STRASMORE/EXPLORE 2,985 QUERIES

net_math

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 2026-10-03, from aapl-dividend-for-russian-investors.

as of ranking 4×4read in context →
net_math — 4 rows by 4 columns, computed from US exchange, SIP and OPRA data.
scenario_labelgross_usdwithheld_usdnet_usd
0%1.0601.06
10%1.060.1060.954
15%1.060.1590.901
30%1.060.3180.742
Rows × columns
4 × 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 net_math, derived from the stored result.
ColumnTypeRangeNotes
scenario_label text 4 distinct values (0%, 10%, 15%…)
gross_usd number every row is 1.06 US dollars
withheld_usd number 0 to 0.318 US dollars
net_usd number 0.742 to 1.06 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
    concat(toString(rate), '%')                        AS scenario_label,
    round(g.gross_usd, 4)                              AS gross_usd,
    round(g.gross_usd * rate / 100, 4)                 AS withheld_usd,
    round(g.gross_usd - (g.gross_usd * rate / 100), 4) AS net_usd
FROM
(
    SELECT arrayJoin([0, 10, 15, 30]) AS rate
) AS r
CROSS JOIN
(
    SELECT round(toFloat64(sum(amount)), 4) AS gross_usd
    FROM
    (
        SELECT max(cash_amount) AS amount
        FROM global_markets.stocks_dividends
        WHERE ticker = 'AAPL'
          AND currency = 'USD'
          AND ex_dividend_date <= today()
        GROUP BY ex_dividend_date
        ORDER BY ex_dividend_date DESC
        LIMIT 4
    )
) AS g
ORDER BY rate
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