STRASMORE/EXPLORE 3,256 QUERIES

mega_caps

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 2026-10-09, from qqq-etf-for-israeli-investors.

as of ranking 8×3read in context →
mega_caps — 8 rows by 3 columns, computed from US exchange, SIP and OPRA data.
symbolmarket_cap_trillions_usdshare_of_group_pct
NVDA5.5721
AAPL4.9718.8
GOOGL4.2616.1
MSFT3.8814.7
AMZN2.7410.4
META1.846.9
AVGO1.726.5
TSLA1.485.6
Rows × columns
8 × 3
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 mega_caps, derived from the stored result.
ColumnTypeRangeNotes
symbol text 8 distinct values (AAPL, AMZN, AVGO…)
market_cap_trillions_usd number 1.48 to 5.57 US dollars
share_of_group_pct number 5.6 to 21 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 caps AS
    (
        SELECT
            ticker,
            toFloat64(argMax(market_cap, (date, _ingest_time))) AS cap
        FROM global_markets.stocks_ratios
        WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'AMZN', 'GOOGL', 'META', 'AVGO', 'TSLA')
          AND date >= today() - 45
          AND market_cap > 0
        GROUP BY ticker
    )
SELECT
    c.ticker                            AS symbol,
    round(c.cap / 1e12, 2)              AS market_cap_trillions_usd,
    round(100 * c.cap / t.total_cap, 1) AS share_of_group_pct
FROM caps AS c
CROSS JOIN
(
    SELECT sum(cap) AS total_cap
    FROM caps
) AS t
ORDER BY market_cap_trillions_usd DESC
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