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.
| size_band | declarations | increases | cuts | cut_share_pct | median_raise_pct |
|---|---|---|---|---|---|
| Mega cap ($100B and up) | 253 | 60 | 1 | 0.4 | 7.6 |
| Large cap ($10B to $100B) | 1213 | 280 | 4 | 0.3 | 7 |
| Mid cap ($2B to $10B) | 1288 | 237 | 12 | 0.9 | 6.7 |
| Small cap (under $2B) | 1565 | 244 | 59 | 3.8 | 9.1 |
- Rows × columns
- 4 × 6
- 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 |
|---|---|---|---|
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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