Financials Overview
Overview
- Growth: Revenue of USD 716.92B in FY 2025, +12.4% YoY (+11.1% 4y CAGR).
- Profitability: gross 50.3% (+143 bps YoY) · operating 11.2% (+40 bps) · net 10.8% (+155 bps).
- Earnings: Net income USD 77.67B (+31.1% YoY); EPS 7.29 (+28.8% YoY).
- Cash generation: Operating cash flow USD 139.51B; FCF USD 7.70B (1.1% of revenue), converting 10% of net income to cash.
- Capital Allocation: CapEx intensity 18.4% of revenue; dividends paid n/a (0% payout).
- Balance sheet: total debt USD 152.99B · cash USD 86.81B · net debt USD 66.18B · D/E 0.37x · net debt/EBITDA 0.4x.
- Returns on capital: ROE 18.9% · ROA 9.5%.
- Quality / risk: Altman Z 4.76 (safe) · Piotroski F 6/9 (mid).
- 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 |
| 4.7621 | 6.00 | 7,990,000,000 | 1,095,689,000,000 | 343,438,000,000 | 178,797,000,000 | 2,782,108,773,000 | 544,069,000,000 | 775,680,000,000 |
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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