industry-pe-ratios

Name: industry-pe-ratios
Author: octagonai

github.com/octagonaiData & databases130261 installsUpdated 21w ago

About industry-pe-ratios

A skill for retrieving industry price-to-earnings ratios by industry, exchange, and date through Octagon MCP. It supports valuation research and peer benchmarking across industries.

Key features

01Industry P/E ratio lookup
02Exchange and date filters
03Industry and peer comparisons
04Company-to-industry valuation context

Use cases

01Benchmark a company’s P/E against its industry
02Compare P/E ratios across industries
03Review peer valuations on an exchange

MCP support

Uses the Octagon MCP server’s `octagon-agent` tool with a natural-language prompt to retrieve industry P/E data.

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/octagonai/skills --skill industry-pe-ratios

After installing, type/industry-pe-ratiosin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

marketplace.json

README.md

references/

interpreting-results.md

mcp-setup.md

Details

From the project README

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:

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."
  }
}

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:

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

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

Comments

Markdown supported

Details

Author: octagonai
Repository: octagonai/skills
Category: Data & databases
Installs: 261
GitHub stars: 130

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