Financials Overview
Overview
- Growth: Revenue of USD 215.94B in FY 2026, +65.5% YoY (+68.3% 4y CAGR).
- Profitability: gross 71.1% (-392 bps YoY) · operating 60.4% (-204 bps) · net 55.6% (-25 bps).
- Earnings: Net income USD 120.07B (+64.7% YoY); EPS 4.93 (+66.0% YoY).
- Cash generation: Operating cash flow USD 102.72B; FCF USD 96.68B (44.8% of revenue), converting 81% of net income to cash.
- Capital Allocation: CapEx intensity 2.8% of revenue; dividends paid USD 974.00M (1% payout).
- Balance sheet: total debt USD 11.41B · cash USD 10.61B · net debt USD 807.00M · D/E 0.07x · net debt/EBITDA 0.0x.
- Returns on capital: ROE 76.3% · ROA 58.1%.
- Quality / risk: Altman Z 41.22 (safe) · Piotroski F 6/9 (mid).
- Fundamental rating: Overall A- (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 |
| 41.2202 | 6.00 | 154,393,000,000 | 320,272,000,000 | 219,157,000,000 | 229,980,000,000 | 5,533,287,450,000 | 91,288,000,000 | 302,969,000,000 |
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.
Or start with