Quick Take
1. Start with the business model
A recurring software company should not be benchmarked against an ad-supported marketplace just because both are labeled tech.
Quick Take
2. Pressure-test operating similarity
Look at revenue mix, customer type, sales motion, margin structure, and capital intensity before you accept a company into the set.
Quick Take
3. Use multiples that match the story
High-growth or lower-margin companies may screen better on EV/Revenue, while mature names often compare more cleanly on EBITDA or earnings.
Step 1: Define what the target company actually is
Before you try to find comp companies, write a one-paragraph investment description for the target. Include the product, core customers, geography, monetization model, and what drives growth. This forces clarity on the operating identity you are trying to match.
Analysts often skip this and jump straight to keyword screens. That usually produces a noisy list of public companies that share a headline category but behave very differently in the market.
Step 2: Screen for a broad peer universe
Start broad. Your first pass should capture companies that might be relevant, not just the final peer set. Industry classifications, equity research coverage lists, public competitor disclosures, and prior banking materials are all useful sources.
Step 3: Narrow the list into a usable comp set
Once you have a long list, rank candidates by true comparability. A strong comp set is usually small enough to explain line by line. If you cannot justify why a name belongs in the set, it probably should not be there.
Step 4: Pull the right trading comps metrics
After the peer set is stable, collect the market data and operating metrics that will drive the valuation read. For most comparable company analysis workflows, that means EV, revenue, EBITDA, earnings, growth, and margin context.
The right multiple depends on sector economics. Software and other high-growth sectors often center on EV/Revenue, while mature businesses are more often judged on EV/EBITDA or P/E. Use the metric that the market actually cares about.
Common mistakes when you find comp companies
Where a valuation comps tool helps
The most time-consuming part of comp analysis is not building the final table. It is getting to a credible peer list quickly. A good peer company finder reduces the first-pass screening work so you can spend more time on judgment and less time on manual searching.
Peerset's free comparable company analysis tool is built for that first-pass workflow, and the trading comps guide explains how to interpret the output once the set is assembled.
FAQ
What makes a good comparable company?
A good comp matches the target company on business model, end market, geography, scale, growth, and margin profile closely enough that the trading multiples are decision-useful.
How many comparable companies should be in a comp set?
Most analysts start with a broad screen, then refine to roughly five to ten names that best represent the target company's positioning and operating profile.
Should private companies be used in a trading comps set?
Trading comps rely on public market multiples, so the core set is usually public companies. Private companies can still be useful in supporting market maps or transaction workstreams.
What metrics matter most in comparable company analysis?
The priority metrics depend on the sector, but common anchors are revenue growth, EBITDA margin, EV/Revenue, EV/EBITDA, P/E, and a clear view of the company's business model and customer base.