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SKILL verified MIT Self-run

Income Statement

skill-octagonai-skills-income-statement · by OctagonAI

Retrieve real-time income statement data including Revenue, Net Income, and EPS Diluted for public companies. Use when analyzing absolute financial figures, historical earnings, or comparing company scale across fiscal periods.

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Install

$ agentstack add skill-octagonai-skills-income-statement

✓ scanned · ✓ verified, works with Claude Code, Cursor, and more.

Security review

✓ Passed

No issues found. Passed automated security review. · v0.1.0 How review works →

  • Prompt-injection patterns
  • Secret / credential exfiltration
  • Dangerous shell & filesystem operations
  • Untrusted network calls
  • Known-malicious package signatures

What it can access

  • Network access No
  • Filesystem access No
  • Shell / process execution No
  • Environment & secrets No
  • Dynamic code execution No

From automated source analysis of v0.1.0. “Used” means the capability is present in the source — more access means more to trust, not that it’s unsafe.

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Reliability & compatibility

Security review passed
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3mo ago

Declared compatibility

Claude CodeClaude Desktop

Compatibility is declared by the source manifest. End-to-end runtime verification is coming, see below.

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About

Income Statement

Retrieve real-time income 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](references/mcp-setup.md) for installation instructions.

Query Format

Retrieve real-time income statement data for , limited to  records and filtered by period .

MCP Call:

{
  "server": "octagon-mcp",
  "toolName": "octagon-agent",
  "arguments": {
    "prompt": "Retrieve real-time income 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 | Revenue (USD) | Net Income (USD) | EPS (Diluted) | |-------------|---------------|------------------|---------------| | 2025 | $416,161,000,000 | $112,010,000,000 | 7.46 | | 2024 | $391,035,000,000 | $93,736,000,000 | 6.08 | | 2023 | $383,285,000,000 | $96,995,000,000 | 6.13 | | 2022 | $394,328,000,000 | $99,803,000,000 | 6.11 | | 2021 | $365,817,000,000 | $94,680,000,000 | 5.61 |

Data Source: octagon-financials-agent

Key Observations Pattern

After receiving data, generate observations:

  1. Revenue trajectory: Calculate dollar and percentage changes year-over-year
  2. Net income trends: Track profitability in absolute terms
  3. EPS progression: Note earnings per share expansion or contraction
  4. Margin calculation: Compute Net Income / Revenue for net margin
  5. Scale context: Compare figures to industry peers

Metrics Reference

| Metric | Definition | |--------|------------| | Revenue | Total sales/top-line income for the period | | Net Income | Bottom-line profit after all expenses and taxes | | EPS (Diluted) | Earnings per share assuming all dilutive securities converted |

Analysis Tips

Revenue Scale

  • Use to compare company size across industry
  • Track absolute dollar growth, not just percentages
  • Larger base requires more absolute growth to maintain % growth

Net Income Quality

  • Compare Net Income to Operating Income for non-operating items
  • Check for one-time gains/losses distorting figures
  • Look for consistent growth trajectory

EPS Analysis

  • EPS can grow faster than Net Income due to buybacks
  • Compare to analyst estimates and guidance
  • Check shares outstanding for context

Margin Calculation

Calculate from the data:

Net Margin = Net Income / Revenue × 100

Example: $112B / $416B = 26.9% net margin

Period Comparisons

  • FY for annual strategic view
  • Q for seasonal patterns and recent trends
  • Compare same periods (Q1 vs Q1) for seasonality

Follow-up Queries

Based on results, suggest deeper analysis:

  • "What factors contributed to the revenue growth in [YEAR]?"
  • "How does [COMPANY]'s [YEAR] net margin compare to industry peers?"
  • "What are the key drivers of the EPS expansion over the [N]-year period?"
  • "Retrieve quarterly income statement data for [TICKER] to see seasonal patterns"

Source & license

This open-source skill is cataloged on AgentStack and links to its original source — we do not rehost the code.

Install and usage instructions live in the source repository linked above.

Reviews

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Versions

  • v0.1.0 Imported from the upstream source.