octagonai/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.

First seen Feb 7, 2026

Installation

$ npx skills add octagonai/skills --skill sector-pe-ratios

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

Claude Code Not declared
Cursor Not declared
Codex Not declared
GitHub Copilot Not declared
Windsurf Declared
Gemini CLI Not declared
Cline Not declared
OpenCode Not declared

Repository health

Stars 125
License LICENSE
Default branch main
Open issues 1
Status Active

Skill metadata

Parsed from SKILL.md frontmatter.

Declared agents windsurf

Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 6,736 B
  • docs README.md 1,825 B
  • docs SUMMARY.md 3,926 B

History

  1. First seen on skills.sh
  2. First recorded snapshot · 250 installs

SKILL.md

Sector P/E Ratios

Retrieve price-to-earnings ratios by sector 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.
  • Sector: Technology, Healthcare, Financials, etc.

2. Execute Query via Octagon MCP

Use the octagon-agent tool with a natural language prompt:

Retrieve the latest sector P/E ratios for <DATE>, filtered by exchange <EXCHANGE> and sector <SECTOR>.

MCP Call Format:

{
  "server": "octagon-mcp",
  "toolName": "octagon-agent",
  "arguments": {
    "prompt": "Retrieve the latest sector P/E ratios for 2025-02-03, filtered by exchange NASDAQ and sector Technology."
  }
}

3. Expected Output

The agent returns sector P/E data:

Metric Value
Sector Technology
Exchange NASDAQ
P/E Ratio 58.77
Date 2025-02-03

Data Sources: octagon-stock-data-agent

4. Interpret Results

See [references/interpreting-results.md](references/interpreting-results.md) for guidance on:

  • Comparing company P/E to sector P/E
  • Historical sector valuation context
  • Cross-sector comparisons
  • Exchange-specific analysis

Example Queries

Specific Sector and Exchange:

Retrieve the latest sector P/E ratios for 2025-02-03, filtered by exchange NASDAQ and sector Technology.

All Sectors on Exchange:

Get P/E ratios for all sectors on the NYSE.

Sector Comparison:

Compare P/E ratios for Technology, Healthcare, and Financials sectors.

Historical Trend:

What is the historical P/E trend for the Technology sector on NASDAQ?

Cross-Exchange:

Compare Technology sector P/E ratios on NYSE vs. NASDAQ.

Understanding P/E Ratios

Definition

P/E Ratio = Stock Price / Earnings Per Share

For sectors:

Sector P/E = Weighted Average P/E of all stocks in the sector

Types of P/E

Type Description
Trailing P/E Based on past 12 months earnings
Forward P/E Based on estimated future earnings
GAAP P/E Using GAAP earnings
Non-GAAP P/E Using adjusted earnings

Sector Categories

Major Sectors

Sector Typical P/E Range
Technology 25-60
Healthcare 18-35
Financials 10-18
Consumer Discretionary 15-30
Consumer Staples 18-25
Industrials 15-25
Energy 8-20
Utilities 15-22
Real Estate 30-50
Materials 12-20
Communications 15-25

P/E Characteristics by Sector

Sector P/E Tendency Reason
Technology Higher Growth expectations
Financials Lower Mature, regulated
Utilities Moderate Stable, dividend-focused
Healthcare Variable Mix of growth/value

Major Exchanges

Exchange Characteristics

Exchange Focus
NYSE Large-cap, established
NASDAQ Tech-heavy, growth
AMEX Smaller companies, ETFs

Exchange P/E Differences

Factor NYSE NASDAQ
Tech Weight Lower Higher
Average P/E Generally lower Generally higher
Growth vs. Value More balanced Growth-tilted

Using Sector P/E for Analysis

Company Valuation Context

Comparison Interpretation
Company P/E < Sector P/E Potentially undervalued or issues
Company P/E = Sector P/E Fairly valued relative to sector
Company P/E > Sector P/E Premium valuation or overvalued

Premium/Discount Calculation

Premium/Discount = (Company P/E - Sector P/E) / Sector P/E × 100%

Example

  • Company P/E: 45
  • Sector P/E: 58.77
  • Discount: (45 - 58.77) / 58.77 = -23.4% (trading at discount)

Historical Context

Valuation Levels

Sector P/E vs. History Interpretation
Above 10-year average Potentially elevated
At 10-year average Normal valuation
Below 10-year average Potentially attractive

Cycle Considerations

Phase Typical Sector P/E Behavior
Early Recovery Rising from lows
Mid-Cycle Moderate, stable
Late Cycle Often elevated
Recession Compressed or distorted

Cross-Sector Analysis

Relative Value

Comparison Use
Tech vs. Financials Growth vs. value
Cyclical vs. Defensive Risk appetite
High vs. Low P/E Market expectations

Rotation Signals

Signal Meaning
Tech P/E rising faster Growth favored
Value sectors rising Risk-off rotation
Convergence Normalization
Divergence Theme-driven market

Data Considerations

Timing

Factor Consideration
Earnings season P/E updates with new earnings
Price movements Daily fluctuation
Index rebalancing Composition changes

Calculation Differences

Source May Differ On
Weighting Market-cap vs. equal
Earnings Trailing vs. forward
Constituents Index composition

Common Use Cases

Stock Valuation

Is AAPL's P/E reasonable compared to the Technology sector?

Sector Selection

Which sectors have the lowest P/E ratios currently?

Market Timing

Are Technology sector valuations elevated compared to history?

Portfolio Analysis

How do my holdings' P/E ratios compare to their sectors?

Analysis Tips

  1. Compare apples to apples: Same sector, similar companies.
  1. Consider growth: High P/E may be justified by high growth.
  1. Check historical range: Current vs. typical levels.
  1. Look at earnings quality: P/E only as good as earnings.
  1. Cross-reference exchanges: Same sector, different exchanges.
  1. Watch for outliers: Negative earnings distort averages.

Integration with Other Skills

Skill Combined Use
financial-metrics-analysis Company P/E vs. sector
income-statement Earnings driving P/E
stock-quote Current price context
analyst-estimates Forward P/E calculation