pfe_ex_date_open
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 2026-09-29, from pfe-dividend-2026.
| ex_date | ex_date_label | dividend_per_share | prior_close | ex_date_open | open_vs_prior_close_pct |
|---|---|---|---|---|---|
| 2024-07-26 | Jul 26, 2024 | 0.42 | 30.18 | 30.15 | -0.1 |
| 2024-11-08 | Nov 8, 2024 | 0.42 | 27.46 | 27.11 | -1.27 |
| 2025-01-24 | Jan 24, 2025 | 0.43 | 26.44 | 26.02 | -1.59 |
| 2025-05-09 | May 9, 2025 | 0.43 | 22.97 | 22.51 | -2 |
| 2025-07-25 | Jul 25, 2025 | 0.43 | 25.35 | 24.97 | -1.5 |
| 2025-11-07 | Nov 7, 2025 | 0.43 | 24.85 | 24.33 | -2.09 |
| 2026-01-23 | Jan 23, 2026 | 0.43 | 26.1 | 25.58 | -1.99 |
| 2026-05-08 | May 8, 2026 | 0.43 | 26.48 | 26.16 | -1.21 |
| 2026-07-24 | Jul 24, 2026 | 0.43 | 25.01 | 24.62 | -1.56 |
- Rows × columns
- 9 × 6
- 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 | 2024-07-26 to 2026-07-24 | |
ex_date_label |
text | 9 distinct values (Jan 23, 2026, Jan 24, 2025, Jul 24, 2026…) | |
dividend_per_share |
number | 0.42 to 0.43 | |
prior_close |
number | 22.97 to 30.18 | US dollars |
ex_date_open |
number | 22.51 to 30.15 | US dollars |
open_vs_prior_close_pct |
number | -2.09 to -0.1 | percent |
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 px AS
(
SELECT
date,
toFloat64(any(open)) AS open_px,
toFloat64(any(close)) AS close_px
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'PFE'
AND date >= '2024-01-01'
AND date < '2026-10-01'
GROUP BY date
),
lagged AS
(
SELECT
date,
open_px,
lagInFrame(close_px, 1) OVER (ORDER BY date ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prior_close
FROM px
),
divs AS
(
SELECT
ex_dividend_date AS ex_date,
toFloat64(max(cash_amount)) AS amount
FROM global_markets.stocks_dividends
WHERE ticker = 'PFE'
AND cash_amount > 0
AND ex_dividend_date >= '2024-06-01'
GROUP BY ex_dividend_date
)
SELECT
toString(d.ex_date) AS ex_date,
formatDateTime(d.ex_date, '%b %e, %Y') AS ex_date_label,
round(d.amount, 4) AS dividend_per_share,
round(l.prior_close, 2) AS prior_close,
round(l.open_px, 2) AS ex_date_open,
round(100 * (l.open_px - l.prior_close) / l.prior_close, 2) AS open_vs_prior_close_pct
FROM divs AS d
INNER JOIN lagged AS l ON l.date = d.ex_date
WHERE l.prior_close > 0
ORDER BY d.ex_date
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.