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Comps Outlier Memo

Written in-house · editorially graded

Every SkillsBank offering is written in-house — never scraped or crowd-sourced — and graded against a fixed editorial rubric in a separate grading step.

Dry-run test passed · Jun 13, 2026

Trigger check passed

Editorially graded · Jun 13, 2026

Takes an existing comparable company analysis (comps) table as input and produces a professional analytical memo — delivered as an editable DOCX plus a fixed-layout PDF copy — identifying valuation trends, statistical outliers by IQR methodology, peer group composition issues, and implied valuation ranges for the target company. Structured exactly as a senior banker or equity research associate would write it for a deal team meeting or investment committee. Use when you have a completed or partial comps table and need a narrative interpretation layered on top of it: benchmarking the target, flagging outliers, and surfacing deal implications — triggered by requests like "write up the analysis on my comps," "flag the outliers in this table," or "I need a valuation range memo from these trading multiples."

What you get

An installable SKILL.md file for your AI assistant. Produces a Word document (.docx) and a PDF.

Works in
Claude Code · Cursor
Native — drops into .claude/skills/
Copilot · Codex · Gemini CLI
Native — reads .agents/skills/
claude.ai — web & desktop
Upload the .zip in Customize → Skills
ChatGPT
Via a Project — paste into its instructions

See it in action

A real input → output sample

Sample input
I've got my comps table here. Can you write up the analysis and flag any outliers? I need a memo for the deal team meeting tomorrow.

| Company | EV/EBITDA | EV/Revenue |
|---|---|---|
| AlphaCoat Corp | 9.2x | 1.43x |
| BetaSolv Ltd | 10.8x | 1.71x |
| GammaTech Materials | 11.4x | 1.89x |
| DeltaBase Industries | 12.1x | 2.02x |
| EpsilonChem | 18.7x | 2.13x |
| ZetaFluid Systems | 10.3x | 1.62x |
Sample output
Sample output produced by the Comps Outlier Memo skill
Produced by an AI assistant following this skill on the sample input above.
View the full output as text
Example Output
MEMORANDUM
To: Deal Team
From: [Analyst Name]
Date: 13 Jun 2026
Re: Target Company — Trading Comps Trend & Outlier Analysis | Specialty Chemicals Peer Group | LTM (assumed)

Section 1 — Executive Summary
- The specialty chemicals peer group trades at a trimmed median EV/EBITDA of 10.8x and a full-set median EV/Revenue of 1.80x on an LTM basis.
- EpsilonChem breaches the upper IQR fence and is excluded from the primary central tendency.
- Without target financial metrics, an implied valuation range cannot be calculated.

Section 2 — Peer Group Overview
The peer group comprises six publicly traded specialty chemicals companies on an LTM basis.

Section 3 — Multiple-by-Multiple Analysis
3.1 EV/EBITDA
- Central tendency: The full-set median is 11.1x; the mean is 12.1x. (The trimmed-set median of 10.8x — excluding the EpsilonChem outlier — is the primary central-tendency measure.)
- Spread: The Q1–Q3 range for the trimmed set is 10.3x–11.4x.
- Trend: No multi-period data is available.
- Outliers: EpsilonChem breaches the upper IQR fence.

Section 4 — Outlier Deep Dive
- EpsilonChem: Breaches the upper IQR fence by 5.6x.

Section 6 — Recommendations
1. Obtain target LTM EBITDA and Revenue.
2. Obtain NTM estimates.
3. Run a precedent transactions screen.
4. Investigate EpsilonChem's outlier driver.
5. Expand the peer group.

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