Financials Overview
Overview
- Growth: Revenue of USD 17.13B in FY 2026, +5.1% YoY (+5.2% 4y CAGR).
- Profitability: gross 49.4% (+1,626 bps YoY) · operating 24.5% (+467 bps) · net 10.1% (-398 bps).
- Earnings: Net income USD 1.73B (-24.7% YoY); EPS 3.97 (-20.1% YoY).
- Cash generation: Operating cash flow USD 1.97B; FCF USD 1.47B (8.6% of revenue), converting 85% of net income to cash.
- Capital Allocation: CapEx intensity 2.9% of revenue; dividends paid USD 287.00M (17% payout).
- Balance sheet: total debt USD 7.57B · cash USD 4.21B · net debt USD 3.36B · D/E 0.65x · net debt/EBITDA 1.1x.
- Returns on capital: ROE 14.9% · ROA 7.7%.
- Quality / risk: Altman Z 3.17 (safe) · Piotroski F 8/9 (strong).
- 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 |
| 3.1741 | 8.00 | 5,786,000,000 | 22,482,000,000 | 4,457,000,000 | 2,624,000,000 | 25,617,452,928 | 10,668,000,000 | 17,126,000,000 |
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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