Summary
Performance
Historical returnsSnapshot
Key statisticsPrice Chart
Advanced chartCompareBull vs Bear
6 bullish · 1 bearish points- Price targets are being raised: the last 90 days average $167.44, 4.0% above the prior three months.
- Gross margin improved to 54.5% from 52.6% a year ago.
- FY2025 earnings rose 39.9% to $2.25B.
- Sits 13.1% below the average analyst target of $164.88 across 16 firms.
- Beat consensus EPS in 8 of the last 8 quarters.
- Has recovered 19.2% off the 52-week low of $122.34.
- Only 6 of 14 analysts are positive — 7 sit on the fence and 1 are outright negative.
Notable Price Movement
Historical returnsPrice Performance
All periods| Period | Period Low | Period High | Performance | |
|---|---|---|---|---|
| 1-Month | 144.40 +0.99% on 09/16/26 | 164.35 -11.27% on 08/17/26 | -16.22 (-10.01%) since 08/17/26 | |
| 3-Month | 133.10 +9.57% on 07/16/26 | 165.79 -12.04% on 08/12/26 | -2.48 (-1.67%) since 06/16/26 | |
| 6-Month | 121.73 +19.79% on 03/30/26 | 165.79 -12.04% on 08/12/26 | +14.32 (+10.89%) since 03/17/26 | |
| YTD | 121.73 +19.79% on 03/30/26 | 165.79 -12.04% on 08/12/26 | +11.53 (+8.59%) since 01/02/26 | |
| 52-Week | 121.73 +19.79% on 03/30/26 | 165.79 -12.04% on 08/12/26 | +12.26 (+9.18%) since 09/15/25 | |
| 5-Year | 67.10 +117.34% on 09/27/22 | 165.79 -12.04% on 08/12/26 | +52.43 (+56.13%) since 09/08/21 |
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