jnj_history
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 2026-09-30, from us-dividend-tax-for-indian-investors.
| year | gross_dps_usd | net_dps_usd |
|---|---|---|
| 2016 | 3.15 | 2.36 |
| 2017 | 3.32 | 2.49 |
| 2018 | 3.54 | 2.66 |
| 2019 | 3.75 | 2.81 |
| 2020 | 3.98 | 2.98 |
| 2021 | 4.19 | 3.14 |
| 2022 | 4.45 | 3.34 |
| 2023 | 4.7 | 3.52 |
| 2024 | 4.91 | 3.68 |
| 2025 | 5.14 | 3.86 |
- Rows × columns
- 10 × 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 |
|---|---|---|---|
year |
text | 10 distinct values (2016, 2017, 2018…) | |
gross_dps_usd |
number | 3.15 to 5.14 | US dollars |
net_dps_usd |
number | 2.36 to 3.86 | 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(toYear(ex_date)) AS year,
round(sum(amount), 2) AS gross_dps_usd,
round(sum(amount) * 0.75, 2) AS net_dps_usd
FROM
(
SELECT
any(toFloat64(cash_amount)) AS amount,
any(ex_dividend_date) AS ex_date
FROM global_markets.stocks_dividends
WHERE ticker = 'JNJ'
AND ex_dividend_date >= '2016-01-01'
AND ex_dividend_date < '2026-01-01'
GROUP BY id
)
GROUP BY year
ORDER BY year
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.