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Cap weighted vs equal weighted dividend yield, by company size

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 S&P 500 Dividend Yield: How It's Measured.

as of table 5×6read in context →
Cap weighted vs equal weighted dividend yield, by company size — 5 rows by 6 columns, computed from US exchange, SIP and OPRA data.
size_bucketcompaniespayerscap_weighted_yield_pctequal_weighted_yield_pctmedian_payer_yield_pct
over $1T1490.260.230.29
$200B to $1T47401.351.391.49
$50B to $200B1871571.891.921.8
$10B to $50B4883111.51.581.89
$1B to $10B12906751.671.732.39
Rows × columns
5 × 6
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 Cap weighted vs equal weighted dividend yield, by company size, derived from the stored result.
ColumnTypeRangeNotes
size_bucket text 5 distinct values ($10B to $50B, $1B to $10B, $200B to $1T…)
companies number 14 to 1,290
payers number 9 to 675
cap_weighted_yield_pct number 0.26 to 1.89 percent
equal_weighted_yield_pct number 0.23 to 1.92 percent
median_payer_yield_pct number 0.29 to 2.39 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.

SELECT multiIf(market_cap >= 1000000000000, 'over $1T',
               market_cap >= 200000000000, '$200B to $1T',
               market_cap >= 50000000000, '$50B to $200B',
               market_cap >= 10000000000, '$10B to $50B',
               '$1B to $10B') AS size_bucket,
       count() AS companies,
       countIf(dividend_yield > 0) AS payers,
       round(100 * sum(ifNull(dividend_yield, 0) * market_cap) / sum(market_cap), 2) AS cap_weighted_yield_pct,
       round(100 * avg(ifNull(dividend_yield, 0)), 2) AS equal_weighted_yield_pct,
       round(100 * quantileDeterministicIf(0.5)(ifNull(dividend_yield, 0),
                                                cityHash64(ticker), dividend_yield > 0), 2) AS median_payer_yield_pct
FROM global_markets.stocks_ratios
WHERE date = (SELECT max(date) FROM global_markets.stocks_ratios)
  AND price >= 5
  AND market_cap >= 1000000000
GROUP BY size_bucket
HAVING countIf(dividend_yield > 0) > 0
ORDER BY max(market_cap) DESC
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