skills/octagonai/skills/sector-pe-ratios

sector-pe-ratios

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 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 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.

  2. Consider growth: High P/E may be justified by high growth.

  3. Check historical range: Current vs. typical levels.

  4. Look at earnings quality: P/E only as good as earnings.

  5. Cross-reference exchanges: Same sector, different exchanges.

  6. 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
Weekly Installs
21
GitHub Stars
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First Seen
Feb 7, 2026
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