Financials Overview
Overview
- Growth: Revenue of USD 426.50M in FY 2025, +2.6% YoY (+13.6% 4y CAGR).
- Profitability: gross 4.2% (-1,589 bps YoY) · operating -22.0% (-1,327 bps) · net -52.1% (-4,469 bps).
- Earnings: Net income -USD 222.02M (+624.8% YoY); EPS -1.01 (+173.0% YoY).
- Cash generation: Operating cash flow USD 85.53M; FCF USD 25.65M (6.0% of revenue), converting -12% of net income to cash.
- Capital Allocation: CapEx intensity 14.0% of revenue; dividends paid n/a (0% payout).
- Balance sheet: total debt USD 98.90M · cash USD 157.76M · net debt -USD 58.86M · D/E 0.18x · net debt/EBITDA 0.8x.
- Returns on capital: ROE -39.7% · ROA -21.0%.
- Quality / risk: Altman Z -0.75 (distress) · Piotroski F 6/9 (mid).
- Fundamental rating: Overall C+ (Sell).
Rating Fundamentals
DefinitionsScorecard
Stock Financial Scores
Definitions| Altman Z-Score | Piotroski Score | Working Capital | Total Assets | Retained Earnings | EBIT | Market Cap | Total Liabilities | Revenue |
| -0.7457 | 6.00 | 193,415,000 | 1,025,810,000 | -1,261,831,000 | -45,943,000 | 363,370,646 | 467,129,000 | 442,318,000 |
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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