STRASMORE/EXPLORE 3,022 QUERIES

Every PG quarterly rate increase since 2017, and the size of each step

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 2026-10-04, from PG Dividend 2026: Dates, History and Yield.

as of series 10×6read in context →
Every PG quarterly rate increase since 2017, and the size of each step — 10 rows by 6 columns, computed from US exchange, SIP and OPRA data.
ex_dividend_dateraise_labelprior_quarterly_ratenew_quarterly_rateraise_pctprior_five_avg_pct
2017-04-19Apr 20170.66950.68963None
2018-04-19Apr 20180.68960.717243
2019-04-17Apr 20190.71720.745943.5
2020-04-23Apr 20200.74590.79076.013.67
2021-04-22Apr 20210.79070.8698104.25
2022-04-21Apr 20220.86980.913355.4
2023-04-20Apr 20230.91330.940735.8
2024-04-18Apr 20240.94071.00656.995.6
2025-04-21Apr 20251.00651.056856.2
2026-04-24Apr 20261.05681.088536
Rows × columns
10 × 6
Period covered
to
Computed
Completeness
Some fields are partly empty — see the columns below
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 Every PG quarterly rate increase since 2017, and the size of each step, derived from the stored result.
ColumnTypeRangeNotes
ex_dividend_date date 2017-04-19 to 2026-04-24
raise_label text 10 distinct values (Apr 2017, Apr 2018, Apr 2019…)
prior_quarterly_rate number 0.6695 to 1.0568 ratio or rate
new_quarterly_rate number 0.6896 to 1.0885 ratio or rate
raise_pct number 3 to 10 percent
prior_five_avg_pct number 3 to 6.2 percent · 9 of 10 rows populated

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 rates AS
(
    SELECT
        ex_dividend_date,
        max(toFloat64(cash_amount)) AS rate
    FROM global_markets.stocks_dividends
    WHERE ticker = 'PG'
      AND ex_dividend_date >= '2017-01-01'
    GROUP BY ex_dividend_date
),
stepped AS
(
    SELECT
        ex_dividend_date,
        rate,
        lagInFrame(rate, 1, 0.) OVER (ORDER BY ex_dividend_date ASC
            ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prev_rate
    FROM rates
),
raises AS
(
    SELECT
        ex_dividend_date,
        formatDateTime(ex_dividend_date, '%b %Y') AS raise_label,
        round(prev_rate, 4)                       AS prior_quarterly_rate,
        round(rate, 4)                            AS new_quarterly_rate,
        round(100 * (rate / prev_rate - 1), 2)    AS raise_pct
    FROM stepped
    WHERE prev_rate > 0
      AND rate > prev_rate * 1.005
)
SELECT
    toString(ex_dividend_date) AS ex_dividend_date,
    raise_label,
    prior_quarterly_rate,
    new_quarterly_rate,
    raise_pct,
    round(if(isNaN(trailing_avg), 0, trailing_avg), 2) AS prior_five_avg_pct
FROM
(
    SELECT
        ex_dividend_date,
        raise_label,
        prior_quarterly_rate,
        new_quarterly_rate,
        raise_pct,
        avg(raise_pct) OVER (ORDER BY ex_dividend_date ASC
            ROWS BETWEEN 5 PRECEDING AND 1 PRECEDING) AS trailing_avg
    FROM raises
)
ORDER BY ex_dividend_date
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