yield_gap

Name: yield_gap
Creator: Strasmore
Published: 2026-10-16
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 2026-10-16, from us-dividend-tax-for-pakistani-investors.

as of 2026-10-16 ranking 6×3read in context →

yield_gap — 6 rows by 3 columns, computed 2026-10-16 from US exchange, SIP and OPRA data.
ticker	gross_yield_pct	net_yield_pct
CVX	3.19	2.24
PG	2.72	1.9
KO	2.26	1.58
JNJ	2.07	1.45
MSFT	0.67	0.47
AAPL	0.31	0.22

Rows × columns: 6 × 3
Computed: 2026-10-16
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_gap, derived from the stored result.
Column	Type	Range	Notes
`ticker`	text	6 distinct values (AAPL, CVX, JNJ…)
`gross_yield_pct`	number	0.31 to 3.19	percent
`net_yield_pct`	number	0.22 to 2.24	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 2026-10-16, 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
    d.ticker                                                            AS ticker,
    round(toFloat64(d.ttm_dividend) / toFloat64(p.last_close) * 100, 2) AS gross_yield_pct,
    round(toFloat64(d.ttm_dividend) / toFloat64(p.last_close) * 70, 2)  AS net_yield_pct
FROM
(
    SELECT
        ticker,
        sum(cash_amount) AS ttm_dividend
    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', 'CVX')
          AND currency = 'USD'
          AND ex_dividend_date >= today() - 365
          AND ex_dividend_date <= today()
        GROUP BY ticker, ex_dividend_date
    )
    GROUP BY ticker
) AS d
INNER JOIN
(
    SELECT
        ticker,
        argMax(close, date) AS last_close
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('AAPL', 'MSFT', 'JNJ', 'KO', 'PG', 'CVX')
      AND date >= today() - 30
    GROUP BY ticker
) AS p ON p.ticker = d.ticker
ORDER BY gross_yield_pct DESC

SQL to run

SELECT
    d.ticker                                                            AS ticker,
    round(toFloat64(d.ttm_dividend) / toFloat64(p.last_close) * 100, 2) AS gross_yield_pct,
    round(toFloat64(d.ttm_dividend) / toFloat64(p.last_close) * 70, 2)  AS net_yield_pct
FROM
(
    SELECT
        ticker,
        sum(cash_amount) AS ttm_dividend
    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', 'CVX')
          AND currency = 'USD'
          AND ex_dividend_date >= today() - 365
          AND ex_dividend_date <= today()
        GROUP BY ticker, ex_dividend_date
    )
    GROUP BY ticker
) AS d
INNER JOIN
(
    SELECT
        ticker,
        argMax(close, date) AS last_close
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('AAPL', 'MSFT', 'JNJ', 'KO', 'PG', 'CVX')
      AND date >= today() - 30
    GROUP BY ticker
) AS p ON p.ticker = d.ticker
ORDER BY gross_yield_pct DESC

⌘/Ctrl + Enter

Work with this data in your AI assistant

Opens ready to query, with this page's data. Free, no account.

Claude ChatGPT Gemini Muse Your own agent