yield_basket

Name: yield_basket
Creator: Strasmore
Published: 2026-10-06
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 2026-10-06, from high-dividend-us-stocks-for-indian-investors.

as of 2026-10-06 ranking 12×3read in context →

yield_basket — 12 rows by 3 columns, computed 2026-10-06 from US exchange, SIP and OPRA data.
ticker	div_ttm_usd	gross_yield_pct
MO	4.29	6.32
VZ	2.8	6.09
PEP	5.8	4.61
T	1.11	4.58
CVX	7.05	3.43
IBM	6.74	3.01
PG	4.29	2.9
ABBV	6.83	2.57
XOM	4.12	2.53
KO	2.1	2.43
JNJ	5.28	2.08
CSCO	1.67	1.48

Rows × columns: 12 × 3
Computed: 2026-10-06
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_basket, derived from the stored result.
Column	Type	Range	Notes
`ticker`	text	12 distinct values (ABBV, CSCO, CVX…)
`div_ttm_usd`	number	1.11 to 7.05	US dollars
`gross_yield_pct`	number	1.48 to 6.32	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 2026-10-06, 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
    p.ticker                                   AS ticker,
    round(d.div_ttm, 2)                        AS div_ttm_usd,
    round(100 * d.div_ttm / p.last_close, 2)   AS gross_yield_pct
FROM
(
    SELECT
        ticker,
        argMax(toFloat64(close), date) AS last_close
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('ABBV','CSCO','CVX','IBM','JNJ','KO','MO','PEP','PG','T','VZ','XOM')
      AND date >= today() - 30
    GROUP BY ticker
) AS p
INNER JOIN
(
    SELECT
        ticker,
        sum(amt) AS div_ttm
    FROM
    (
        SELECT
            ticker,
            ex_dividend_date,
            max(toFloat64(cash_amount)) AS amt
        FROM global_markets.stocks_dividends
        WHERE ticker IN ('ABBV','CSCO','CVX','IBM','JNJ','KO','MO','PEP','PG','T','VZ','XOM')
          AND ex_dividend_date >= today() - 365
          AND ex_dividend_date <= today()
          AND frequency IN (4, 12)
        GROUP BY ticker, ex_dividend_date
    )
    GROUP BY ticker
) AS d ON d.ticker = p.ticker
ORDER BY gross_yield_pct DESC

SQL to run

SELECT
    p.ticker                                   AS ticker,
    round(d.div_ttm, 2)                        AS div_ttm_usd,
    round(100 * d.div_ttm / p.last_close, 2)   AS gross_yield_pct
FROM
(
    SELECT
        ticker,
        argMax(toFloat64(close), date) AS last_close
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('ABBV','CSCO','CVX','IBM','JNJ','KO','MO','PEP','PG','T','VZ','XOM')
      AND date >= today() - 30
    GROUP BY ticker
) AS p
INNER JOIN
(
    SELECT
        ticker,
        sum(amt) AS div_ttm
    FROM
    (
        SELECT
            ticker,
            ex_dividend_date,
            max(toFloat64(cash_amount)) AS amt
        FROM global_markets.stocks_dividends
        WHERE ticker IN ('ABBV','CSCO','CVX','IBM','JNJ','KO','MO','PEP','PG','T','VZ','XOM')
          AND ex_dividend_date >= today() - 365
          AND ex_dividend_date <= today()
          AND frequency IN (4, 12)
        GROUP BY ticker, ex_dividend_date
    )
    GROUP BY ticker
) AS d ON d.ticker = p.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