cash_vs_price

Name: cash_vs_price
Creator: Strasmore
Published: 2026-09-24
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 2026-09-24, from weekly-dividend-etfs-explained.

as of 2026-09-24 ranking 10×4read in context →

cash_vs_price — 10 rows by 4 columns, computed 2026-09-24 from US exchange, SIP and OPRA data.
ticker	distributions_pct	price_change_pct	cash_plus_price_pct
AMDW	106.5	120.6	227.1
WNTR	84.1	-56.5	27.7
MRNY	80.7	112	192.7
AMDY	71.5	31.1	102.6
AMYY	68.6	-44.4	24.1
ARMW	61	0.9	61.9
NVYY	56.9	-52.5	4.3
SMYY	55	-76.6	-21.6
IOYY	53.6	-75.2	-21.6
FIAT	52	-48.2	3.8

Rows × columns: 10 × 4
Computed: 2026-09-24
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 cash_vs_price, derived from the stored result.
Column	Type	Range	Notes
`ticker`	text	10 distinct values (AMDW, AMDY, AMYY…)
`distributions_pct`	number	52 to 106.5	percent
`price_change_pct`	number	-76.6 to 120.6	percent
`cash_plus_price_pct`	number	-21.6 to 227.1	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 2026-09-24, 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
    weekly AS
    (
        SELECT ticker
        FROM global_markets.stocks_dividends
        WHERE ex_dividend_date >= today() - 365
          AND ex_dividend_date <= today()
          AND ticker NOT IN ('SPCX')
        GROUP BY ticker
        HAVING countDistinct(ex_dividend_date) >= 40
    ),
    paid AS
    (
        SELECT
            ticker,
            sum(amount) AS cash_12m
        FROM
        (
            SELECT
                ticker,
                ex_dividend_date,
                max(cash_amount) AS amount
            FROM global_markets.stocks_dividends
            WHERE ex_dividend_date >= today() - 365
              AND ex_dividend_date <= today()
              AND ticker IN (SELECT ticker FROM weekly)
            GROUP BY ticker, ex_dividend_date
        )
        GROUP BY ticker
    ),
    px AS
    (
        SELECT
            ticker,
            toFloat64(argMin(close, date)) AS start_close,
            toFloat64(argMax(close, date)) AS end_close
        FROM global_markets.stocks_daily_aggs
        WHERE date >= today() - 365
          AND ticker IN (SELECT ticker FROM weekly)
        GROUP BY ticker
        HAVING countDistinct(date) >= 220
    )
SELECT
    c.ticker                                                                                AS ticker,
    round(100 * toFloat64(c.cash_12m) / p.start_close, 1)                                   AS distributions_pct,
    round(100 * (p.end_close - p.start_close) / p.start_close, 1)                           AS price_change_pct,
    round(100 * (toFloat64(c.cash_12m) + p.end_close - p.start_close) / p.start_close, 1)   AS cash_plus_price_pct
FROM paid AS c
INNER JOIN px AS p ON p.ticker = c.ticker
ORDER BY distributions_pct DESC
LIMIT 10

SQL to run

WITH
    weekly AS
    (
        SELECT ticker
        FROM global_markets.stocks_dividends
        WHERE ex_dividend_date >= today() - 365
          AND ex_dividend_date <= today()
          AND ticker NOT IN ('SPCX')
        GROUP BY ticker
        HAVING countDistinct(ex_dividend_date) >= 40
    ),
    paid AS
    (
        SELECT
            ticker,
            sum(amount) AS cash_12m
        FROM
        (
            SELECT
                ticker,
                ex_dividend_date,
                max(cash_amount) AS amount
            FROM global_markets.stocks_dividends
            WHERE ex_dividend_date >= today() - 365
              AND ex_dividend_date <= today()
              AND ticker IN (SELECT ticker FROM weekly)
            GROUP BY ticker, ex_dividend_date
        )
        GROUP BY ticker
    ),
    px AS
    (
        SELECT
            ticker,
            toFloat64(argMin(close, date)) AS start_close,
            toFloat64(argMax(close, date)) AS end_close
        FROM global_markets.stocks_daily_aggs
        WHERE date >= today() - 365
          AND ticker IN (SELECT ticker FROM weekly)
        GROUP BY ticker
        HAVING countDistinct(date) >= 220
    )
SELECT
    c.ticker                                                                                AS ticker,
    round(100 * toFloat64(c.cash_12m) / p.start_close, 1)                                   AS distributions_pct,
    round(100 * (p.end_close - p.start_close) / p.start_close, 1)                           AS price_change_pct,
    round(100 * (toFloat64(c.cash_12m) + p.end_close - p.start_close) / p.start_close, 1)   AS cash_plus_price_pct
FROM paid AS c
INNER JOIN px AS p ON p.ticker = c.ticker
ORDER BY distributions_pct DESC
LIMIT 10

⌘/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

More from this analysisweekly-dividend-etfs-explained

payout_cadence ranking 12×3 → ex_date_drop ranking 10×4 → weekly_payer_growth ranking 5×2 → ex_date_trace series 103×4 → Top 25 weekly-options underlyings by distinct contracts traded, with expiration weekdays ranking 25×4 → Annualized volatility vs total return, 25 large caps, calmest to wildest (~2 years) ranking 25×3 → See all 2,549 queries →