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Finance
Skill

/income-statement

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.

BOOST
From plugin
octagonai-skills
13067 skills
Install
$ npx -y skills add octagonai/skills --skill income-statement --agent claude-code

How it fires

How this skill gets triggered: by you, by Claude, or both.

  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/income-statement

Context preview

The summary Claude sees to decide when to auto-load this skill.

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.

SKILL.md

income-statement.SKILL.md
name: income-statement
description: 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.

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 <TICKER>, limited to <N> records and filtered by period <FY|Q>.

**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"
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Ships withoctagonai-skills

A collection of AI agent skills for financial data analysis powered by the Octagon MCP.

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