ratings-snapshot

Retrieve ratings snapshot with overall rating and key metric scores including DCF, ROE, ROA, Debt-to-Equity, P/E, and P/B for public companies. Use when screening stocks, comparing quality metrics, or quick fundamental assessment.

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Install skill "ratings-snapshot" with this command: npx skills add octagonai/skills/octagonai-skills-ratings-snapshot

Ratings Snapshot

Retrieve ratings snapshot with overall rating and key metric scores for public companies using Octagon MCP.

Prerequisites

Ensure Octagon MCP is configured in your AI agent (Cursor, Claude Desktop, Windsurf, etc.). See references/mcp-setup.md for installation instructions.

Query Format

Retrieve a ratings snapshot with overall rating and key metric scores (DCF, ROE, ROA, Debt-to-Equity, P/E, P/B) for <TICKER(S)>, limited to <N> records.

MCP Call:

{
  "server": "octagon-mcp",
  "toolName": "octagon-agent",
  "arguments": {
    "prompt": "Retrieve a ratings snapshot with overall rating and key metric scores (DCF, ROE, ROA, Debt-to-Equity, P/E, P/B) for AAPL, MSFT, GOOGL, limited to 10 records"
  }
}

Output Format

The agent returns a table with rating scores:

MetricScore
Overall RatingB
Discounted Cash Flow (DCF)3
Return on Equity (ROE)5
Return on Assets (ROA)5
Debt-to-Equity1
Price-to-Earnings (P/E)2
Price-to-Book (P/B)1

Data Sources: octagon-financials-agent, octagon-stock-data-agent

Metrics Reference

MetricWhat It MeasuresHigher Score Means
Overall RatingComposite assessment (A-F or similar)Better overall quality
DCF ScoreIntrinsic value vs market priceMore undervalued
ROE ScoreReturn on shareholder equityBetter profitability
ROA ScoreReturn on total assetsBetter asset efficiency
Debt-to-EquityLeverage assessmentLower leverage (better)
P/E ScoreEarnings valuationMore attractive valuation
P/B ScoreBook value valuationMore attractive valuation

Score Interpretation

Overall Rating Scale

RatingInterpretation
AExcellent - Top quality
BGood - Above average
CAverage - Moderate quality
DBelow Average - Concerns present
FPoor - Significant issues

Component Scores (typically 1-5)

ScoreInterpretation
5Excellent - Top quintile
4Good - Above average
3Average - Middle of pack
2Below Average - Bottom half
1Poor - Bottom quintile

Analysis Tips

Quick Screening

Use ratings for initial filtering:

  • Focus on A/B overall ratings
  • Look for multiple high component scores
  • Flag low scores for investigation

Identify Strengths and Weaknesses

Component analysis reveals:

  • High ROE + High ROA = Efficient operator
  • Low D/E = Conservative financing
  • Low P/E + Low P/B = Value candidate
  • High DCF = Potentially undervalued

Peer Comparison

Compare ratings across competitors:

  • Same industry normalization important
  • Relative ranking within sector
  • Identify best-in-class

Value vs Quality Trade-off

Different profiles:

  • High profitability + High valuation = Quality premium
  • Low profitability + Low valuation = Value trap risk
  • High profitability + Low valuation = Potential opportunity

Component Deep Dives

DCF (Discounted Cash Flow)

  • Compares intrinsic value to market price
  • High score = stock appears undervalued
  • Based on cash flow projections

ROE (Return on Equity)

  • Net Income / Shareholders' Equity
  • Measures profit per dollar of equity
  • Industry-relative comparison important

ROA (Return on Assets)

  • Net Income / Total Assets
  • Measures profit per dollar of assets
  • Lower for asset-heavy industries

Debt-to-Equity

  • Total Debt / Shareholders' Equity
  • Lower = less financial risk
  • Industry norms vary significantly

P/E (Price-to-Earnings)

  • Stock Price / Earnings Per Share
  • Lower may indicate value
  • Compare to growth rate (PEG)

P/B (Price-to-Book)

  • Market Cap / Book Value
  • Lower may indicate value
  • Less relevant for asset-light companies

Follow-up Queries

Based on results, suggest deeper analysis:

  • "What specific ratings criteria are used to calculate these scores?"
  • "Are there historical trends in these metrics for [COMPANY]?"
  • "What is the methodology for calculating the overall rating from component scores?"
  • "Compare detailed financial metrics for [TICKER1] vs [TICKER2]"

Source Transparency

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