dividend_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 2026-10-08, from us-dividend-tax-for-german-investors.
| month | quarter_label | abbv_usd | pfe_usd |
|---|---|---|---|
| 2023-01 | Q1 2023 | 1.48 | 0.41 |
| 2023-04 | Q2 2023 | 1.48 | 0.41 |
| 2023-07 | Q3 2023 | 1.48 | 0.41 |
| 2023-10 | Q4 2023 | 1.48 | 0.41 |
| 2024-01 | Q1 2024 | 1.55 | 0.42 |
| 2024-04 | Q2 2024 | 1.55 | 0.42 |
| 2024-07 | Q3 2024 | 1.55 | 0.42 |
| 2024-10 | Q4 2024 | 1.55 | 0.42 |
| 2025-01 | Q1 2025 | 1.64 | 0.43 |
| 2025-04 | Q2 2025 | 1.64 | 0.43 |
| 2025-07 | Q3 2025 | 1.64 | 0.43 |
| 2025-10 | Q4 2025 | 1.64 | 0.43 |
| 2026-01 | Q1 2026 | 1.73 | 0.43 |
| 2026-04 | Q2 2026 | 1.73 | 0.43 |
| 2026-07 | Q3 2026 | 1.73 | 0.43 |
- Rows × columns
- 15 × 4
- 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 |
|---|---|---|---|
month |
text | 15 distinct values (2023-01, 2023-04, 2023-07…) | |
quarter_label |
text | 15 distinct values (Q1 2023, Q1 2024, Q1 2025…) | |
abbv_usd |
number | 1.48 to 1.73 | US dollars |
pfe_usd |
number | 0.41 to 0.43 | 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.
WITH payments AS
(
SELECT
ticker,
ex_dividend_date,
max(toFloat64(cash_amount)) AS amount
FROM global_markets.stocks_dividends
WHERE ticker IN ('ABBV', 'PFE')
AND currency = 'USD'
AND ex_dividend_date >= '2023-01-01'
AND ex_dividend_date < '2026-10-01'
GROUP BY ticker, ex_dividend_date
)
SELECT
formatDateTime(toStartOfQuarter(ex_dividend_date), '%Y-%m') AS month,
any(concat('Q', toString(toQuarter(ex_dividend_date)), ' ', toString(toYear(ex_dividend_date)))) AS quarter_label,
round(sumIf(amount, ticker = 'ABBV'), 4) AS abbv_usd,
round(sumIf(amount, ticker = 'PFE'), 4) AS pfe_usd
FROM payments
GROUP BY month
HAVING abbv_usd > 0 AND pfe_usd > 0
ORDER BY month
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.