STRASMORE/EXPLORE 2,549 QUERIES

lot_cost

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 2026-09-24, from stock-splits-in-japan-trading-units.

as of ranking 6×4read in context →
lot_cost — 6 rows by 4 columns, computed from US exchange, SIP and OPRA data.
tickerlast_close_usdlot_of_100_usd_kas_of_label
COST907.0890.7Sep 24, 2026
MSFT497.3549.7Sep 24, 2026
AAPL336.8533.7Sep 24, 2026
JNJ269.5227Sep 24, 2026
NVDA222.922.3Sep 24, 2026
KO88.568.9Sep 24, 2026
Rows × columns
6 × 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 lot_cost, derived from the stored result.
ColumnTypeRangeNotes
ticker text 6 distinct values (AAPL, COST, JNJ…)
last_close_usd number 88.56 to 907.08 US dollars
lot_of_100_usd_k number 8.9 to 90.7 US dollars
as_of_label text 1 distinct value (Sep 24, 2026)

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,
    round(toFloat64(argMax(close, date)), 2)              AS last_close_usd,
    round(toFloat64(argMax(close, date)) * 100 / 1000, 1) AS lot_of_100_usd_k,
    formatDateTime(max(date), '%b %e, %Y')                AS as_of_label
FROM global_markets.stocks_daily_aggs
WHERE ticker IN ('AAPL', 'MSFT', 'NVDA', 'KO', 'COST', 'JNJ')
  AND date >= today() - 45
GROUP BY ticker
ORDER BY lot_of_100_usd_k DESC
⌘/Ctrl + Enter

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