Summary
Performance
Historical returnsSnapshot
Key statisticsPrice Chart
Advanced chartCompareBull vs Bear
6 bullish · 2 bearish points- Operating margin expanded to 23.0% in the Jun 2026 quarter from 15.3% a year earlier.
- Gross margin improved to 67.1% from 59.3% a year ago.
- Beat consensus EPS in 6 of the last 6 quarters.
- The Q2 '26 quarter beat on EPS by $0.31 (9.3% above consensus).
- Revenue in the same quarter came in $165.34M ahead of consensus.
- Trades at just 1.5× the 2026 consensus EPS of $13.64.
- Consensus sees only -29.8% revenue growth in 2026.
- Trades 5.5% below its 200-day average, a downtrend still intact.
Notable Price Movement
Historical returnsPrice Performance
All periods| Period | Period Low | Period High | Performance | |
|---|---|---|---|---|
| 1-Month | 19.18 +4.90% on 09/15/26 | 20.73 -2.93% on 08/17/26 | -0.44 (-2.14%) since 08/17/26 | |
| 3-Month | 19.18 +4.90% on 09/15/26 | 21.41 -6.02% on 06/16/26 | -1.20 (-5.63%) since 06/16/26 | |
| 6-Month | 19.18 +4.90% on 09/15/26 | 21.73 -7.39% on 04/22/26 | -1.49 (-6.89%) since 03/17/26 | |
| YTD | 19.18 +4.90% on 09/15/26 | 22.64 -11.15% on 01/22/26 | -1.50 (-6.94%) since 01/02/26 | |
| 52-Week | 19.18 +4.90% on 09/15/26 | 22.64 -11.15% on 01/22/26 | -2.22 (-9.94%) since 09/15/25 | |
| 5-Year | 17.98 +11.93% on 10/20/23 | 22.64 -11.15% on 01/22/26 | -2.03 (-9.16%) since 09/08/21 |
New Highs
Historical highsFinancial SnapshotFY 2025
Full financialsAsk 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