yield_gap
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 2026-10-16, from us-dividend-tax-for-pakistani-investors.
| ticker | gross_yield_pct | net_yield_pct |
|---|---|---|
| CVX | 3.19 | 2.24 |
| PG | 2.72 | 1.9 |
| KO | 2.26 | 1.58 |
| JNJ | 2.07 | 1.45 |
| MSFT | 0.67 | 0.47 |
| AAPL | 0.31 | 0.22 |
- Rows × columns
- 6 × 3
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
ticker |
text | 6 distinct values (AAPL, CVX, JNJ…) | |
gross_yield_pct |
number | 0.31 to 3.19 | percent |
net_yield_pct |
number | 0.22 to 2.24 | 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 , 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
d.ticker AS ticker,
round(toFloat64(d.ttm_dividend) / toFloat64(p.last_close) * 100, 2) AS gross_yield_pct,
round(toFloat64(d.ttm_dividend) / toFloat64(p.last_close) * 70, 2) AS net_yield_pct
FROM
(
SELECT
ticker,
sum(cash_amount) AS ttm_dividend
FROM
(
SELECT
ticker,
ex_dividend_date,
max(cash_amount) AS cash_amount
FROM global_markets.stocks_dividends
WHERE ticker IN ('AAPL', 'MSFT', 'JNJ', 'KO', 'PG', 'CVX')
AND currency = 'USD'
AND ex_dividend_date >= today() - 365
AND ex_dividend_date <= today()
GROUP BY ticker, ex_dividend_date
)
GROUP BY ticker
) AS d
INNER JOIN
(
SELECT
ticker,
argMax(close, date) AS last_close
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('AAPL', 'MSFT', 'JNJ', 'KO', 'PG', 'CVX')
AND date >= today() - 30
GROUP BY ticker
) AS p ON p.ticker = d.ticker
ORDER BY gross_yield_pct DESC
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