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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 2026-08-22, from Cost Basis After a Stock Split, Step by Step.

as of series 3×5read in context →
One hypothetical 100-share lot through every AAPL split — 3 rows by 5 columns, computed from US exchange, SIP and OPRA data.
split_datesplit_monthsplit_labelshare_countper_share_basis
2005-02-28Feb 20052-for-120025
2014-06-09Jun 20147-for-114003.5714
2020-08-31Aug 20204-for-156000.8929
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
Formats
JSON · CSV · the SQL below

What each column holds

Column definitions for One hypothetical 100-share lot through every AAPL split, derived from the stored result.
ColumnTypeRangeNotes
split_date date 2005-02-28 to 2020-08-31
split_month date Aug 2020 to 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.

the exact SQL behind every number 
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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