yield_net

Name: yield_net
Creator: Strasmore
Published: 2026-10-09
License: https://www.strasmore.com/terms/

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 us-dividend-tax-for-russian-investors.

as of 2026-10-09 ranking 3×3read in context →

yield_net — 3 rows by 3 columns, computed 2026-10-09 from US exchange, SIP and OPRA data.
ticker	gross_yield_pct	net_yield_pct
KO	2.41	1.68
CAT	0.77	0.54
AAPL	0.32	0.22

Rows × columns: 3 × 3
Computed: 2026-10-09
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 yield_net, derived from the stored result.
Column	Type	Range	Notes
`ticker`	text	3 distinct values (AAPL, CAT, KO)
`gross_yield_pct`	number	0.32 to 2.41	percent
`net_yield_pct`	number	0.22 to 1.68	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 2026-10-09, 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
    divs AS
    (
        SELECT
            ticker,
            sum(amt) AS gross_12m
        FROM
        (
            SELECT
                ticker,
                ex_dividend_date,
                max(cash_amount) AS amt
            FROM global_markets.stocks_dividends
            WHERE ticker IN ('AAPL', 'CAT', 'KO')
              AND currency = 'USD'
              AND cash_amount > 0
              AND ex_dividend_date >= today() - 365
              AND ex_dividend_date <  today()
            GROUP BY ticker, ex_dividend_date
        )
        GROUP BY ticker
    ),
    px AS
    (
        SELECT
            ticker,
            argMax(close, date) AS last_close
        FROM global_markets.stocks_daily_aggs
        WHERE ticker IN ('AAPL', 'CAT', 'KO')
          AND date >= today() - 30
        GROUP BY ticker
    )
SELECT
    d.ticker                                                         AS ticker,
    round(100 * toFloat64(d.gross_12m) / toFloat64(p.last_close), 2) AS gross_yield_pct,
    round( 70 * toFloat64(d.gross_12m) / toFloat64(p.last_close), 2) AS net_yield_pct
FROM divs AS d
INNER JOIN px AS p ON p.ticker = d.ticker
ORDER BY gross_yield_pct DESC

SQL to run

WITH
    divs AS
    (
        SELECT
            ticker,
            sum(amt) AS gross_12m
        FROM
        (
            SELECT
                ticker,
                ex_dividend_date,
                max(cash_amount) AS amt
            FROM global_markets.stocks_dividends
            WHERE ticker IN ('AAPL', 'CAT', 'KO')
              AND currency = 'USD'
              AND cash_amount > 0
              AND ex_dividend_date >= today() - 365
              AND ex_dividend_date <  today()
            GROUP BY ticker, ex_dividend_date
        )
        GROUP BY ticker
    ),
    px AS
    (
        SELECT
            ticker,
            argMax(close, date) AS last_close
        FROM global_markets.stocks_daily_aggs
        WHERE ticker IN ('AAPL', 'CAT', 'KO')
          AND date >= today() - 30
        GROUP BY ticker
    )
SELECT
    d.ticker                                                         AS ticker,
    round(100 * toFloat64(d.gross_12m) / toFloat64(p.last_close), 2) AS gross_yield_pct,
    round( 70 * toFloat64(d.gross_12m) / toFloat64(p.last_close), 2) AS net_yield_pct
FROM divs AS d
INNER JOIN px AS p ON p.ticker = d.ticker
ORDER BY gross_yield_pct DESC

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