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Increases, cuts and the typical raise this calendar year, by company size (bands use today's market value)

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 2026-08-25, from Dividend Increases & Cuts This Week.

as of table 4×6read in context →
Increases, cuts and the typical raise this calendar year, by company size (bands use today's market value) — 4 rows by 6 columns, computed from US exchange, SIP and OPRA data.
size_banddeclarationsincreasescutscut_share_pctmedian_raise_pct
Mega cap ($100B and up)2536010.47.6
Large cap ($10B to $100B)121328040.37
Mid cap ($2B to $10B)1288237120.96.7
Small cap (under $2B)1565244593.89.1
Rows × columns
4 × 6
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 Increases, cuts and the typical raise this calendar year, by company size (bands use today's market value), derived from the stored result.
ColumnTypeRangeNotes
size_band text 4 distinct values
declarations number 253 to 1,565
increases number 60 to 280
cuts number 1 to 59
cut_share_pct number 0.3 to 3.8 percent
median_raise_pct number 6.7 to 9.1 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 universe AS (
    SELECT ticker, argMax(market_cap, date) AS mcap
    FROM global_markets.stocks_ratios
    WHERE date >= today() - 10 AND market_cap > 0
    GROUP BY ticker
),
regular AS (
    SELECT ticker,
           ex_dividend_date,
           max(declaration_date) AS declared_on,
           argMax(cash_amount, declaration_date) AS amt,
           argMax(frequency, declaration_date) AS freq
    FROM global_markets.stocks_dividends
    WHERE distribution_type = 'recurring'
      AND cash_amount > 0
      AND currency = 'USD'
      AND frequency IN (1, 2, 4, 12)
      AND ex_dividend_date >= today() - 1200
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker, ex_dividend_date
),
seq AS (
    SELECT ticker, ex_dividend_date, declared_on, amt, freq,
           lagInFrame(amt) OVER w AS prev_amt,
           lagInFrame(freq) OVER w AS prev_freq,
           lagInFrame(ex_dividend_date) OVER w AS prev_ex
    FROM regular
    WINDOW w AS (PARTITION BY ticker ORDER BY ex_dividend_date ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW)
),
splits AS (
    SELECT ticker, groupArray(execution_date) AS split_dates
    FROM global_markets.stocks_splits
    WHERE execution_date >= today() - 1300
    GROUP BY ticker
),
changes AS (
    SELECT s.ticker AS ticker,
           s.declared_on AS declared_on,
           s.amt / s.prev_amt - 1 AS chg,
           u.mcap AS mcap
    FROM seq s
    INNER JOIN universe u ON u.ticker = s.ticker
    LEFT JOIN splits sp ON sp.ticker = s.ticker
    WHERE s.declared_on >= toStartOfYear(today())
      AND s.declared_on <= today()
      AND s.prev_amt > 0
      AND s.freq = s.prev_freq
      AND arrayCount(x -> x > s.prev_ex, sp.split_dates) = 0
      AND dateDiff('day', s.prev_ex, s.ex_dividend_date) BETWEEN intDiv(240, s.freq) AND intDiv(520, s.freq)
)
SELECT multiIf(mcap >= 1e11, 'Mega cap ($100B and up)',
               mcap >= 1e10, 'Large cap ($10B to $100B)',
               mcap >= 2e9,  'Mid cap ($2B to $10B)',
                             'Small cap (under $2B)') AS size_band,
       count() AS declarations,
       countIf(chg > 0.001) AS increases,
       countIf(chg < -0.005) AS cuts,
       round(100 * countIf(chg < -0.005) / count(), 1) AS cut_share_pct,
       round(100 * quantileDeterministicIf(0.5)(chg, cityHash64(ticker, declared_on), chg > 0.001), 1) AS median_raise_pct
FROM changes
GROUP BY size_band
HAVING countIf(chg > 0.001) > 0
ORDER BY max(mcap) DESC

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