pop_by_year

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 issues AS
(
    SELECT
        ticker,
        min(listing_date)                 AS listing_dt,
        max(toFloat64(final_issue_price)) AS offer_price
    FROM global_markets.stocks_ipos
    WHERE listing_date >= '2021-01-01'
      AND listing_date <  '2026-07-01'
      AND final_issue_price > 0
      AND issuer_name NOT ILIKE '%acquisition%'
      AND ticker NOT IN ('SPCX')
    GROUP BY ticker
),
debut AS
(
    SELECT
        i.ticker                                                                AS ticker,
        toString(toYear(i.listing_dt))                                          AS listing_year,
        round(100 * (argMin(toFloat64(d.open), d.date) / i.offer_price - 1), 2)  AS pop_pct
    FROM issues AS i
    INNER JOIN global_markets.stocks_daily_aggs AS d ON d.ticker = i.ticker
    WHERE d.date >= i.listing_dt
      AND d.date <  i.listing_dt + 7
    GROUP BY i.ticker, i.offer_price, i.listing_dt
)
SELECT
    listing_year,
    count()                                                                     AS listing_count,
    round(quantileDeterministic(0.5)(pop_pct, toUInt32(cityHash64(ticker))), 1) AS median_pop_pct,
    round(100 * countIf(pop_pct < 0) / count(), 1)                              AS below_offer_pct
FROM debut
WHERE isFinite(pop_pct)
GROUP BY listing_year
HAVING count() >= 5
ORDER BY listing_year