Summary
Performance
Historical returnsSnapshot
Key statisticsPrice Chart
Advanced chartCompareBull vs Bear
8 bullish · 1 bearish points- Operating margin expanded to 18.1% in the Jul 2026 quarter from 16.8% a year earlier.
- Gross margin improved to 65.0% from 57.7% a year ago.
- Revenue grew 13.7% year on year in the Jul 2026 quarter to $9.76B.
- Holds 6.2% above its 200-day average.
- Has recovered 28.8% off the 52-week low of $73.09.
- Outperformed the S&P 500 by 11.7% over the last quarter (+16.3% against +4.7%).
- Beat consensus EPS in 8 of the last 8 quarters.
- Revenue in the same quarter came in $210.19M ahead of consensus.
- Consensus sees only -0.6% revenue growth in 2026.
Notable Price Movement
Historical returnsPrice Performance
All periods| Period | Period Low | Period High | Performance | |
|---|---|---|---|---|
| 1-Month | 84.96 +10.85% on 08/07/26 | 95.41 -1.30% on 09/01/26 | +8.25 (+9.60%) since 08/06/26 | |
| 3-Month | 76.92 +22.42% on 06/17/26 | 95.41 -1.30% on 09/01/26 | +13.23 (+16.35%) since 06/05/26 | |
| 6-Month | 72.65 +29.61% on 06/02/26 | 95.41 -1.30% on 09/01/26 | +4.82 (+5.39%) since 03/06/26 | |
| YTD | 72.65 +29.61% on 06/02/26 | 103.71 -9.20% on 02/04/26 | -0.25 (-0.26%) since 01/02/26 | |
| 52-Week | 72.65 +29.61% on 06/02/26 | 103.76 -9.24% on 11/26/25 | +4.24 (+4.71%) since 09/04/25 | |
| 5-Year | 62.93 +49.65% on 10/30/23 | 116.21 -18.97% on 09/09/21 | -20.26 (-17.71%) since 08/27/21 |
New Highs
Historical highsFinancial SnapshotFY 2026
Full financialsNews
All newsAsk the market a question. Get a calculated answer.
The AI is not a chatbot bolted onto a document store. It calls the same analytics engine that powers every screen on this platform — so what comes back is a number it computed from raw history, with the command that produced it.
86,000+ instruments
Global equities, ETFs, funds, options, FX, commodities, crypto, economics, filings, transcripts and news — one normalised symbol universe with adjusted history.
A real analytics engine
Screening, backtesting, technicals, options analytics, correlations, seasonality and factor models — computed on demand from raw prices, never a stale cache.
It shows its working
Answers arrive with the charts, tables and tool calls behind them, so you can check the number instead of trusting a paraphrase.
Your own documents
Upload filings, decks and research. Ask across them and the answer cites the page it came from.
Agents and workflows
Multi-step research that runs the platform's tools for you — screen, pull the history, compute, compare, then write it up.
MCP, CLI and API
The same command catalogue from Claude, your own agent, a shell or your pipeline. The answer on screen is the answer your job gets at 4am.
You ask
“How does NVDA usually trade through earnings?”
It calls
→ ka.options_expected_move(NVDA)
It answers
NVDA has averaged a 9.2% absolute move on the day after earnings and closed higher 67% of the time. Two in three reactions land between −4.2% and +16.3% — the distribution is skewed right, not symmetric.
Every figure computed live from our own history — not scraped, not summarised.
Or start with