Summary
Performance
Historical returnsSnapshot
Key statisticsPrice Chart
Advanced chartCompareBull vs Bear
8 bullish · 3 bearish points- Operating margin expanded to 43.8% in the Jun 2026 quarter from 35.5% a year earlier.
- Gross margin improved to 76.9% from 72.9% a year ago.
- FY2025 earnings rose 46.5% to $440.58M.
- Beat consensus EPS in 6 of the last 8 quarters.
- The Q2 '26 quarter beat on EPS by $0.05 (11.1% above consensus).
- Revenue in the same quarter came in $49.13M ahead of consensus.
- Holds 14.4% above its 200-day average.
- Has recovered 53.7% off the 52-week low of $24.11.
- Full-year revenue declined 24.0% in FY2025 to $1.61B.
- Already trades 12.0% above the average analyst target of $32.60.
- The most bearish target on the street, $24.00, implies -35.2% downside; the range runs to $39.00, so the panel is far from agreed.
Notable Price Movement
Historical returnsPrice Performance
All periods| Period | Period Low | Period High | Performance | |
|---|---|---|---|---|
| 1-Month | 34.82 +6.40% on 08/06/26 | 39.02 -5.05% on 09/01/26 | +1.71 (+4.84%) since 08/06/26 | |
| 3-Month | 34.07 +8.75% on 07/02/26 | 39.02 -5.05% on 09/01/26 | +0.70 (+1.93%) since 06/05/26 | |
| 6-Month | 30.60 +21.06% on 04/21/26 | 39.02 -5.05% on 09/01/26 | +4.55 (+14.00%) since 03/06/26 | |
| YTD | 25.25 +46.71% on 01/12/26 | 39.02 -5.05% on 09/01/26 | +9.95 (+36.72%) since 01/02/26 | |
| 52-Week | 23.88 +55.14% on 11/04/25 | 39.02 -5.05% on 09/01/26 | +11.22 (+43.44%) since 09/04/25 |
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