STRASMORE/EXPLORE 2,648 QUERIES

raise_history

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 2026-09-26, from jnj-dividend-increase-history.

as of table 21×6read in context →
raise_history — 21 rows by 6 columns, computed from US exchange, SIP and OPRA data.
yearquarterly_dividendraise_centsraise_pctdeclaredgoes_ex
20060.3754.513.64NoneMay
20070.415410.67NoneMay
20080.464.510.84NoneMay
20090.4936.52NoneMay
20100.54510.2NoneMay
20110.5735.56NoneMay
20120.6147.02OctoberMay
20130.6658.2AprilMay
20140.746.06AprilMay
20150.7557.14AprilMay
20160.856.67AprilMay
20170.8445AprilMay
20180.967.14AprilMay
20190.9555.56AprilMay
20201.0166.32AprilMay
20211.0654.95AprilMay
20221.1376.6AprilMay
20231.1965.31AprilMay
20241.2454.2AprilMay
20251.364.84AprilMay
20261.3443.08AprilMay
Rows × columns
21 × 6
Computed
Completeness
Some fields are partly empty — see the columns below
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 raise_history, derived from the stored result.
ColumnTypeRangeNotes
year text 21 distinct values (2006, 2007, 2008…)
quarterly_dividend number 0.375 to 1.34
raise_cents number 3 to 7
raise_pct number 3.08 to 13.64 percent
declared text 2 distinct values (April, October) 15 of 21 rows populated
goes_ex text 1 distinct value (May)

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
    payments AS
    (
        SELECT
            toYear(ex_dividend_date) AS div_year,
            ex_dividend_date AS ex_date,
            any(declaration_date) AS declared_date,
            max(toFloat64(cash_amount)) AS amount
        FROM global_markets.stocks_dividends
        WHERE ticker = 'JNJ'
          AND frequency = 4
          AND ex_dividend_date >= '2004-01-01'
          AND ex_dividend_date <  '2027-01-01'
        GROUP BY ex_dividend_date
    ),
    yearly AS
    (
        SELECT
            div_year,
            div_year - 1 AS prior_year,
            round(max(amount), 4) AS quarterly_rate
        FROM payments
        GROUP BY div_year
    ),
    step_up AS
    (
        SELECT
            p.div_year AS div_year,
            arrayElement(['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December'], toMonth(min(p.declared_date))) AS declared,
            arrayElement(['January', 'February', 'March', 'April', 'May', 'June', 'July', 'August', 'September', 'October', 'November', 'December'], toMonth(min(p.ex_date))) AS goes_ex
        FROM payments AS p
        INNER JOIN yearly AS y ON y.div_year = p.div_year
        WHERE round(p.amount, 4) = y.quarterly_rate
        GROUP BY p.div_year
    )
SELECT
    toString(cur.div_year) AS year,
    cur.quarterly_rate AS quarterly_dividend,
    round((cur.quarterly_rate - prv.quarterly_rate) * 100, 1) AS raise_cents,
    round((cur.quarterly_rate / prv.quarterly_rate - 1) * 100, 2) AS raise_pct,
    s.declared AS declared,
    s.goes_ex AS goes_ex
FROM yearly AS cur
INNER JOIN yearly AS prv ON prv.div_year = cur.prior_year
LEFT JOIN step_up AS s ON s.div_year = cur.div_year
WHERE cur.div_year >= 2006
ORDER BY cur.div_year
⌘/Ctrl + Enter

Work with this data in your AI assistant

Opens ready to query, with this page's data. Free, no account.

More from this analysisjnj-dividend-increase-history
payout_trend table 8×5 → growth_horizons table 3×6 → separation_trace series 19×4 → The 2s10s spread, every print of the half table 124×2 → The 2s10s spread, every print of the half table 124×2 → Every half-year since 1976: the 2y and 10y change, the twist between them, and the half's lowest 2s10s print table 100×7 → See all 2,648 queries →