STRASMORE/EXPLORE 2,549 QUERIES

stake_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 2026-09-24, from bulk-deals-vs-block-deals-in-india.

as of ranking 6×4read in context →
stake_size — 6 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickershares_out_bnstake_shares_mnstake_value_bn
AAPL14.8174.0524.96
MSFT7.4637.318.67
WMT8.0140.064.43
JNJ2.4312.153.27
KO4.3121.561.9
PG2.4212.121.79
Rows × columns
6 × 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 stake_size, derived from the stored result.
ColumnTypeRangeNotes
ticker text 6 distinct values (AAPL, JNJ, KO…)
shares_out_bn number 2.42 to 14.81 count
stake_shares_mn number 12.12 to 74.05 count
stake_value_bn number 1.79 to 24.96

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
    shares AS
    (
        SELECT
            t                                                          AS ticker,
            argMax(diluted_shares_outstanding, (filing_date, period_end)) AS shares_out
        FROM global_markets.stocks_income_statements
        ARRAY JOIN tickers AS t
        WHERE t IN ('AAPL', 'MSFT', 'KO', 'PG', 'WMT', 'JNJ')
          AND diluted_shares_outstanding > 0
        GROUP BY t
    ),
    prices AS
    (
        SELECT
            ticker,
            argMax(toFloat64(price), date) AS last_price
        FROM global_markets.stocks_ratios
        WHERE ticker IN ('AAPL', 'MSFT', 'KO', 'PG', 'WMT', 'JNJ')
          AND price > 0
        GROUP BY ticker
    )
SELECT
    s.ticker                                                       AS ticker,
    round(toFloat64(s.shares_out) / 1e9, 2)                        AS shares_out_bn,
    round(toFloat64(s.shares_out) * 0.005 / 1e6, 2)                AS stake_shares_mn,
    round(toFloat64(s.shares_out) * 0.005 * p.last_price / 1e9, 2) AS stake_value_bn
FROM shares AS s
INNER JOIN prices AS p ON p.ticker = s.ticker
ORDER BY stake_value_bn DESC
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