STRASMORE/EXPLORE 2,170 QUERIES

Increases against cuts, by week of declaration (complete weeks only)

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 series 26×4read in context →
Increases against cuts, by week of declaration (complete weeks only) — 26 rows by 4 columns, computed from US exchange, SIP and OPRA data.
weekweek_labelincreasescuts
2026-02-23Feb 23607
2026-03-02Mar 2162
2026-03-09Mar 9160
2026-03-16Mar 1693
2026-03-23Mar 2362
2026-03-30Mar 3092
2026-04-06Apr 640
2026-04-13Apr 13222
2026-04-20Apr 20355
2026-04-27Apr 27474
2026-05-04May 4397
2026-05-11May 11132
2026-05-18May 18174
2026-05-25May 2542
2026-06-01Jun 1112
2026-06-08Jun 8101
2026-06-15Jun 15100
2026-06-22Jun 2290
2026-06-29Jun 2911
2026-07-06Jul 6110
2026-07-13Jul 13213
2026-07-20Jul 20500
2026-07-27Jul 27413
2026-08-03Aug 3343
2026-08-10Aug 10141
2026-08-17Aug 17163
Rows × columns
26 × 4
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 Increases against cuts, by week of declaration (complete weeks only), derived from the stored result.
ColumnTypeRangeNotes
week date 2026-02-23 to 2026-08-17
week_label text 26 distinct values (Apr 13, Apr 20, Apr 27…)
increases number 1 to 60
cuts number 0 to 7

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
)
SELECT toString(toMonday(s.declared_on)) AS week,
       formatDateTime(toMonday(s.declared_on), '%b %e') AS week_label,
       countIf(s.amt > s.prev_amt * 1.001) AS increases,
       countIf(s.amt < s.prev_amt * 0.995) AS cuts
FROM seq s
INNER JOIN universe u ON u.ticker = s.ticker
LEFT JOIN splits sp ON sp.ticker = s.ticker
WHERE 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)
  AND s.declared_on >= toMonday(today()) - 182
  AND s.declared_on < toMonday(today())
GROUP BY week, week_label
ORDER BY week

Run your own version of this

The same 22 years of US equities and 12 years of options data are queryable in SQL or plain English. A free account runs 100 queries a day and takes no card.

More from this analysisDividend Increases & Cuts This Week
Dividend cuts declared in the last 90 days, the deepest 14 first (one week is too thin for a table) series 14×6 Dividend increases declared in the last 7 days, largest companies first (capped at 12 rows) series 12×8 Payers across their own share split: the raw change against the split-adjusted change series 9×7 Increases, cuts and the typical raise this calendar year, by company size (bands use today's market value) table 4×6 Dividend cuts at major US companies, ranked by the size of the drop (last 6 years) ranking 14×4 AT&T's annual dividend per share, before and after its 2022 reset ranking 8×2 See all 2,170 queries →