dividen_jnj
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 us-dividend-tax-for-malaysian-investors.
| tarikh_iso | tarikh_ex | kasar_usd | ditahan_usd | bersih_usd |
|---|---|---|---|---|
| 2023-11-20 | 20 November 2023 | 1.19 | 0.357 | 0.833 |
| 2024-02-16 | 16 Februari 2024 | 1.19 | 0.357 | 0.833 |
| 2024-05-20 | 20 Mei 2024 | 1.24 | 0.372 | 0.868 |
| 2024-08-27 | 27 Ogos 2024 | 1.24 | 0.372 | 0.868 |
| 2024-11-26 | 26 November 2024 | 1.24 | 0.372 | 0.868 |
| 2025-02-18 | 18 Februari 2025 | 1.24 | 0.372 | 0.868 |
| 2025-05-27 | 27 Mei 2025 | 1.3 | 0.39 | 0.91 |
| 2025-08-26 | 26 Ogos 2025 | 1.3 | 0.39 | 0.91 |
| 2025-11-25 | 25 November 2025 | 1.3 | 0.39 | 0.91 |
| 2026-02-24 | 24 Februari 2026 | 1.3 | 0.39 | 0.91 |
| 2026-05-26 | 26 Mei 2026 | 1.34 | 0.402 | 0.938 |
| 2026-08-25 | 25 Ogos 2026 | 1.34 | 0.402 | 0.938 |
- Rows × columns
- 12 × 5
- 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 |
|---|---|---|---|
tarikh_iso |
date | 2023-11-20 to 2026-08-25 | |
tarikh_ex |
text | 12 distinct values | |
kasar_usd |
number | 1.19 to 1.34 | US dollars |
ditahan_usd |
number | 0.357 to 0.402 | US dollars |
bersih_usd |
number | 0.833 to 0.938 | 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
toString(ex_dividend_date) AS tarikh_iso,
concat(
toString(toDayOfMonth(toDate(ex_dividend_date))), ' ',
arrayElement(['Januari', 'Februari', 'Mac', 'April', 'Mei', 'Jun',
'Julai', 'Ogos', 'September', 'Oktober', 'November', 'Disember'],
toMonth(toDate(ex_dividend_date))), ' ',
toString(toYear(toDate(ex_dividend_date)))
) AS tarikh_ex,
round(toFloat64(max(cash_amount)), 4) AS kasar_usd,
round(toFloat64(max(cash_amount)) * 0.30, 4) AS ditahan_usd,
round(toFloat64(max(cash_amount)) * 0.70, 4) AS bersih_usd
FROM global_markets.stocks_dividends
WHERE ticker = 'JNJ'
AND currency = 'USD'
AND frequency = 4
AND ex_dividend_date <= today()
AND ex_dividend_date > today() - 1100
GROUP BY ex_dividend_date
ORDER BY ex_dividend_date
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.