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Recent US large-cap splits, restated as an Indian face value cut

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 Stock Splits in India: Face Value Explained.

as of ranking 5×4read in context →
Recent US large-cap splits, restated as an Indian face value cut — 5 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickersplit_labelex_date_labelface_value_after_rupees
AAPL4-for-1Aug 31, 20202.5
AMZN20-for-1Jun 6, 20220.5
GOOGL20-for-1Jul 18, 20220.5
NVDA10-for-1Jun 10, 20241
TSLA3-for-1Aug 25, 20223.33
Rows × columns
5 × 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 Recent US large-cap splits, restated as an Indian face value cut, derived from the stored result.
ColumnTypeRangeNotes
ticker text 5 distinct values (AAPL, AMZN, GOOGL…)
split_label text 4 distinct values (10-for-1, 20-for-1, 3-for-1…)
ex_date_label text 5 distinct values (Aug 25, 2022, Aug 31, 2020, Jul 18, 2022…)
face_value_after_rupees number 0.5 to 3.33

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
    ticker,
    concat(toString(toUInt32(argMax(split_to, execution_date))), '-for-',
           toString(toUInt32(argMax(split_from, execution_date))))  AS split_label,
    formatDateTime(max(execution_date), '%b %e, %Y')                 AS ex_date_label,
    round(10.0 * toFloat64(argMax(split_from, execution_date))
               / toFloat64(argMax(split_to, execution_date)), 2)     AS face_value_after_rupees
FROM global_markets.stocks_splits
WHERE ticker IN ('AAPL', 'AMZN', 'GOOGL', 'NVDA', 'TSLA')
  AND execution_date >= '2020-01-01'
  AND execution_date <= '2024-12-31'
  AND split_from > 0
  AND split_to > 0
GROUP BY ticker
ORDER BY ticker
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