STRASMORE/EXPLORE 3,293 QUERIES

gross_net

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 2026-10-16, from us-dividend-tax-for-pakistani-investors.

as of ranking 5×4read in context →
gross_net — 5 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickergross_usd_per_100withheld_usd_per_100net_usd_per_100
JNJ528158.4369.6
PG429.06128.72300.34
MSFT364109.2254.8
KO21063147
AAPL10631.874.2
Rows × columns
5 × 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 gross_net, derived from the stored result.
ColumnTypeRangeNotes
ticker text 5 distinct values (AAPL, JNJ, KO…)
gross_usd_per_100 number 106 to 528 US dollars
withheld_usd_per_100 number 31.8 to 158.4 US dollars
net_usd_per_100 number 74.2 to 369.6 US dollars

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
    ticker,
    round(toFloat64(sum(cash_amount)) * 100, 2)        AS gross_usd_per_100,
    round(toFloat64(sum(cash_amount)) * 100 * 0.30, 2) AS withheld_usd_per_100,
    round(toFloat64(sum(cash_amount)) * 100 * 0.70, 2) AS net_usd_per_100
FROM
(
    SELECT
        ticker,
        ex_dividend_date,
        max(cash_amount) AS cash_amount
    FROM global_markets.stocks_dividends
    WHERE ticker IN ('AAPL', 'MSFT', 'JNJ', 'KO', 'PG')
      AND currency = 'USD'
      AND ex_dividend_date >= today() - 365
      AND ex_dividend_date <= today()
    GROUP BY ticker, ex_dividend_date
)
GROUP BY ticker
ORDER BY gross_usd_per_100 DESC
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