octagonai Sector P/E Ratios
Retrieve price-to-earnings ratios by sector and exchange using the Octagon Claude plugin.
Prerequisites
Ensure the Octagon Claude plugin is installed and configured in Claude Code before invoking this skill.
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 the Octagon Claude plugin
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-claude-plugin",
"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
Compare apples to apples: Same sector, similar companies.
Consider growth: High P/E may be justified by high growth.
Check historical range: Current vs. typical levels.
Look at earnings quality: P/E only as good as earnings.
Cross-reference exchanges: Same sector, different exchanges.
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 |