withholding_cost

Name: withholding_cost
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 10×5read in context →

withholding_cost — 10 rows by 5 columns, computed 2026-09-30 from US exchange, SIP and OPRA data.
ticker	gross_div_usd	net_10_usd	net_30_usd	extra_withheld_usd
VZ	606.29	545.66	424.4	121.26
PEP	450.66	405.6	315.46	90.13
CVX	343.63	309.26	240.54	68.73
HD	321.98	289.78	225.39	64.4
MCD	317.85	286.06	222.49	63.57
IBM	306.04	275.44	214.23	61.21
ABBV	258.28	232.45	180.8	51.66
KO	241.31	217.18	168.92	48.26
JNJ	197.01	177.31	137.91	39.4
CSCO	155.32	139.79	108.73	31.06

Rows × columns: 10 × 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 withholding_cost, derived from the stored result.
Column	Type	Range	Notes
`ticker`	text	10 distinct values (ABBV, CSCO, CVX…)
`gross_div_usd`	number	155.32 to 606.29	US dollars
`net_10_usd`	number	139.79 to 545.66	US dollars
`net_30_usd`	number	108.73 to 424.4	US dollars
`extra_withheld_usd`	number	31.06 to 121.26	US dollars

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.

WITH
    ttm AS
    (
        SELECT
            ticker,
            round(toFloat64(sum(amount)), 4) AS dps_ttm_usd
        FROM
        (
            SELECT
                ticker,
                id,
                any(cash_amount) AS amount
            FROM global_markets.stocks_dividends
            WHERE ticker IN ('KO', 'JNJ', 'IBM', 'CVX', 'PEP', 'MCD', 'HD', 'CSCO', 'ABBV', 'VZ')
              AND ex_dividend_date >  today() - 365
              AND ex_dividend_date <= today()
            GROUP BY ticker, id
        )
        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', 'IBM', 'CVX', 'PEP', 'MCD', 'HD', 'CSCO', 'ABBV', 'VZ')
          AND date > today() - 30
        GROUP BY ticker
    )
SELECT
    t.ticker                                                          AS ticker,
    round(10000 * t.dps_ttm_usd / p.last_close, 2)                    AS gross_div_usd,
    round(10000 * t.dps_ttm_usd / p.last_close * 0.90, 2)             AS net_10_usd,
    round(10000 * t.dps_ttm_usd / p.last_close * 0.70, 2)             AS net_30_usd,
    round(10000 * t.dps_ttm_usd / p.last_close * 0.20, 2)             AS extra_withheld_usd
FROM ttm AS t
INNER JOIN px AS p ON p.ticker = t.ticker
ORDER BY gross_div_usd DESC

SQL to run

WITH
    ttm AS
    (
        SELECT
            ticker,
            round(toFloat64(sum(amount)), 4) AS dps_ttm_usd
        FROM
        (
            SELECT
                ticker,
                id,
                any(cash_amount) AS amount
            FROM global_markets.stocks_dividends
            WHERE ticker IN ('KO', 'JNJ', 'IBM', 'CVX', 'PEP', 'MCD', 'HD', 'CSCO', 'ABBV', 'VZ')
              AND ex_dividend_date >  today() - 365
              AND ex_dividend_date <= today()
            GROUP BY ticker, id
        )
        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', 'IBM', 'CVX', 'PEP', 'MCD', 'HD', 'CSCO', 'ABBV', 'VZ')
          AND date > today() - 30
        GROUP BY ticker
    )
SELECT
    t.ticker                                                          AS ticker,
    round(10000 * t.dps_ttm_usd / p.last_close, 2)                    AS gross_div_usd,
    round(10000 * t.dps_ttm_usd / p.last_close * 0.90, 2)             AS net_10_usd,
    round(10000 * t.dps_ttm_usd / p.last_close * 0.70, 2)             AS net_30_usd,
    round(10000 * t.dps_ttm_usd / p.last_close * 0.20, 2)             AS extra_withheld_usd
FROM ttm AS t
INNER JOIN px AS p ON p.ticker = t.ticker
ORDER BY gross_div_usd DESC

⌘/Ctrl + Enter

在你的 AI 助手中使用这些数据

打开即可查询，已带上本页数据。免费，无需账号。

Claude ChatGPT Gemini Muse 你自己的智能体