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Split multiples for large US stock splits since 2020

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 2026-09-20, from How split-adjusted price history works.

as of ranking 10×3read in context →
Split multiples for large US stock splits since 2020 — 10 rows by 3 columns, computed from US exchange, SIP and OPRA data.
split_eventsplit_ratiosplit_n
TSLA Aug 20223-for-13
WMT Feb 20243-for-13
AAPL Aug 20204-for-14
NVDA Jul 20214-for-14
TSLA Aug 20205-for-15
NVDA Jun 202410-for-110
SHOP Jun 202210-for-110
AMZN Jun 202220-for-120
GOOGL Jul 202220-for-120
CMG Jun 202450-for-150
Rows × columns
10 × 3
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 Split multiples for large US stock splits since 2020, derived from the stored result.
ColumnTypeRangeNotes
split_event text 10 distinct values
split_ratio text 6 distinct values (10-for-1, 20-for-1, 3-for-1…)
split_n number 3 to 50 count

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
    concat(ticker, ' ', formatDateTime(execution_date, '%b %Y'))                             AS split_event,
    concat(toString(toUInt32(any(split_to))), '-for-', toString(toUInt32(any(split_from)))) AS split_ratio,
    round(toFloat64(any(split_to)) / toFloat64(any(split_from)), 2)                          AS split_n
FROM global_markets.stocks_splits
WHERE execution_date >= '2020-01-01'
  AND execution_date < today()
  AND split_to >= split_from * 3
  AND ticker IN ('AAPL', 'AMZN', 'CMG', 'GOOGL', 'NVDA', 'SHOP', 'TSLA', 'WMT')
  AND ticker NOT IN ('SPCX')
GROUP BY ticker, execution_date
ORDER BY split_n, split_event
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