raise_timing
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 2026-09-28, from aapl-dividend-2026.
| year | raise_ex_pretty | prior_quarterly_rate | new_quarterly_rate | increase_pct |
|---|---|---|---|---|
| 2021 | May 7 | 0.205 | 0.22 | 7.3 |
| 2022 | May 6 | 0.22 | 0.23 | 4.5 |
| 2023 | May 12 | 0.23 | 0.24 | 4.3 |
| 2024 | May 10 | 0.24 | 0.25 | 4.2 |
| 2025 | May 12 | 0.25 | 0.26 | 4 |
| 2026 | May 11 | 0.26 | 0.27 | 3.8 |
- Rows × columns
- 6 × 5
- 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 |
|---|---|---|---|
year |
number | 2,021 to 2,026 | |
raise_ex_pretty |
text | 5 distinct values (May 10, May 11, May 12…) | |
prior_quarterly_rate |
number | 0.205 to 0.26 | ratio or rate |
new_quarterly_rate |
number | 0.22 to 0.27 | ratio or rate |
increase_pct |
number | 3.8 to 7.3 | 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.
WITH quarterly AS
(
SELECT
ex_dividend_date AS ex_date,
toFloat64(max(cash_amount)) AS quarterly_rate
FROM global_markets.stocks_dividends
WHERE ticker = 'AAPL'
AND ex_dividend_date >= '2020-11-01'
GROUP BY ex_dividend_date
),
stepped AS
(
SELECT
ex_date,
quarterly_rate,
lagInFrame(quarterly_rate, 1) OVER (
ORDER BY ex_date ASC ROWS BETWEEN 1 PRECEDING AND CURRENT ROW
) AS prior_rate
FROM quarterly
)
SELECT
toYear(ex_date) AS year,
concat(monthName(ex_date), ' ',
toString(toDayOfMonth(ex_date))) AS raise_ex_pretty,
round(prior_rate, 4) AS prior_quarterly_rate,
round(quarterly_rate, 4) AS new_quarterly_rate,
round(100 * (quarterly_rate / prior_rate - 1), 1) AS increase_pct
FROM stepped
WHERE prior_rate > 0
AND quarterly_rate > prior_rate
ORDER BY year
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