industry-pe-ratios
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.
Best use case
industry-pe-ratios is best used when you need a repeatable AI agent workflow instead of a one-off prompt.
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.
Teams using industry-pe-ratios should expect a more consistent output, faster repeated execution, less prompt rewriting.
When to use this skill
- You want a reusable workflow that can be run more than once with consistent structure.
When not to use this skill
- You only need a quick one-off answer and do not need a reusable workflow.
- You cannot install or maintain the underlying files, dependencies, or repository context.
Installation
Claude Code / Cursor / Codex
Manual Installation
- Download SKILL.md from GitHub
- Place it in
.claude/skills/industry-pe-ratios/SKILL.mdinside your project - Restart your AI agent — it will auto-discover the skill
How industry-pe-ratios Compares
| Feature / Agent | industry-pe-ratios | Standard Approach |
|---|---|---|
| Platform Support | Not specified | Limited / Varies |
| Context Awareness | High | Baseline |
| Installation Complexity | Unknown | N/A |
Frequently Asked Questions
What does this skill do?
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.
Where can I find the source code?
You can find the source code on GitHub using the link provided at the top of the page.
SKILL.md Source
# 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](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:
```
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](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:**
```
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?
```
## Industry vs. Sector
### Hierarchy
```
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
```
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
```
Is AMD's P/E reasonable compared to the Semiconductor industry?
```
### Industry Selection
```
Which industries have the most attractive valuations?
```
### Peer Benchmarking
```
How does NVDA's valuation compare to semiconductor peers?
```
### M&A Analysis
```
What P/E is typical for Software industry acquisitions?
```
## Analysis Tips
1. **Use industry, not just sector**: More precise comparison.
2. **Consider growth rates**: Higher growth justifies higher P/E.
3. **Check profitability mix**: Loss-making companies distort averages.
4. **Compare apples to apples**: Same business model.
5. **Adjust for size**: Large-caps often command premiums.
6. **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 |Related Skills
sector-pe-ratios
Retrieve sector P/E ratios using Octagon MCP. Use when comparing company valuations to sector benchmarks, analyzing sector valuations across exchanges, and understanding market-wide valuation trends.
industry-performance-snapshot
Retrieve a daily overview of industry performance using Octagon MCP. Use when analyzing daily price movements, average changes, and performance trends for specific industries within an exchange.
stock-quote
Retrieve real-time stock quotes using Octagon MCP. Use when you need current price, day range, 52-week range, volume, market cap, and moving averages for any publicly traded stock.
stock-price-change
Retrieve stock price change statistics across multiple time periods using Octagon MCP. Use when analyzing short-term and long-term returns, comparing performance across timeframes, and evaluating momentum and historical growth.
stock-performance
Retrieve stock price data and performance metrics using Octagon MCP. Use when analyzing daily closing prices, trading volume, price trends, historical performance, and comparing stock movements over specific time periods.
stock-historical-index
Retrieve full historical end-of-day price data for market indices using Octagon MCP. Use when analyzing index performance over time, tracking market trends, calculating returns, and understanding market context for individual stock analysis.
stock-grades
Retrieve the latest stock grades and ratings from top analysts and financial institutions using Octagon MCP. Use when tracking analyst upgrades, downgrades, rating changes, and institutional sentiment over time.
sector-performance-snapshot
Retrieve a snapshot of market sector performance using Octagon MCP. Use when analyzing sector-wide metrics including revenue, EBITDA, net income, market cap, and enterprise value for companies within a specific sector and exchange.
sec-risk-factors
Extract and summarize risk factors from SEC filings using Octagon MCP. Use when analyzing Item 1A risk disclosures, categorizing business risks, identifying new or material risks, and comparing risk profiles across companies or time periods.
sec-proxy-analysis
Analyze proxy statements (DEF 14A) to extract executive compensation, governance information, and shareholder voting matters using Octagon MCP. Use when researching CEO pay, board composition, say-on-pay votes, and corporate governance practices.
sec-mda-analysis
Analyze Management Discussion and Analysis (MD&A) sections from SEC filings using Octagon MCP. Use when extracting strategic initiatives, financial performance commentary, macroeconomic challenges, and forward-looking statements from 10-K and 10-Q filings.
sec-footnotes-analysis
Analyze footnotes and accounting policies from SEC filings using Octagon MCP. Use when researching revenue recognition policies, critical estimates, lease obligations, pension assumptions, stock compensation, contingencies, and new accounting pronouncements.