balance-sheet
Retrieve detailed balance sheet statement data including Total Assets, Current Assets, Non-Current Assets, Liabilities, Equity, and Net Debt for public companies. Use when analyzing financial position, capital structure, or leverage metrics.
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/octagonai/skills --skill balance-sheet- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads balance-sheet automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Balance Sheet
Retrieve detailed balance sheet statement data for public companies using Octagon MCP.
Prerequisites
Ensure Octagon MCP is configured in your AI agent (Cursor, Claude Desktop, Windsurf, etc.). See references/mcp-setup.md for installation instructions.
Query Format
Retrieve detailed balance sheet statement data for <TICKER>, limited to <N> records and filtered by period <FY|Q>.
MCP Call:
{
"server": "octagon-mcp",
"toolName": "octagon-agent",
"arguments": {
"prompt": "Retrieve detailed balance sheet statement data for AAPL, limited to 5 records and filtered by period FY"
}
}
Output Format
The agent returns a table with absolute financial figures:
| Fiscal Year | Total Assets (USD) | Total Current Assets (USD) | Total Non-Current Assets (USD) | Total Liabilities (USD) | Total Equity (USD) | Net Debt (USD) |
|---|---|---|---|---|---|---|
| 2025 | 359,241.00 million | 147,957.00 million | 211,284.00 million | 285,508.00 million | 73,733.00 million | 89,749.00 million |
| 2024 | 364,980.00 million | 152,987.00 million | 211,993.00 million | 308,030.00 million | 56,950.00 million | 89,116.00 million |
| 2023 | 352,583.00 million | 143,566.00 million | 209,017.00 million | 290,437.00 million | 62,146.00 million | 93,965.00 million |
| 2022 | 352,755.00 million | 135,405.00 million | 217,350.00 million | 302,083.00 million | 50,672.00 million | 108,834.00 million |
| 2021 | 351,002.00 million | 134,836.00 million | 216,166.00 million | 287,912.00 million | 63,090.00 million | 101,582.00 million |
Data Source: octagon-financials-agent
Key Observations Pattern
After receiving data, generate observations:
- Asset base changes: Track total assets trajectory over time
- Asset composition: Analyze current vs non-current asset mix
- Equity trends: Monitor shareholders' equity changes
- Leverage position: Track net debt levels and direction
- Capital structure: Compare liabilities to equity ratios
Metrics Reference
| Metric | Definition |
|---|---|
| Total Assets | All resources owned by the company |
| Total Current Assets | Assets convertible to cash within 1 year |
| Total Non-Current Assets | Long-term assets (PP&E, intangibles, investments) |
| Total Liabilities | All obligations and debts |
| Total Equity | Net worth (Assets - Liabilities) |
| Net Debt | Total debt minus cash and equivalents |
Analysis Tips
Asset Composition
- Current Assets: Liquidity and working capital
- Non-Current Assets: Long-term investments and capacity
- Shift toward current = more liquid
- Shift toward non-current = more invested
Capital Structure Ratios
Calculate from the data:
Debt-to-Equity = Total Liabilities / Total Equity
Equity Ratio = Total Equity / Total Assets
Net Debt Analysis
- Declining Net Debt = deleveraging
- Negative Net Debt = net cash position
- Compare to EBITDA for leverage context
Equity Trends
Rising equity from:
- Retained earnings (profitable operations)
- Stock issuance
- Other comprehensive income
Declining equity from:
- Net losses
- Share buybacks
- Dividends exceeding earnings
Working Capital
Working Capital = Current Assets - Current Liabilities
Positive = can meet short-term obligations
Follow-up Queries
Based on results, suggest deeper analysis:
- "What factors contributed to the decline in total assets in [YEAR] compared to [PRIOR YEAR]?"
- "How has [COMPANY]'s capital allocation strategy evolved between [YEAR1] and [YEAR2]?"
- "What specific components of non-current assets grew between [YEAR1] and [YEAR2]?"
- "Compare [COMPANY]'s leverage ratios to [PEER1] and [PEER2]"
FAQ
What does the balance-sheet skill do?
Retrieve detailed balance sheet statement data including Total Assets, Current Assets, Non-Current Assets, Liabilities, Equity, and Net Debt for public companies. Use when analyzing financial position, capital structure, or leverage metrics.
How do I install balance-sheet?
Run npx skills add https://github.com/octagonai/skills --skill balance-sheet in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/balance-sheet/ (personal) or .claude/skills/balance-sheet/ (project).
Which AI agents can use balance-sheet?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is balance-sheet safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains balance-sheet?
It is published by octagonai in octagonai/skills. It has 301 recorded installs.
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