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Typical raise month by company: twelve dividend growers, raises since 2016

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 2026-08-03, from When Companies Announce Dividend Raises.

as of series 12×5read in context →
Typical raise month by company: twelve dividend growers, raises since 2016 — 12 rows by 5 columns, computed from US exchange, SIP and OPRA data.
tickertypical_monthraises_totalraises_in_typical_monthsame_month_pct
HDFeb1111100
KOFeb1111100
JNJApr1111100
PGApr1010100
WMTFeb99100
MMMFeb111091
CATJun9889
ADPNov121083
PEPMay11982
CVXJan10770
MCDSep11655
XOMOct9444
Rows × columns
12 × 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 Typical raise month by company: twelve dividend growers, raises since 2016, derived from the stored result.
ColumnTypeRangeNotes
ticker text 12 distinct values (ADP, CAT, CVX…)
typical_month date Apr to Sep
raises_total number 9 to 12
raises_in_typical_month number 4 to 11
same_month_pct number 44 to 100 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.

the exact SQL behind every number
WITH quarterly AS (
    SELECT ticker,
           ex_dividend_date,
           round(max(toFloat64(cash_amount)), 4) AS amount,
           max(declaration_date) AS declared
    FROM global_markets.stocks_dividends
    WHERE ticker IN ('JNJ','KO','PG','PEP','MCD','WMT','CVX','XOM','MMM','CAT','HD','ADP')
      AND distribution_type = 'recurring'
      AND frequency = 4
      AND cash_amount > 0
      AND declaration_date > toDate('2015-06-30')
      AND ex_dividend_date >= toDate('2015-07-01')
      AND ex_dividend_date <= toDate('2026-07-31')
    GROUP BY ticker, ex_dividend_date
),
stepped AS (
    SELECT ticker,
           declared,
           amount,
           ex_dividend_date,
           lagInFrame(amount, 1) OVER (PARTITION BY ticker ORDER BY ex_dividend_date ASC
                                       ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prior_amount,
           lagInFrame(ex_dividend_date, 1) OVER (PARTITION BY ticker ORDER BY ex_dividend_date ASC
                                       ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prior_ex_date
    FROM quarterly
),
raises AS (
    SELECT ticker,
           formatDateTimeInJodaSyntax(declared, 'MMM') AS month_label,
           toMonth(declared) AS month_index
    FROM stepped
    WHERE prior_amount > 0
      AND amount > prior_amount * 1.005
      AND dateDiff('day', prior_ex_date, ex_dividend_date) BETWEEN 45 AND 200
),
per_month AS (
    SELECT ticker,
           month_label,
           month_index,
           count() AS raises_in_month
    FROM raises
    GROUP BY ticker, month_label, month_index
)
SELECT ticker,
       argMax(month_label, raises_in_month * 100 + month_index) AS typical_month,
       sum(raises_in_month) AS raises_total,
       max(raises_in_month) AS raises_in_typical_month,
       round(100 * max(raises_in_month) / sum(raises_in_month)) AS same_month_pct
FROM per_month
GROUP BY ticker
HAVING sum(raises_in_month) >= 5
ORDER BY same_month_pct DESC, raises_total DESC

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