equity_yield

Name: equity_yield
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 capital-market-vs-money-market.

as of 2026-10-16 ranking 7×3read in context →

equity_yield — 7 rows by 3 columns, computed 2026-10-16 from US exchange, SIP and OPRA data.
ticker	quarterly_dividend_usd	dividend_yield_pct
CVX	1.78	3.23
IBM	1.69	2.88
PG	1.09	2.76
XOM	1.03	2.34
KO	0.53	2.28
JNJ	1.34	2.1
CSCO	0.42	1.53

Rows × columns: 7 × 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 equity_yield, derived from the stored result.
Column	Type	Range	Notes
`ticker`	text	7 distinct values (CSCO, CVX, IBM…)
`quarterly_dividend_usd`	number	0.42 to 1.78	US dollars
`dividend_yield_pct`	number	1.53 to 3.23	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.

WITH divs AS (
    SELECT
        ticker,
        argMax(cash_amount, ex_dividend_date) AS quarterly_dividend,
        max(ex_dividend_date)                 AS last_ex_date
    FROM global_markets.stocks_dividends
    WHERE ticker IN ('KO', 'JNJ', 'XOM', 'CVX', 'PG', 'IBM', 'CSCO')
      AND frequency = 4
      AND ex_dividend_date <= today()
      AND ex_dividend_date >= today() - 400
    GROUP BY ticker
),
px AS (
    SELECT
        ticker,
        toFloat64(argMax(close, date)) AS last_close
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('KO', 'JNJ', 'XOM', 'CVX', 'PG', 'IBM', 'CSCO')
      AND date >= today() - 14
    GROUP BY ticker
)
SELECT
    d.ticker                                                  AS ticker,
    round(toFloat64(d.quarterly_dividend), 2)                 AS quarterly_dividend_usd,
    round(100 * 4 * toFloat64(d.quarterly_dividend) / p.last_close, 2) AS dividend_yield_pct
FROM divs AS d
INNER JOIN px AS p ON p.ticker = d.ticker
ORDER BY dividend_yield_pct DESC

SQL to run

WITH divs AS (
    SELECT
        ticker,
        argMax(cash_amount, ex_dividend_date) AS quarterly_dividend,
        max(ex_dividend_date)                 AS last_ex_date
    FROM global_markets.stocks_dividends
    WHERE ticker IN ('KO', 'JNJ', 'XOM', 'CVX', 'PG', 'IBM', 'CSCO')
      AND frequency = 4
      AND ex_dividend_date <= today()
      AND ex_dividend_date >= today() - 400
    GROUP BY ticker
),
px AS (
    SELECT
        ticker,
        toFloat64(argMax(close, date)) AS last_close
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('KO', 'JNJ', 'XOM', 'CVX', 'PG', 'IBM', 'CSCO')
      AND date >= today() - 14
    GROUP BY ticker
)
SELECT
    d.ticker                                                  AS ticker,
    round(toFloat64(d.quarterly_dividend), 2)                 AS quarterly_dividend_usd,
    round(100 * 4 * toFloat64(d.quarterly_dividend) / p.last_close, 2) AS dividend_yield_pct
FROM divs AS d
INNER JOIN px AS p ON p.ticker = d.ticker
ORDER BY dividend_yield_pct DESC

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