STRASMORE/EXPLORE 2,767 QUERIES

pfe_yield_math

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.

as of table 9×5read in context →
pfe_yield_math — 9 rows by 5 columns, computed from US exchange, SIP and OPRA data.
month_endmonth_labelclose_priceannual_rateindicated_yield_pct
2026-01-30Jan 30, 202626.441.726.51
2026-02-27Feb 27, 202627.651.726.22
2026-03-31Mar 31, 202628.081.726.13
2026-04-30Apr 30, 202626.71.726.44
2026-05-29May 29, 202626.181.726.57
2026-06-30Jun 30, 202624.081.727.14
2026-07-31Jul 31, 202625.011.726.88
2026-08-31Aug 31, 202628.461.726.04
2026-09-29Sep 29, 202628.781.725.98
Rows × columns
9 × 5
Period covered
to
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 pfe_yield_math, derived from the stored result.
ColumnTypeRangeNotes
month_end date 2026-01-30 to 2026-09-29
month_label text 9 distinct values (Apr 30, 2026, Aug 31, 2026, Feb 27, 2026…)
close_price number 24.08 to 28.78 US dollars
annual_rate number every row is 1.72 ratio or rate
indicated_yield_pct number 5.98 to 7.14 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 monthly AS
(
    SELECT
        toStartOfMonth(date)           AS m,
        max(date)                      AS last_session,
        argMax(toFloat64(close), date) AS month_close
    FROM global_markets.stocks_daily_aggs
    WHERE ticker = 'PFE'
      AND date >= '2026-01-01'
      AND date <  '2026-10-01'
    GROUP BY m
),
quarterly 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 >= '2024-01-01'
      AND ex_dividend_date <  '2027-01-01'
    GROUP BY ex_dividend_date
)
SELECT
    toString(max(mo.last_session))                                        AS month_end,
    formatDateTime(max(mo.last_session), '%b %e, %Y')                     AS month_label,
    round(max(mo.month_close), 2)                                         AS close_price,
    round(4 * argMax(q.amount, q.ex_date), 4)                             AS annual_rate,
    round(100 * 4 * argMax(q.amount, q.ex_date) / max(mo.month_close), 2) AS indicated_yield_pct
FROM monthly AS mo
CROSS JOIN quarterly AS q
WHERE q.ex_date <= mo.last_session
GROUP BY mo.m
ORDER BY mo.m
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