STRASMORE/EXPLORE 3,293 QUERIES

megacap_yield

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 2026-11-01, from qqq-dividend.

as of ranking 10×4read in context →
megacap_yield — 10 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickerttm_usd_per_sharettm_yield_pctpayouts_12m
PEP5.8054.234
AVGO2.60.84
MSFT3.640.74
COST5.710.564
META2.10.344
AAPL1.060.314
GOOGL0.860.314
NVDA0.520.254
AMZN000
TSLA000
Rows × columns
10 × 4
Computed
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 megacap_yield, derived from the stored result.
ColumnTypeRangeNotes
ticker text 10 distinct values (AAPL, AMZN, AVGO…)
ttm_usd_per_share number 0 to 5.805 US dollars
ttm_yield_pct number 0 to 4.23 percent
payouts_12m number 0 to 4

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 , 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(ifNull(d.ttm_usd, 0), 4)                               AS ttm_usd_per_share,
    round(ifNull(d.ttm_usd, 0) / toFloat64(p.close) * 100, 2)    AS ttm_yield_pct,
    ifNull(d.payouts, 0)                                         AS payouts_12m
FROM
(
    SELECT
        ticker,
        argMax(close, date) AS close
    FROM global_markets.stocks_daily_aggs
    WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'AMZN', 'META', 'AVGO', 'GOOGL', 'TSLA', 'COST', 'PEP')
      AND date >= today() - 14
    GROUP BY ticker
) AS p
LEFT JOIN
(
    SELECT
        ticker,
        sum(usd)  AS ttm_usd,
        count()   AS payouts
    FROM
    (
        SELECT
            ticker,
            ex_dividend_date,
            max(toFloat64(cash_amount)) AS usd
        FROM global_markets.stocks_dividends
        WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'AMZN', 'META', 'AVGO', 'GOOGL', 'TSLA', 'COST', 'PEP')
          AND ex_dividend_date >  today() - 365
          AND ex_dividend_date <= today()
        GROUP BY ticker, ex_dividend_date
    )
    GROUP BY ticker
) AS d ON d.ticker = p.ticker
ORDER BY ttm_yield_pct DESC, ticker
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