analyst-estimates
Retrieve analyst financial estimates including Revenue and EPS projections with low/high ranges and analyst coverage. Use when…
Retrieve industry-specific P/E ratios using Octagon MCP. Use when comparing company valuations to specific industry peers, analyzing sub-sector valuations, and understanding niche market valuations beyond broad sector averages.
$ npx -y skills add octagonai/skills --skill industry-pe-ratios --agent claude-codeHow it fires
How this skill gets triggered: by you, by Claude, or both.
/industry-pe-ratiosContext preview
The summary Claude sees to decide when to auto-load this skill.
Retrieve industry-specific P/E ratios using Octagon MCP. Use when comparing company valuations to specific industry peers, analyzing sub-sector valuations, and understanding niche market valuations beyond broad sector averages.
name: industry-pe-ratios description: Retrieve industry-specific P/E ratios using Octagon MCP. Use when comparing company valuations to specific industry peers, analyzing sub-sector valuations, and understanding niche market valuations beyond broad sector averages.
Retrieve price-to-earnings ratios by specific industry and exchange using the Octagon MCP server.
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.
Determine your query parameters:
Use the `octagon-agent` tool with a natural language prompt:
Retrieve the latest industry P/E ratios for <DATE>, filtered by exchange <EXCHANGE> and industry <INDUSTRY>.
**MCP Call Format:**
{
"server": "octagon-mcp",
"toolName": "octagon-agent",
"arguments": {
"prompt": "Retrieve the latest industry P/E ratios for 2025-02-03, filtered by exchange NYSE and industry Semiconductors."
}
}The agent returns industry P/E data:
| Metric | Value | |--------|-------| | Industry | Semiconductors | | Exchange | NYSE | | P/E Ratio | 12.47 | | Date | 2025-02-03 | | Example Company | ON Semiconductor (ON) |
**Data Sources**: octagon-companies-agent, octagon-financials-agent, octagon-sec-agent, octagon-web-search-agent
See [references/interpreting-results.md](references/interpreting-results.md) for guidance on:
**Specific Industry and Exchange:**
Retrieve the latest industry P/E ratios for 2025-02-03, filtered by exchange NYSE and industry Semiconductors.
**NASDAQ Industry:**
Get P/E ratios for the Software industry on NASDAQ.
**Industry Comparison:**
Compare P/E ratios for Semiconductors, Software, and Internet industries.
**Historical Trend:**
What is the historical P/E trend for the Biotechnology industry?
**Peer Analysis:**
What are the P/E ratios for companies in the Electric Vehicles industry?
Sector (Broad) → Industry (Specific) → Sub-Industry (Niche)
| Level | Example | |-------|---------| | Sector | Technology | | Industry | Semiconductors | | Sub-Industry | Memory Chips |
| Comparison | Purpose | |------------|---------| | Sector P/E | Broad market context | | Industry P/E | Peer group benchmark | | Company P/E | Specific valuation |
| Industry | Typical P/E Range | |----------|-------------------| | Semiconductors | 15-35 | | Software | 25-50 | | IT Services | 18-30 | | Hardware | 15-25 | | Internet | 30-60 |
| Industry | Typical P/E Range | |----------|-------------------| | Biotechnology | 20-40 (or N/A) | | Pharmaceuticals | 15-25 | | Medical Devices | 25-40 | | Healthcare Services | 18-28 | | Health Insurance | 12-20 |
| Industry | Typical P/E Range | |----------|-------------------| | Banks | 10-15 | | Insurance | 10-18 | | Asset Management | 12-20 | | REITs | 15-25 | | Fintech | 25-50 |
| Industry | Typical P/E Range | |----------|-------------------| | Retail | 15-25 | | Restaurants | 20-35 | | Apparel | 15-25 | | Automotive | 8-15 | | E-commerce | 30-60 |
| Industry | Typical P/E Range | |----------|-------------------| | Aerospace & Defense | 18-25 | | Machinery | 15-22 | | Transportation | 12-20 | | Construction | 12-18 | | Electrical Equipment | 18-28 |
| Comparison | Interpretation | |------------|----------------| | Company P/E < Industry P/E | Potential value or concerns | | Company P/E = Industry P/E | Fairly valued vs. peers | | Company P/E > Industry P/E | Premium for quality/growth |
Premium/Discount = (Company P/E - Industry P/E) / Industry P/E × 100%
| Approach | Method | |----------|--------| | Same Industry | Direct competitors | | Similar Size | Market cap range | | Similar Growth | Growth rate bands | | Similar Model | Business model match |
| Metric | Compare | |--------|---------| | P/E vs. Industry | Relative value | | Growth vs. Industry | Growth premium | | Margins vs. Industry | Quality premium | | Size vs. Industry | Scale premium |
| Industry | Why Higher P/E | |----------|----------------| | Software | Recurring revenue, scalability | | Biotech | Pipeline optionality | | E-commerce | Growth potential | | Cloud | Secular growth trend |
| Industry | Why Lower P/E | |----------|----------------| | Banks | Cyclical, regulated | | Insurance | Mature, capital-intensive | | Utilities | Slow growth, stable | | Commodities | Cyclical, price-takers |
| Exchange | Industry Mix | |----------|--------------| | NYSE | More diversified, traditional | | NASDAQ | Tech-heavy, growth-oriented |
| Consideration | Impact | |---------------|--------| | Different companies | Different P/E averages | | Liquidity differences | Valuation premiums | | Listing requirements | Company quality |
A collection of AI agent skills for financial data analysis powered by the Octagon MCP.
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