tax_wedge
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 2026-10-09, from aapl-dividend-for-thai-investors.
| ex_date | gross_usd | net_w8ben_usd | net_no_w8ben_usd |
|---|---|---|---|
| 2023-11-10 | 24 | 20.4 | 16.8 |
| 2024-02-09 | 24 | 20.4 | 16.8 |
| 2024-05-10 | 25 | 21.25 | 17.5 |
| 2024-08-12 | 25 | 21.25 | 17.5 |
| 2024-11-08 | 25 | 21.25 | 17.5 |
| 2025-02-10 | 25 | 21.25 | 17.5 |
| 2025-05-12 | 26 | 22.1 | 18.2 |
| 2025-08-11 | 26 | 22.1 | 18.2 |
| 2025-11-10 | 26 | 22.1 | 18.2 |
| 2026-02-09 | 26 | 22.1 | 18.2 |
| 2026-05-11 | 27 | 22.95 | 18.9 |
| 2026-08-10 | 27 | 22.95 | 18.9 |
- Rows × columns
- 12 × 4
- Period covered
- to
- 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 |
|---|---|---|---|
ex_date |
date | 2023-11-10 to 2026-08-10 | |
gross_usd |
number | 24 to 27 | US dollars |
net_w8ben_usd |
number | 20.4 to 22.95 | US dollars |
net_no_w8ben_usd |
number | 16.8 to 18.9 | 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 , 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
ex_date AS ex_date,
round(toFloat64(amount) * 100, 2) AS gross_usd,
round(toFloat64(amount) * 100 * 0.85, 2) AS net_w8ben_usd,
round(toFloat64(amount) * 100 * 0.70, 2) AS net_no_w8ben_usd
FROM
(
SELECT
id,
any(ex_dividend_date) AS ex_date,
max(cash_amount) AS amount
FROM global_markets.stocks_dividends
WHERE ticker = 'AAPL'
AND ex_dividend_date >= today() - 1100
AND ex_dividend_date <= today()
GROUP BY id
)
ORDER BY ex_date
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