Finance Comparable Valuation
SkillCommerce & financeCompare 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.
No other account needed.
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-benchmarkingfinance-dcf-valuationfinance-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