Financials Overview
Overview
- Growth: Revenue of USD 22.63B in FY 2025, +3.0% YoY (+17.1% 4y CAGR).
- Profitability: gross 61.4% (+291 bps YoY) · operating 16.5% (+104 bps) · net 13.0% (+79 bps).
- Earnings: Net income USD 2.94B (+9.6% YoY); EPS 9.55 (+14.6% YoY).
- Cash generation: Operating cash flow USD 5.35B; FCF USD 4.29B (19.0% of revenue), converting 146% of net income to cash.
- Capital Allocation: CapEx intensity 4.7% of revenue; dividends paid USD 1.12B (38% payout).
- Balance sheet: total debt USD 29.81B · cash USD 131.36B · net debt -USD 101.56B · D/E 1.07x · net debt/EBITDA -23.7x.
- Returns on capital: ROE 10.6% · ROA 0.8%.
- Quality / risk: Altman Z 12.50 (safe) · Piotroski F 6/9 (mid).
- Fundamental rating: Overall S- (Strong Buy).
Rating Fundamentals
DefinitionsScorecard
Stock Financial Scores
Definitions| Altman Z-Score | Piotroski Score | Working Capital | Total Assets | Retained Earnings | EBIT | Market Cap | Total Liabilities | Revenue |
| 12.5025 | 6.00 | -4,146,000,000 | 6,278,000,000 | 32,660,000,000 | 4,378,000,000 | 29,966,444,109 | 390,113,000,000 | 23,005,000,000 |
Key Financials
Ask 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.
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