Comparable Company Analysis
Capital Markets Financial Model (Free Excel Download)
Value a company against selected public peers using revenue and EBITDA multiples, operating metrics, percentile benchmarks, and implied enterprise value ranges.
professionals from Deloitte
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About this model
This comparable companies analysis model gathers trading multiples from publicly listed peer companies and derives implied valuation ranges for a target company. It includes a peer database showing enterprise value, EBITDA, revenue, and free cash flow for comparable public companies; calculates trading multiples (EV/EBITDA, P/E, EV/Revenue, P/FCF) for each peer; filters outliers and calculates median, 25th, and 75th percentile multiples; and applies those multiples to the target's metrics to generate low, base, and high valuation estimates. A summary waterfall bridges peer multiples to target valuation and flags the sensitivity to peer selection and multiple choice.
The model produces transaction multiple data (M&A pricing for recent acquisitions in the sector) for comparison to trading multiples, showing the typical spread between public company valuations and acquisition prices. Growth and margin adjustment sections allow the user to apply a discount or premium to the median multiple if the target has above-market or below-market growth or margins relative to the peer set. Output includes valuation ranges by multiple and a consolidated valuation football field summarising the low, base, and high estimates across EV/EBITDA, EV/Revenue, and P/E methods.
This model is used by investment bankers building fairness opinions, sell-side advisors pricing initial asking prices, corporate development teams evaluating inorganic growth opportunities, and private equity firms bench-marking offer prices against trading comparables. It is essential for any M&A process where market-based valuation supports deal committee discussions and ensures transaction prices reflect current public market sentiment.
What every model includes
Live formulas, no hardcoded values
Outputs are driven by live formulas, so the workbook updates from its assumptions instead of relying on hardcoded results.
All assumptions in one tab
Inputs are clearly marked in the Assumptions tab and separated from calculations, making it clear what to change and what to leave intact.
Statements always balancing
For integrated-statement models, the balance sheet, cash flow, and supporting schedules tie through properly.
Distinct schedules for clarity
Debt, working capital, taxes, and cash flow can get messy quickly. We group calculations in clear schedules, not across disconnected tabs.
No hidden macros or external links
There are no unexplained external workbook links or macros to undermine auditability or portability.
Changes flow through the model
Update a key driver and see the impact carry through the forecast, financing, and return outputs. We never use hardcoded numbers in formulas.
What's inside the Comparable Company Analysis
- Peer company input set and screening framework
- Trading multiples including EV and equity metrics
- Outlier handling and summary statistics
- Implied valuation range outputs
- Equity bridge to implied share price
- Peer company list with market cap and trading multiples
- EV/EBITDA, P/E, EV/Revenue, and custom multiples
- Trading vs. transaction multiple comparison
How the Comparable Company Analysis Template Works: A Plain-English Guide
This comparable company analysis template provides an Excel-ready structure for valuing a target using peer trading multiples. It guides you from peer selection through to implied share price and a football-field summary, capturing operating drivers like growth, margins, and leverage.
Below we explain the documented flow, outputs, and practical considerations so you can judge whether the approach fits your valuation work.
What the Template Covers and How Peers Are Organised
The model is an institutional-grade trading-multiples template. Given a target and a peer set, it derives an implied valuation range from LTM and NTM multiples.
- It benchmarks the target against peer growth and margins, and ships a football-field table summarising implied enterprise value, equity value, and share price by methodology. The workbook includes Cover, Assumptions, Company_Data, Trading_Comps, Implied_Valuation, and Disclaimer sheets, each with a specific role in the flow.
- Peer construction starts on Company_Data, where each peer is tagged Core, Broader, or Excluded. Core peers are close substitutes and feed a dedicated Core summary block; Broader peers widen the set; Excluded peers remain for transparency but are not automatically removed.
The template ships with eight illustrative peers, though the institutional default is eight to fifteen. When populating, weigh industry overlap, business model, scale, geography, and accounting comparability.
Multiples, Statistics, and Outlier Treatment
The template computes LTM and NTM multiples for EV/Revenue, EV/Gross Profit, EV/EBITDA, EV/EBIT, EV/(EBITDA−CapEx), P/E, and P/Book (LTM only), plus PEG. The EV bridge calculates enterprise value as market cap plus debt, minus cash, plus minority interest and preferred, all FX-adjusted.
- Equity multiples like P/E capture residual value to common equity directly, so implied equity value is not grossed up to EV; doing so would double-count leverage already embedded in peer P/E.
- For each multiple, summary statistics include mean, median, Q1, Q3, and n calculated over an IQR-filtered set, while minimum and maximum remain unfiltered and are labelled as including outliers. A Tukey IQR rule with a default 1.5 multiplier determines which peers are kept; the trim affects mean, median, Q1, and Q3, but not min or max.
A Diagnostics block flags each peer as kept or trimmed, and Core Mean, Median, Q1, and Q3 are also reported over Core-tagged peers regardless of trimming.
Implied Valuation Calculation Flow
For each multiple, implied target EV or equity equals the target metric times the peer statistic times an adjustment factor. That factor is one plus the difference between target growth and peer median growth, multiplied by a growth sensitivity input.
- The model then averages the five EV-multiple-implied enterprise values, averages the two equity-multiple-implied equity values, and blends LTM and NTM results using weights that must sum to one. A conditional-format check flags any non-zero residual.
- The blended implied EV walks through an equity bridge by subtracting debt, minority interest, and preferred, then adding cash. The resulting equity is averaged with the P/E and P/Book equity to produce a final average equity, which is divided by shares outstanding to yield an implied share price.
Mean and median columns run independently end to end. Separately, a selected implied share price uses a valuation basis choice to pick between mean, median, Core mean EV/EBITDA, or Core median EV/EBITDA, exposing one headline figure.
Target Benchmarking, Football Field, and Practical Use
A benchmarking block positions the target against the peer distribution on six dimensions: LTM revenue, revenue growth, gross margin, EBITDA margin, EBIT margin, and net debt/EBITDA. Each metric shows the target, peer median, Q1, Q3, and the target percentile using PERCENTRANK.INC, so you can see where the company stands relative to peers and make the implied valuation more defensible.
- The football-field table reports low and high EV, equity, and share price for each methodology, including LTM and NTM multiples, blended results, and a precedent transactions memo row. The range toggles between Q1–Q3 and min–max via a single input.
- A final reference range row collapses across methodologies. The public download is a values-only preview; the underlying model captures these relationships and can be wired up in Excel.
To use it, override the placeholder target and illustrative peer financials, set the IQR multiplier, blend weights, valuation basis, growth sensitivity, and football-field range. The model includes validation checks such as a weight-sum flag, IFERROR wrappers, and a visible outlier flag, with no hidden columns or merged-cell traps.



Formatted to IB standards
Named theme colors repaint the whole workbook in one click, on top of an investment-banking structure with clear input, output, and cross-sheet reference styling - brand-ready, institutional-grade, and fully auditable.
Created by ex-finance professionals
Hey, I’m Alex and I created Finamodel.
Over my years in the finance industry I kept building the same models over and over again. Same structure, same assumptions, different logo. So I started building frameworks to turn them into clean, reusable templates.
Every model here is one I’d actually use for a client, and I personally vet each one before it goes up.
I’m not an expert in every industry, but I’ve built enough models to know what belongs in one. And when something is completely foreign to me, I reach out to my network for experts to work on our models with us.
Having a template library on hand cuts a first build from hours to minutes.
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Frequently asked
What is a comparable company analysis?+
It is a valuation method that uses trading multiples from similar public companies to estimate a valuation range for a business.
What multiples are usually included?+
Typical multiples include EV to revenue, EV to EBITDA, EV to EBIT, and price to earnings, depending on the business.
What should a comps model include?+
It should include peer company inputs, trading multiples, summary statistics, and an implied valuation range.
Why is peer selection important?+
Because the quality of the output depends heavily on whether the peer set is actually relevant to the company being analysed.
Is this used on its own?+
Often it is used alongside DCF and transaction analysis rather than as the only valuation method.
Have more financial modelling questions? Contact us
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