Financials Overview
Overview
- Growth: Revenue of USD 47.94B in FY 2025, +1.9% YoY (+5.5% 4y CAGR).
- Profitability: gross 61.6% (+56 bps YoY) · operating 28.7% (+747 bps) · net 27.3% (+475 bps).
- Earnings: Net income USD 13.11B (+23.3% YoY); EPS 3.05 (+23.5% YoY).
- Cash generation: Operating cash flow USD 7.41B; FCF USD 5.30B (11.0% of revenue), converting 40% of net income to cash.
- Capital Allocation: CapEx intensity 4.4% of revenue; dividends paid USD 8.78B (67% payout).
- Balance sheet: total debt USD 47.21B · cash USD 10.27B · net debt USD 36.94B · D/E 1.47x · net debt/EBITDA 2.0x.
- Returns on capital: ROE 40.7% · ROA 12.5%.
- Quality / risk: Altman Z 5.51 (safe) · Piotroski F 9/9 (strong).
- Fundamental rating: Overall B (Neutral).
Rating Fundamentals
DefinitionsScorecard
Stock Financial Scores
Definitions| Altman Z-Score | Piotroski Score | Working Capital | Total Assets | Retained Earnings | EBIT | Market Cap | Total Liabilities | Revenue |
| 5.5102 | 9.00 | 7,676,000,000 | 107,922,000,000 | 84,169,000,000 | 18,797,000,000 | 382,109,370,829 | 69,607,000,000 | 50,129,000,000 |
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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