STRASMORE/EXPLORE 2,985 QUERIES

annual

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 2026-10-03, from aapl-dividend-for-russian-investors.

as of ranking 10×4read in context →
annual — 10 rows by 4 columns, computed from US exchange, SIP and OPRA data.
yeardividend_per_sharepayments_in_yearyoy_growth_pct
20162.2349.9
20172.46410.3
20182.82414.6
20193.0447.8
20202.6154-14
20210.8654-66.9
20220.9145.2
20230.9544.4
20240.9944.2
20251.0344
Rows × columns
10 × 4
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 annual, derived from the stored result.
ColumnTypeRangeNotes
year text 10 distinct values (2016, 2017, 2018…)
dividend_per_share number 0.865 to 3.04
payments_in_year number every row is 4
yoy_growth_pct number -66.9 to 14.6 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.

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.

SELECT
    toString(y)                      AS year,
    dps                              AS dividend_per_share,
    payments                         AS payments_in_year,
    round(100 * (dps / prev - 1), 1) AS yoy_growth_pct
FROM
(
    SELECT
        y,
        dps,
        payments,
        lagInFrame(dps, 1) OVER (ORDER BY y ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW) AS prev
    FROM
    (
        SELECT
            toYear(ex_date)                  AS y,
            round(toFloat64(sum(amount)), 4) AS dps,
            count()                          AS payments
        FROM
        (
            SELECT
                ex_dividend_date AS ex_date,
                max(cash_amount) AS amount
            FROM global_markets.stocks_dividends
            WHERE ticker = 'AAPL'
              AND currency = 'USD'
              AND ex_dividend_date >= '2015-01-01'
              AND toYear(ex_dividend_date) < toYear(today())
            GROUP BY ex_dividend_date
        )
        GROUP BY y
    )
)
WHERE prev > 0
ORDER BY y
⌘/Ctrl + Enter

Работайте с этими данными в своём ИИ-ассистенте

Открывается готовым к запросам, с данными этой страницы. Бесплатно, без аккаунта.