household_prices
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 how-much-does-one-share-of-stock-cost.
| ticker | share_price |
|---|---|
| MSFT | 497.35 |
| AAPL | 336.85 |
| NVDA | 222.9 |
| INTC | 119.02 |
| DIS | 103.52 |
| SBUX | 94.28 |
| KO | 88.56 |
| PFE | 28.24 |
| T | 25.58 |
| F | 12.92 |
- Rows × columns
- 10 × 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 |
|---|---|---|---|
ticker |
text | 10 distinct values (AAPL, DIS, F…) | |
share_price |
number | 12.92 to 497.35 | US dollars |
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(max(close)), 2) AS share_price
FROM global_markets.stocks_daily_aggs
WHERE date = (SELECT max(date) FROM global_markets.stocks_daily_aggs)
AND ticker IN ('MSFT', 'AAPL', 'NVDA', 'DIS', 'SBUX', 'KO', 'T', 'PFE', 'INTC', 'F')
GROUP BY ticker
ORDER BY share_price DESC
Work with this data in your AI assistant
Opens ready to query, with this page's data. Free, no account.