ipo_float_math
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 2026-09-25, from figma-lockup-expiration.
| label | shares_millions |
|---|---|
| Offered in the IPO | 36.9 |
| Traded, five sessions from Nov 7 2025 | 70.3 |
| Traded, five sessions from Aug 7 2026 | 112.8 |
- Rows × columns
- 3 × 2
- Computed
- Completeness
- No missing values
- Source
- US exchange, SIP and OPRA market data
- Licence
- Strasmore terms · free, no signup
What each column holds
| Column | Type | Range | Notes |
|---|---|---|---|
label |
text | 3 distinct values | |
shares_millions |
number | 36.9 to 112.8 | 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.
WITH ipo AS
(
SELECT argMax(toFloat64(max_shares_offered), last_updated) AS shares_offered
FROM global_markets.stocks_ipos
WHERE ticker = 'FIG'
AND listing_date >= '2025-07-01'
AND listing_date < '2025-08-31'
),
bars AS
(
SELECT
date,
volume,
row_number() OVER (ORDER BY date) AS seq
FROM
(
SELECT
date,
argMax(toFloat64(volume), _ingest_time) AS volume
FROM global_markets.stocks_daily_aggs
WHERE ticker = 'FIG'
AND date >= '2025-07-31'
GROUP BY date
)
),
anchors AS
(
SELECT
anyIf(seq, date = '2025-11-07') AS ipo_lockup_end,
anyIf(seq, date = '2026-08-07') AS final_tranche
FROM bars
),
traded AS
(
SELECT
sumIf(b.volume, toInt32(b.seq) BETWEEN toInt32(a.ipo_lockup_end) AND toInt32(a.ipo_lockup_end) + 4) AS nov_five_sessions,
sumIf(b.volume, toInt32(b.seq) BETWEEN toInt32(a.final_tranche) AND toInt32(a.final_tranche) + 4) AS aug_five_sessions
FROM bars AS b
CROSS JOIN anchors AS a
)
SELECT
tupleElement(bucket, 1) AS label,
round(tupleElement(bucket, 2) / 1e6, 1) AS shares_millions
FROM
(
SELECT arrayJoin([
('Offered in the IPO', shares_offered),
('Traded, five sessions from Nov 7 2025', nov_five_sessions),
('Traded, five sessions from Aug 7 2026', aug_five_sessions)
]) AS bucket
FROM ipo
CROSS JOIN traded
)
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