield floor, with payout ratio and loss-makers — 8 rows by 4 columns, computed from US exchange, SIP and OPRA data.
yield_floorcompaniesmedian_payout_ratiopct_no_positive_eps
2% and up531638.5
3% and up3158510.2
4% and up19810214.1
5% and up11911817.6
6% and up7211816.7
8% and up3513011.4
10% and up212069.5
15% and up838912.5
Rows × columns
8 × 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 How many US companies clear each yield floor, with payout ratio and loss-makers, derived from the stored result.
ColumnTypeRangeNotes
yield_floor text 8 distinct values (10% and up, 15% and up, 2% and up…)
companies number 8 to 531
median_payout_ratio number 63 to 389 ratio or rate
pct_no_positive_eps number 8.5 to 17.6 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 snapshot AS (
    SELECT ticker,
           toFloat64(dividend_yield) * 100 AS yield_pct,
           toFloat64(dividend_yield) * toFloat64(price) AS annual_dividend,
           toFloat64(earnings_per_share) AS eps
    FROM global_markets.stocks_ratios
    WHERE date = (SELECT max(date) FROM global_markets.stocks_ratios)
      AND price >= 5
      AND market_cap >= 2000000000
      AND dividend_yield > 0
      AND earnings_per_share IS NOT NULL
),
rungs AS (
    SELECT arrayJoin([2, 3, 4, 5, 6, 8, 10, 15]) AS min_yield_pct
)
SELECT concat(toString(r.min_yield_pct), '% and up') AS yield_floor,
       count() AS companies,
       round(quantileDeterministicIf(0.5)(s.annual_dividend / s.eps * 100,
                                          cityHash64(s.ticker), s.eps > 0), 0) AS median_payout_ratio,
       round(100 * countIf(s.eps <= 0) / count(), 1) AS pct_no_positive_eps
FROM rungs AS r, snapshot AS s
WHERE s.yield_pct >= r.min_yield_pct
GROUP BY r.min_yield_pct
HAVING countIf(s.eps > 0) > 0
ORDER BY r.min_yield_pct

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