Finance Comparable Valuation

SkillCommerce & finance

Compare companies on a consistent valuation, quality, and business-model frame instead of a loose side-by-side scorecard.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the Finance Comparable Valuation skill

What this skill tells your AI

The instructions your AI receives, as published by contextgo/contextgo in src/process/resources/skills/finance-analyst-pack/skills/finance-comparable-valuation/SKILL.md and read by ahel’s review.

Use this skill when the question is not just "what is this worth?" but "how does it stack up against alternatives?"

Use when

  • The user wants to compare multiple companies or candidates.
  • The discussion depends on relative valuation, growth quality, margins, or balance-sheet strength.
  • A decision requires a consistent side-by-side framework.

Do not use when

  • Only one company matters.
  • The comparison set is too inconsistent to support a fair benchmark.
  • The task is a pure DCF build with no relative lens.

Comparison rules

  • Normalize the frame before judging the result.
  • Compare like with like on period, scale, business model, and capital intensity.
  • Do not let one headline multiple decide the whole conclusion.
  • Call out when one candidate is cheaper for a reason.

Workflow

1. Set the comparison frame

Clarify:

  • which companies are in scope
  • which periods are comparable
  • whether the comparison is about valuation, quality, growth, risk, or all of them

2. Choose the right lenses

Potential lenses:

  • profitability and margin quality
  • growth durability
  • leverage and liquidity
  • cash conversion
  • valuation multiples
  • business quality and resilience

3. Normalize and compare

For each important lens:

  • use the same basis across candidates
  • identify outliers and reasons
  • separate cheapness from real quality

4. Conclude with tradeoffs

The answer should explain:

  • who looks stronger on quality
  • who looks more attractive on valuation
  • where the market may be over- or under-pricing risk
  • what extra diligence would change the ranking

Output format

Return:

1. Comparison frame

  • candidates
  • period basis
  • key assumptions

2. Side-by-side comparison

  • metric or lens
  • candidate observations
  • notable gaps or caveats

3. Relative conclusion

  • strongest candidate and why
  • cheapest candidate and why
  • where the tradeoff is real rather than cosmetic

Use together with

  • finance-ratio-benchmarking
  • finance-dcf-valuation
  • finance-investment-screening

Signals

GitHub stars
54
Forks
5
Last commit
May 2026
Advanced
Catalog kind
skill
Gateway key
finance-comparable-valuation
Source
github.com/contextgo/contextgo