Summary
Performance
Historical returnsSnapshot
Key statisticsPrice Chart
Advanced chartCompareBull vs Bear
4 bullish · 2 bearish points- Operating margin expanded to 22.5% in the Jun 2026 quarter from 20.0% a year earlier.
- FY2025 earnings rose 33.0% to $1.18B.
- Sits 17.0% below the average analyst target of $41.09 across 11 firms.
- 8 of 11 covering analysts rate the shares a buy.
- Gross margin slipped to 22.5% from 25.0% a year ago.
- Revenue in the same quarter came in $79.19M short of consensus.
Notable Price Movement
Historical returnsPrice Performance
All periods| Period | Period Low | Period High | Performance | |
|---|---|---|---|---|
| 1-Month | 33.76 +4.00% on 08/31/26 | 36.60 -4.07% on 08/18/26 | +0.49 (+1.42%) since 08/06/26 | |
| 3-Month | 33.76 +4.00% on 08/31/26 | 37.36 -6.02% on 06/26/26 | -0.35 (-0.99%) since 06/05/26 | |
| 6-Month | 33.76 +4.00% on 08/31/26 | 39.79 -11.75% on 04/13/26 | -2.86 (-7.53%) since 03/06/26 | |
| YTD | 33.76 +4.00% on 08/31/26 | 39.79 -11.75% on 04/13/26 | +0.53 (+1.53%) since 01/02/26 | |
| 52-Week | 32.67 +7.46% on 12/10/25 | 39.79 -11.75% on 04/13/26 | -0.28 (-0.79%) since 09/04/25 | |
| 5-Year | 20.27 +73.23% on 10/03/23 | 39.79 -11.75% on 04/13/26 | +10.67 (+43.66%) since 08/27/21 |
New Highs
Historical highsFinancial SnapshotFY 2025
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