STRASMORE/EXPLORE 3,214 QUERIES

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.

as of series 15×4read in context →
dividend_history — 15 rows by 4 columns, computed from US exchange, SIP and OPRA data.
monthquarter_labelabbv_usdpfe_usd
2023-01Q1 20231.480.41
2023-04Q2 20231.480.41
2023-07Q3 20231.480.41
2023-10Q4 20231.480.41
2024-01Q1 20241.550.42
2024-04Q2 20241.550.42
2024-07Q3 20241.550.42
2024-10Q4 20241.550.42
2025-01Q1 20251.640.43
2025-04Q2 20251.640.43
2025-07Q3 20251.640.43
2025-10Q4 20251.640.43
2026-01Q1 20261.730.43
2026-04Q2 20261.730.43
2026-07Q3 20261.730.43
Rows × columns
15 × 4
Computed
Completeness
No missing values
Source
US exchange, SIP and OPRA market data
Licence
Strasmore terms · free, no signup
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for dividend_history, derived from the stored result.
ColumnTypeRangeNotes
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
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