net_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 2026-09-28, from us-dividend-tax-for-israeli-investors.
| ticker | gross_yield_pct | net_yield_pct |
|---|---|---|
| CVX | 3.4 | 2.55 |
| PG | 2.93 | 2.2 |
| KO | 2.39 | 1.79 |
| JNJ | 1.95 | 1.46 |
| MSFT | 0.71 | 0.53 |
| AAPL | 0.31 | 0.23 |
- 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 3.4 | percent |
net_yield_pct |
number | 0.23 to 2.55 | 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(100 * d.annual_div / p.last_close, 2) AS gross_yield_pct,
round(100 * d.annual_div * 0.75 / p.last_close, 2) AS net_yield_pct
FROM
(
SELECT
ticker,
sum(amt) AS annual_div
FROM
(
SELECT
ticker,
ex_dividend_date,
toFloat64(any(cash_amount)) AS amt
FROM global_markets.stocks_dividends
WHERE ticker IN ('AAPL', 'MSFT', 'KO', 'PG', 'JNJ', '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,
toFloat64(argMax(close, date)) AS last_close
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('AAPL', 'MSFT', 'KO', 'PG', 'JNJ', '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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