STRASMORE/EXPLORE 3,127 QUERIES

First week post split average close, and what half a share would pay

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 2026-10-06, from Reverse Split: Round Up or Cash in Lieu?.

as of series 12×4read in context →
First week post split average close, and what half a share would pay — 12 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickersplit_termsavg_close_first_weekhalf_share_payout
LIBD1-for-1294.4147.2
LIAU1-for-1274.86137.43
LIAM1-for-1245.32122.66
HON1-for-2226.9113.45
LIAE1-for-1218.04109.02
LFBE1-for-1193.7496.87
LFDR1-for-1193.7196.85
LFAW1-for-1182.2191.11
LFAO1-for-1173.1986.6
LFAI1-for-1159.8679.93
DD1-for-3137.1268.56
BNDD1-for-899.6149.8
Rows × columns
12 × 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 First week post split average close, and what half a share would pay, derived from the stored result.
ColumnTypeRangeNotes
ticker text 12 distinct values (BNDD, DD, HON…)
split_terms text 4 distinct values (1-for-1, 1-for-2, 1-for-3…)
avg_close_first_week number 99.61 to 294.4 US dollars
half_share_payout number 49.8 to 147.2

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 recent_reverse_splits AS
(
    SELECT
        ticker,
        max(execution_date)                                           AS split_date,
        toUInt32(round(toFloat64(argMax(split_from, execution_date))
                     / toFloat64(argMax(split_to, execution_date))))  AS ratio
    FROM global_markets.stocks_splits
    WHERE split_from > split_to
      AND execution_date >= today() - 400
      AND execution_date <= today() - 15
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker
)
SELECT
    r.ticker                                AS ticker,
    concat('1-for-', toString(r.ratio))     AS split_terms,
    round(avg(toFloat64(d.close)), 2)       AS avg_close_first_week,
    round(avg(toFloat64(d.close)) / 2, 2)   AS half_share_payout
FROM recent_reverse_splits AS r
INNER JOIN global_markets.stocks_daily_aggs AS d ON d.ticker = r.ticker
WHERE d.date >= r.split_date
  AND d.date <  r.split_date + 8
  AND d.date >= today() - 420
GROUP BY r.ticker, r.ratio
ORDER BY avg_close_first_week DESC
LIMIT 12
⌘/Ctrl + Enter

Work with this data in your AI assistant

Opens ready to query, with this page's data. Free, no account.

More from this analysisReverse Split: Round Up or Cash in Lieu?
Reverse split ratios since 2016, by how often each one is used ranking 12×2 → Reverse splits executed per year, and how many used a ratio of 1-for-10 or larger ranking 11×3 → 8-K disclosures mentioning a reverse stock split, and how many spell out the fraction ranking 2×4 → One US split session, hour by hour, in both time zones series 16×3 → Every KO dividend of the past four years, one new lot each if reinvested series 16×3 → Recent US splits, stamped in New York and Beijing time series 12×7 → See all 3,127 queries →