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Price weight vs cap weight across a stand-in basket

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 Stock Splits and the Dow Divisor, Explained.

as of ranking 12×4read in context →
Price weight vs cap weight across a stand-in basket — 12 rows by 4 columns, computed from US exchange, SIP and OPRA data.
symbolshare_priceprice_weight_pctcap_weight_pct
GS902.5619.512.07
CAT845.4218.273.05
MSFT517.5311.1930.21
AMGN403.048.711.71
V360.667.85.32
AAPL333.697.2138.28
AXP302.786.541.61
HD282.856.112.22
JNJ256.035.534.85
MCD231.895.011.29
WMT104.262.256.5
KO85.651.852.9
Rows × columns
12 × 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 Price weight vs cap weight across a stand-in basket, derived from the stored result.
ColumnTypeRangeNotes
symbol text 12 distinct values (AAPL, AMGN, AXP…)
share_price number 85.65 to 902.56 US dollars
price_weight_pct number 1.85 to 19.51 percent
cap_weight_pct number 1.29 to 38.28 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 members AS
(
    SELECT
        ticker,
        argMax(toFloat64(price), date)      AS last_price,
        argMax(toFloat64(market_cap), date) AS last_cap
    FROM global_markets.stocks_ratios
    WHERE ticker IN ('AAPL','AMGN','AXP','CAT','GS','HD','JNJ','KO','MCD','MSFT','V','WMT')
      AND date >= today() - 45
      AND price > 0
      AND market_cap > 0
    GROUP BY ticker
),
totals AS
(
    SELECT
        sum(last_price) AS price_sum,
        sum(last_cap)   AS cap_sum
    FROM members
)
SELECT
    m.ticker                                    AS symbol,
    round(m.last_price, 2)                      AS share_price,
    round(100 * m.last_price / t.price_sum, 2)  AS price_weight_pct,
    round(100 * m.last_cap / t.cap_sum, 2)      AS cap_weight_pct
FROM members AS m
CROSS JOIN totals AS t
ORDER BY price_weight_pct DESC
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