One hypothetical 100-share lot through every AAPL split
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 Cost Basis After a Stock Split, Step by Step.
| split_date | split_month | split_label | share_count | per_share_basis |
|---|---|---|---|---|
| 2005-02-28 | Feb 2005 | 2-for-1 | 200 | 25 |
| 2014-06-09 | Jun 2014 | 7-for-1 | 1400 | 3.5714 |
| 2020-08-31 | Aug 2020 | 4-for-1 | 5600 | 0.8929 |
- Rows × columns
- 3 × 5
- Period covered
- to
- 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 |
|---|---|---|---|
split_date |
date | 2005-02-28 to 2020-08-31 | |
split_month |
text | 3 distinct values (Aug 2020, Feb 2005, Jun 2014) | |
split_label |
text | 3 distinct values (2-for-1, 4-for-1, 7-for-1) | |
share_count |
number | 200 to 5,600 | count |
per_share_basis |
number | 0.8929 to 25 |
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 events AS
(
SELECT
execution_date AS split_day,
any(toFloat64(split_to)) / any(toFloat64(split_from)) AS ratio,
concat(toString(any(split_to)), '-for-', toString(any(split_from))) AS split_label
FROM global_markets.stocks_splits
WHERE ticker = 'AAPL'
AND execution_date <= today()
AND split_from > 0
AND split_to > 0
GROUP BY execution_date
)
SELECT
toString(split_day) AS split_date,
formatDateTime(split_day, '%b %Y') AS split_month,
split_label,
toUInt32(round(100 * cumulative)) AS share_count,
round(5000.0 / (100 * cumulative), 4) AS per_share_basis
FROM
(
SELECT
split_day,
split_label,
exp(sum(log(ratio)) OVER (ORDER BY split_day ROWS BETWEEN UNBOUNDED PRECEDING AND CURRENT ROW)) AS cumulative
FROM events
)
ORDER BY split_day
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