Team AcumenSphere
|Last Updated: September 1, 2026
|Publish Date: September 1, 2026
How comparable company analysis actually works: picking a genuine peer group, choosing the right multiples, and a full worked example showing how a range of values comes out the other end.
A company is worth what the market is currently paying for its closest peers. That's the entire premise behind comparable company analysis. It's one of three methods, alongside a discounted cash flow model and precedent transactions, that shows up in nearly every serious valuation.
This article covers the method, the exact steps to run one, a full worked example, and when CCA gets used instead of, or alongside, other valuation approaches.
What Is Comparable Company Analysis?
Comparable company analysis, or CCA, is a relative valuation method. Instead of forecasting a company's own future cash flows, it values a company by comparing it to similar publicly traded companies using valuation multiples. Practitioners often just call this "comps" or "trading comparables," since the multiples come from how the market is currently trading similar public companies, not from a private transaction.
The core logic is straightforward: find genuinely similar companies, see what multiple of earnings or revenue the market is paying for them, and apply that same multiple to the company you're trying to value.
The Multiples Used in CCA
Not every multiple works equally well for every situation.
Multiple | What it measures | Why it's used |
|---|---|---|
EV/EBITDA | Enterprise value relative to earnings before interest, tax, depreciation, and amortization | Capital-structure neutral — removes the effect of different debt levels and tax rates. The most widely used multiple in CCA |
EV/Revenue | Enterprise value relative to revenue | Useful when a company isn't yet profitable, common for early-stage or high-growth companies |
P/E | Share price relative to earnings per share | Common for mature, profitable companies, but distorted by different capital structures |
P/B | Share price relative to book value | More relevant for financial-sector companies (banks, insurers) than operating businesses |
EV/EBITDA earns its place as the default multiple because it strips out financing decisions entirely. Two companies with identical operations but different amounts of debt will show very different P/E ratios but nearly identical EV/EBITDA multiples, which makes EV/EBITDA the fairer basis for comparison.
Steps to Conduct a Comparable Company Analysis
Identify the target company's business and industry. Everything downstream depends on getting this right — a software company and a software-enabled logistics company are not the same peer universe.
Screen for comparable companies. Look for similar industry classification, size, growth rate, margin profile, and geography. Most practitioners aim for 5 to 15 comparable companies. Fewer than 5 makes the sample statistically unreliable, and more than 15 usually means including companies that aren't truly comparable.
Gather financial data. Pull market capitalization, enterprise value, revenue, EBITDA, and net income for each peer, typically from public filings and market data providers.
Calculate the multiples for each peer. Compute EV/EBITDA, EV/Revenue, and any other relevant multiple for every company in the peer set.
Calculate summary statistics. Find the median and mean multiple across the peer group, along with the range, since a single average can be skewed by one outlier.
Apply the multiple to the target company. Multiply the peer group's median (or mean) multiple by the target company's own EBITDA or revenue to get an implied enterprise value.
Adjust for differences. A private company being valued against public peers typically needs a discount for lack of marketability, and any control-versus-minority distinction should be applied at this stage too.
Worked Example (Illustrative)
Assume a private SaaS company has EBITDA of $8.0 million, and five public peer companies show the following EV/EBITDA multiples:
Peer | EV/EBITDA multiple |
|---|---|
Peer A | 12.5x |
Peer B | 14.0x |
Peer C | 11.0x |
Peer D | 13.5x |
Peer E | 15.5x |
Sorted, the median multiple (the middle value) is 13.5x, and the mean is 13.3x. Applying the median multiple to the target's EBITDA gives an implied enterprise value of $108.0 million ($8.0M x 13.5). Using a realistic range around the median, say 12.0x to 14.5x, produces an implied value range of $96.0 million to $116.0 million. That's a spread of about 20.8% of the low end. That spread is normal for a comps analysis, not a sign of error, since it reflects the genuine variation across even a well-chosen peer group.
Two adjustments would typically follow before finalizing this number for a private company. The first is applying adjusted EBITDA, not reported EBITDA, for both the target and the peer group so one-time items don't distort the multiple. The second is layering in a discount for lack of marketability, since the target's shares can't be sold as freely as a public peer's stock.
When Is Comparable Company Analysis Used?
Alongside a DCF, as a cross-check. A discounted cash flow model gives an intrinsic value based on projected cash flows; CCA gives a market-based reality check on that same number. Analysts commonly present both side by side.
In M&A deal work. Bankers and advisors run CCA to establish a market-grounded starting point for negotiations, often alongside the precedent transaction method, which uses actual acquisition prices rather than current trading prices.
For IPO pricing. Underwriters lean heavily on comps since the goal is pricing against what the public market is paying for similar, already-listed companies today.
When cash-flow projections are too uncertain for a reliable DCF. Early-stage or highly cyclical companies can have cash-flow forecasts too speculative to trust, making a market-based comps approach more defensible.
In litigation and fairness opinions. Courts and fairness-opinion providers often want a value that's anchored to observable market data, not just a set of internally generated assumptions.
Advantages and Limitations
CCA's biggest advantage is that it's grounded in real, observable market prices rather than internally generated assumptions, and it's typically faster to run than building a full DCF model.
Its limitations are just as real. Finding genuinely comparable public companies can be difficult for niche or unusual businesses. The output reflects current market sentiment, which can be temporarily inflated or depressed for the entire sector, not just the target company. And multiples-based valuation says nothing directly about a company's own specific growth trajectory or risk profile the way a DCF's explicit assumptions do.
Need a Defensible Comparable Company Analysis?
Picking the right peer group and applying the right adjustments is where most comps analyses actually go wrong, not the arithmetic. AcumenSphere builds CCA into every valuation engagement using a defensible, well-documented peer-selection process, not a shortcut list of the first similar-sounding tickers.
If you need an independent business valuation built on a properly constructed comparable company analysis, contact our team.
