Direct Answer
Comparable company analysis (comps) is a relative valuation method that estimates a company's value by examining the valuation multiples - such as P/E, EV/EBITDA, or P/S - of similar publicly traded companies, then applying an appropriate multiple to the subject company's own financial metrics. The method's reliability depends on selecting a genuinely comparable peer group, since differences in growth, margins, risk, or accounting can make multiples less comparable than they first appear.
Key Takeaways
- Comps is a relative valuation method - it prices a company against what the market is currently paying for similar businesses, not against an independent estimate of intrinsic value.
- Common multiples include P/E (price to earnings), EV/EBITDA (enterprise value to EBITDA), and P/S (price to sales); the right choice depends on the industry and the company's profitability.
- Peer selection is the method's central judgment call - a peer group that only shares a sector label, without matching growth, margins, and risk, can produce a misleading result.
- The mechanics are simple: gather peer multiples, choose a representative value (often a median), and apply it to the subject company's own metric.
- Differences in growth, margins, capital intensity, leverage, and accounting policy can all make multiples look less comparable than they first appear.
- Comps is commonly used alongside other valuation approaches, not as a standalone verdict on whether a stock is cheap or expensive.
What Is Comparable Company Analysis?
Comparable company analysis, often shortened to "comps," is a relative valuation method that estimates a company's value by examining the valuation multiples of similar publicly traded companies, then applying an appropriate multiple to the subject company's own financial metrics. Instead of building an independent estimate of cash flows or intrinsic value from scratch, comps starts from a simpler question: what is the market currently paying for businesses that look like this one?
Multiples commonly used in comps include the price-to-earnings ratio (P/E), enterprise value to EBITDA (EV/EBITDA), and price-to-sales (P/S). Each expresses a company's market value as a multiple of some underlying financial metric - earnings, cash-flow-adjacent operating profit, or revenue. The method's usefulness rests almost entirely on one step: selecting a genuinely comparable peer group. Differences in growth, margins, risk, or accounting treatment can make two companies' multiples less comparable than a shared industry label suggests.
How Comps Valuation Works
The method follows the same basic sequence regardless of which multiple is used:
- Select a peer group. Identify publicly traded companies that are genuinely comparable to the subject company - similar business model, end markets, growth profile, margin structure, and risk.
- Calculate each peer's multiple. For a P/E comp, divide each peer's share price by its earnings per share. For EV/EBITDA, divide each peer's enterprise value by its EBITDA. For P/S, divide market capitalization (or share price) by revenue (or revenue per share).
- Derive a representative multiple. Summarize the peer group's multiples - commonly using the median, since it is less distorted by a single extreme value than a simple average.
- Apply the multiple to the subject company. Multiply the representative multiple by the subject company's own metric (its earnings, EBITDA, or revenue) to produce an implied value.
In formula terms: Implied value = Peer multiple × Subject company's metric. For example, implied share price under a P/E comp equals the peer P/E multiple multiplied by the subject company's earnings per share; implied enterprise value under an EV/EBITDA comp equals the peer EV/EBITDA multiple multiplied by the subject company's EBITDA.
| Multiple | Formula | Common use case |
|---|---|---|
| P/E | Share price ÷ earnings per share | Widely used and easy to find; sensitive to leverage, tax rate, and non-operating items. |
| EV/EBITDA | Enterprise value ÷ EBITDA | Capital-structure neutral, so it is often favored when peers carry different amounts of debt. |
| P/S | Market capitalization ÷ revenue | Sometimes used when a company is unprofitable and earnings-based multiples are not meaningful. |
No single multiple is correct in every situation - which one is most appropriate depends on the industry, the company's profitability, and what specifically is being compared.
Worked Example
Hypothetical example - for education only. Suppose an analyst is valuing a subject company using an EV/EBITDA comp against three peers believed to be reasonably similar in business model and growth.
| Peer | Enterprise value | EBITDA | EV/EBITDA |
|---|---|---|---|
| Peer A | $1,200M | $150M | 8.0× |
| Peer B | $900M | $100M | 9.0× |
| Peer C | $1,650M | $150M | 11.0× |
The median EV/EBITDA multiple across the three peers is 9.0× (Peer B's value, the middle of 8.0×, 9.0×, and 11.0× when ranked). The subject company reports EBITDA of $120 million. Applying the median peer multiple: implied enterprise value = 9.0× × $120M = $1,080 million.
From there, an analyst would typically subtract net debt to move from enterprise value to equity value, and divide by shares outstanding to reach an implied share price - steps not shown here since they depend on capital-structure details outside this example. The output is an implied value under this specific peer group and multiple, not a single definitive price - a different peer set or a different multiple (P/E or P/S) could reasonably produce a different implied value for the same company.
How Comps Is Used and What It Can Signal
Comps is commonly used to get a market-grounded read on value relatively quickly, to sanity-check the output of other valuation methods, and to frame a discussion of whether a stock's current multiple looks high or low relative to its peer set. Because it starts from what the market is already paying for similar businesses, it tends to be viewed as reflecting current market sentiment more directly than methods built from an independent forecast of cash flows.
That grounding in current market pricing is also a limitation worth carrying through the interpretation: if peer multiples are collectively inflated or depressed relative to history, a comps-based estimate can inherit that same distortion. A multiple that looks reasonable next to its peer group is not automatically a statement about whether the peer group itself is fairly priced. For this reason, comps is generally treated as one input among several - commonly used alongside other valuation approaches and a review of the underlying business - rather than a standalone answer to whether a stock is undervalued or overvalued.
Limitations and Common Mistakes
| Issue | Why it causes problems |
|---|---|
| Peer group is not genuinely comparable | A shared sector label does not guarantee similar growth, margins, capital intensity, or risk - forcing a comparison between companies that only look alike on the surface can distort the result. |
| Growth or margin differences ignored | A company growing faster or operating at higher margins than its peer set may reasonably deserve a different multiple - applying the peer median without adjustment can misstate value. |
| Accounting differences between peers | Differences in how peers recognize revenue, capitalize costs, or report non-recurring items can make reported earnings, EBITDA, or revenue less comparable than they appear. |
| Leverage differences distort P/E | Because P/E reflects a company's capital structure as well as its operations, comparing P/E across peers with very different debt levels can be misleading; EV/EBITDA is often used instead for this reason. |
| Small or unrepresentative peer set | A peer group that is too small, or dominated by one atypical company, can skew the median multiple away from what a broader, more comparable set would show. |
| Treating the output as a precise, single answer | The implied value depends on which peers, which multiple, and which point in the market cycle are used - comps is generally treated as an estimate for further discussion, not a precise target price. |
The broader limitation is that comps values a company relative to its peers, not in an absolute sense - it says little about whether the peer group as a whole is fairly priced. Treating comps output as an estimate to be weighed alongside other valuation approaches and business-quality review, rather than a definitive conclusion, is the more cautious practice.
Frequently Asked Questions
What is comparable company analysis (comps)?
Comparable company analysis, or comps, is a relative valuation method that estimates a company's value by examining the valuation multiples - such as P/E, EV/EBITDA, or P/S - of similar publicly traded companies, then applying an appropriate multiple to the subject company's own financial metrics.
Which multiple should comps use - P/E, EV/EBITDA, or P/S?
There is no single correct choice. EV/EBITDA is commonly favored because it is capital-structure neutral, P/E is widely used but sensitive to leverage and non-operating items, and P/S is sometimes used for unprofitable companies where earnings-based multiples are not meaningful. The right multiple depends on the industry, profitability, and what is being compared.
How many peer companies should a comps analysis use?
There is no fixed number - a small set of genuinely comparable peers is generally considered more useful than a large set that stretches the definition of comparable. The priority is business-model and risk similarity over reaching a target peer count.
Why can two similar-looking companies have very different multiples?
Differences in growth rates, margins, capital intensity, leverage, accounting policy, and perceived risk can all affect the multiple the market assigns, even between companies in the same industry. A higher or lower multiple is not automatically a mispricing signal - it may simply reflect a real difference the comparison has not accounted for.
Is comps analysis enough to decide whether a stock is undervalued?
No. Comps is one relative valuation method among several, and it depends heavily on peer-group selection and the multiple chosen. It is commonly used alongside other valuation approaches and a review of the underlying business rather than as a standalone verdict.
How often should a comps analysis be updated?
Peer multiples move with market prices every trading day, and the subject company's own financial metrics change with each quarterly filing, so a comps analysis is generally treated as a snapshot that needs refreshing rather than a fixed, one-time output.
How should outliers within a peer set be handled?
Using the median rather than the mean reduces the influence of an extreme multiple, and examining why an outlier trades where it does frequently reveals it is not comparable. Removing outliers without explanation is fitting; removing them because they differ in a specific identified way is analysis. Reporting both the median and the range conveys more than either alone.
What adjustments make peers more genuinely comparable?
Adjusting for differences in growth rate, margin, capital intensity, and leverage where the multiple does not already account for them. A regression of the multiple against growth or returns across the peer set makes the relationship explicit and identifies which companies sit above or below the fitted line. This is more informative than an unadjusted average.
Why can the whole peer group be mispriced at once?
Comps establish relative value against the group, so if sentiment toward the sector is uniformly elevated or depressed, the entire set is priced accordingly and a company trading at the group median is not thereby fairly valued. This is the method's core limitation. Cross-checking against an absolute method, or against the group's own historical multiple range, addresses it partially.