STRASMORE/EXPLORE 2,214 QUERIES

cadence

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 2026-09-12, from mo-dividend-increase-history.

as of series 2×5read in context →
cadence — 2 rows by 5 columns, computed from US exchange, SIP and OPRA data.
tickerbusiest_monthraises_in_busiest_monthraises_since_2008share_pct
MOAugust121485.7
PMSeptember121392.3
Rows × columns
2 × 5
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 cadence, derived from the stored result.
ColumnTypeRangeNotes
ticker text 2 distinct values (MO, PM)
busiest_month text 2 distinct values (August, September)
raises_in_busiest_month number every row is 12
raises_since_2008 number 13 to 14
share_pct number 85.7 to 92.3 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 paid AS
(
    SELECT
        ticker,
        ex_dividend_date      AS ex_date,
        max(declaration_date) AS declared,
        max(cash_amount)      AS amount
    FROM global_markets.stocks_dividends
    WHERE ticker IN ('MO', 'PM')
      AND ex_dividend_date >= toDate('2008-04-01')
    GROUP BY ticker, ex_dividend_date
),
steps AS
(
    SELECT
        ticker,
        declared,
        amount,
        lagInFrame(amount) OVER (PARTITION BY ticker ORDER BY ex_date ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW) AS prior
    FROM paid
),
by_month AS
(
    SELECT
        ticker,
        monthName(declared) AS announced_in,
        count()             AS raises
    FROM steps
    WHERE prior > 0
      AND amount > prior
      AND declared > toDate('2000-01-01')
    GROUP BY ticker, announced_in
)
SELECT
    ticker,
    argMax(announced_in, raises)               AS busiest_month,
    max(raises)                                AS raises_in_busiest_month,
    sum(raises)                                AS raises_since_2008,
    round(100 * max(raises) / sum(raises), 1)  AS share_pct
FROM by_month
GROUP BY ticker
ORDER BY ticker

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