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.
| ticker | typical_month | raises_total | raises_in_typical_month | same_month_pct |
|---|---|---|---|---|
| HD | Feb | 11 | 11 | 100 |
| KO | Feb | 11 | 11 | 100 |
| JNJ | Apr | 11 | 11 | 100 |
| PG | Apr | 10 | 10 | 100 |
| WMT | Feb | 9 | 9 | 100 |
| MMM | Feb | 11 | 10 | 91 |
| CAT | Jun | 9 | 8 | 89 |
| ADP | Nov | 12 | 10 | 83 |
| PEP | May | 11 | 9 | 82 |
| CVX | Jan | 10 | 7 | 70 |
| MCD | Sep | 11 | 6 | 55 |
| XOM | Oct | 9 | 4 | 44 |
- Rows × columns
- 12 × 5
- 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 |
|---|---|---|---|
ticker |
text | 12 distinct values (ADP, CAT, CVX…) | |
typical_month |
text | 8 distinct values (Apr, Feb, Jan…) | |
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.
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 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