ko_by_year

Name: ko_by_year
Creator: Strasmore
Published: 2026-09-30
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 2026-09-30, from us-dividend-yield-for-chinese-investors.

as of 2026-09-30 table 7×5read in context →

ko_by_year — 7 rows by 5 columns, computed 2026-09-30 from US exchange, SIP and OPRA data.
year	dps_usd	gross_yield_pct	net_yield_10_pct	net_yield_30_pct
2019	1.6	2.89	2.6	2.02
2020	1.64	2.99	2.69	2.09
2021	1.68	2.84	2.55	1.99
2022	1.76	2.77	2.49	1.94
2023	1.84	3.12	2.81	2.19
2024	1.94	3.12	2.8	2.18
2025	2.04	2.92	2.63	2.04

Rows × columns: 7 × 5
Computed: 2026-09-30
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 ko_by_year, derived from the stored result.
Column	Type	Range	Notes
`year`	text	7 distinct values (2019, 2020, 2021…)
`dps_usd`	number	1.6 to 2.04	US dollars
`gross_yield_pct`	number	2.77 to 3.12	percent
`net_yield_10_pct`	number	2.49 to 2.81	percent
`net_yield_30_pct`	number	1.94 to 2.19	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 2026-09-30, 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
    toString(y.year)                                        AS year,
    round(y.dps_usd, 4)                                     AS dps_usd,
    round(100 * y.dps_usd / p.year_close, 2)                AS gross_yield_pct,
    round(100 * y.dps_usd * 0.90 / p.year_close, 2)         AS net_yield_10_pct,
    round(100 * y.dps_usd * 0.70 / p.year_close, 2)         AS net_yield_30_pct
FROM
(
    SELECT
        toYear(ex_dividend_date)         AS year,
        toFloat64(sum(amount))           AS dps_usd
    FROM
    (
        SELECT
            id,
            ex_dividend_date,
            any(cash_amount) AS amount
        FROM global_markets.stocks_dividends
        WHERE ticker = 'KO'
          AND ex_dividend_date >= '2019-01-01'
          AND ex_dividend_date <  toStartOfYear(today())
        GROUP BY id, ex_dividend_date
    )
    GROUP BY year
) AS y
INNER JOIN
(
    SELECT
        toYear(date)                   AS year,
        toFloat64(argMax(close, date)) AS year_close
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'KO'
      AND date >= '2019-01-01'
      AND date <  toStartOfYear(today())
    GROUP BY year
) AS p ON p.year = y.year
ORDER BY year

SQL to run

SELECT
    toString(y.year)                                        AS year,
    round(y.dps_usd, 4)                                     AS dps_usd,
    round(100 * y.dps_usd / p.year_close, 2)                AS gross_yield_pct,
    round(100 * y.dps_usd * 0.90 / p.year_close, 2)         AS net_yield_10_pct,
    round(100 * y.dps_usd * 0.70 / p.year_close, 2)         AS net_yield_30_pct
FROM
(
    SELECT
        toYear(ex_dividend_date)         AS year,
        toFloat64(sum(amount))           AS dps_usd
    FROM
    (
        SELECT
            id,
            ex_dividend_date,
            any(cash_amount) AS amount
        FROM global_markets.stocks_dividends
        WHERE ticker = 'KO'
          AND ex_dividend_date >= '2019-01-01'
          AND ex_dividend_date <  toStartOfYear(today())
        GROUP BY id, ex_dividend_date
    )
    GROUP BY year
) AS y
INNER JOIN
(
    SELECT
        toYear(date)                   AS year,
        toFloat64(argMax(close, date)) AS year_close
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'KO'
      AND date >= '2019-01-01'
      AND date <  toStartOfYear(today())
    GROUP BY year
) AS p ON p.year = y.year
ORDER BY year

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