Industry P/E Ratios
Retrieve price-to-earnings ratios by specific industry and exchange using the Octagon MCP server.
Prerequisites
Ensure Octagon MCP is configured in your AI agent (Cursor, Claude Desktop, Windsurf, etc.). See references/mcp-setup.md for installation instructions.
Workflow
1. Identify Parameters
Determine your query parameters:
- •Date: Specific date for the data
- •Exchange: NYSE, NASDAQ, etc.
- •Industry: Semiconductors, Software, Biotechnology, etc.
2. Execute Query via Octagon MCP
Use the octagon-agent tool with a natural language prompt:
code
Retrieve the latest industry P/E ratios for <DATE>, filtered by exchange <EXCHANGE> and industry <INDUSTRY>.
MCP Call Format:
json
{
"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."
}
}
3. Expected Output
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
4. Interpret Results
See references/interpreting-results.md for guidance on:
- •Comparing company P/E to industry P/E
- •Industry vs. sector differences
- •Cross-industry analysis
- •Peer group valuation
Example Queries
Specific Industry and Exchange:
code
Retrieve the latest industry P/E ratios for 2025-02-03, filtered by exchange NYSE and industry Semiconductors.
NASDAQ Industry:
code
Get P/E ratios for the Software industry on NASDAQ.
Industry Comparison:
code
Compare P/E ratios for Semiconductors, Software, and Internet industries.
Historical Trend:
code
What is the historical P/E trend for the Biotechnology industry?
Peer Analysis:
code
What are the P/E ratios for companies in the Electric Vehicles industry?
Industry vs. Sector
Hierarchy
code
Sector (Broad) → Industry (Specific) → Sub-Industry (Niche)
Example
| Level | Example |
|---|---|
| Sector | Technology |
| Industry | Semiconductors |
| Sub-Industry | Memory Chips |
Why Industry Matters
| Comparison | Purpose |
|---|---|
| Sector P/E | Broad market context |
| Industry P/E | Peer group benchmark |
| Company P/E | Specific valuation |
Common Industries
Technology Sector Industries
| Industry | Typical P/E Range |
|---|---|
| Semiconductors | 15-35 |
| Software | 25-50 |
| IT Services | 18-30 |
| Hardware | 15-25 |
| Internet | 30-60 |
Healthcare Sector Industries
| 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 |
Financial Sector Industries
| Industry | Typical P/E Range |
|---|---|
| Banks | 10-15 |
| Insurance | 10-18 |
| Asset Management | 12-20 |
| REITs | 15-25 |
| Fintech | 25-50 |
Consumer Sector Industries
| Industry | Typical P/E Range |
|---|---|
| Retail | 15-25 |
| Restaurants | 20-35 |
| Apparel | 15-25 |
| Automotive | 8-15 |
| E-commerce | 30-60 |
Industrial Sector Industries
| Industry | Typical P/E Range |
|---|---|
| Aerospace & Defense | 18-25 |
| Machinery | 15-22 |
| Transportation | 12-20 |
| Construction | 12-18 |
| Electrical Equipment | 18-28 |
Using Industry P/E for Analysis
Company Valuation Context
| 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 Calculation
code
Premium/Discount = (Company P/E - Industry P/E) / Industry P/E × 100%
Example
- •Company P/E: 18
- •Industry P/E (Semiconductors): 12.47
- •Premium: (18 - 12.47) / 12.47 = +44.3% (trading at premium)
Peer Group Analysis
Defining Peer Groups
| Approach | Method |
|---|---|
| Same Industry | Direct competitors |
| Similar Size | Market cap range |
| Similar Growth | Growth rate bands |
| Similar Model | Business model match |
Peer Comparison Framework
| Metric | Compare |
|---|---|
| P/E vs. Industry | Relative value |
| Growth vs. Industry | Growth premium |
| Margins vs. Industry | Quality premium |
| Size vs. Industry | Scale premium |
Industry Characteristics
High P/E Industries
| Industry | Why Higher P/E |
|---|---|
| Software | Recurring revenue, scalability |
| Biotech | Pipeline optionality |
| E-commerce | Growth potential |
| Cloud | Secular growth trend |
Low P/E Industries
| Industry | Why Lower P/E |
|---|---|
| Banks | Cyclical, regulated |
| Insurance | Mature, capital-intensive |
| Utilities | Slow growth, stable |
| Commodities | Cyclical, price-takers |
Exchange Considerations
NYSE vs. NASDAQ
| Exchange | Industry Mix |
|---|---|
| NYSE | More diversified, traditional |
| NASDAQ | Tech-heavy, growth-oriented |
Same Industry, Different Exchange
| Consideration | Impact |
|---|---|
| Different companies | Different P/E averages |
| Liquidity differences | Valuation premiums |
| Listing requirements | Company quality |
Common Use Cases
Stock Valuation
code
Is AMD's P/E reasonable compared to the Semiconductor industry?
Industry Selection
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Which industries have the most attractive valuations?
Peer Benchmarking
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How does NVDA's valuation compare to semiconductor peers?
M&A Analysis
code
What P/E is typical for Software industry acquisitions?
Analysis Tips
- •
Use industry, not just sector: More precise comparison.
- •
Consider growth rates: Higher growth justifies higher P/E.
- •
Check profitability mix: Loss-making companies distort averages.
- •
Compare apples to apples: Same business model.
- •
Adjust for size: Large-caps often command premiums.
- •
Look at sub-industries: Even more precise comparisons.
Integration with Other Skills
| Skill | Combined Use |
|---|---|
| sector-pe-ratios | Industry vs. sector context |
| financial-metrics-analysis | Company P/E details |
| income-statement | Earnings driving P/E |
| stock-performance | Price trends within industry |