Comparable company analysis – “comps” – values a stock by comparing it to similar companies using valuation multiples. If a peer group trades at a typical multiple of earnings or cash flow, applying that multiple to the company in question gives an implied value. It is fast and market-based, and it lives or dies on the quality of the peer set.
This guide covers how comps work, why choosing the peers is the whole game, how a range is built from a peer set, and the pitfalls – especially the flattering “aspirational” peer group that quietly inflates a target.
What comps do
Where a DCF builds value from a company’s own cash flows, comps borrow it from the market. The logic: if similar businesses trade at, say, 20 times EBITDA, then a comparable company should trade somewhere near that too. The output is a market-anchored value – what investors are currently willing to pay for businesses like this one.
Choosing the peer set – the make-or-break step
Comps are only as good as the peers chosen, which makes peer selection the most important – and most abused – decision in the method. Genuine comparables share the things that drive valuation: sector, business model, size, growth rate and margins. A £400M cybersecurity company growing 25% with 72% gross margins belongs with similar mid-cap, high-margin software peers – not with a £4.5B platform growing 18%, however well known that larger name is.
The multiples used
Different multiples suit different situations, and a robust analysis usually looks at more than one.
| Multiple | Best for |
|---|---|
| EV/EBITDA | Most companies; includes debt, so it compares the whole enterprise |
| P/E | Profitable, mature companies with stable earnings |
| EV/Revenue | High-growth or not-yet-profitable companies where earnings are thin |
The danger is comparing the wrong multiple across the wrong companies – a P/E means little for a loss-making firm, and mixing multiples across very different businesses produces a number that looks precise but means nothing.
From multiple to value
The mechanics are simple: take the peer group’s representative multiple – usually the median – and apply it to the subject company’s own metric. A peer median of 20× EBITDA applied to the company’s EBITDA gives an implied enterprise value; subtract net debt and divide by shares for a per-share figure. The median is preferred to the average because it resists distortion from one extreme peer.
A range from the peer set
Rather than a single point, a peer set naturally yields a range. Analysts often map it to scenarios using percentiles: the 25th percentile as a bear case, the median as the base case, and the 75th percentile as a bull case. This frames a realistic spread of where the market might value the company, instead of pretending to a false precision.
Why a discount to peers is not automatically cheap
The most common beginner error is to treat any discount to the peer multiple as a buy signal. It often is not. A company may trade below its peers for good reason: slower growth, thinner margins, more debt, or higher risk. Higher growth genuinely justifies a higher multiple, so a lower multiple can be entirely fair. The right question is not “is it cheaper?” but “is the discount deserved?”
Blending comps with the DCF
Comps and a DCF answer the same question from different angles – one from the market, one from the cash flows – so analysts often combine them into a blended target, weighting each method by how much they trust it: blended target = (DCF × weight) + (comps × weight). If a DCF gives £22 and comps give £25, a blend lands around £23 to £24. When the two methods sit close together, confidence rises; when they diverge sharply, that gap is itself worth understanding before trusting either.
Key takeaways
- Comps value a company against similar peers using multiples – a fast, market-based method.
- Peer selection is everything; an “aspirational” peer group inflates the implied value.
- EV/EBITDA suits most companies, P/E suits stable earners, EV/Revenue suits high-growth firms.
- Apply the peer median multiple to the company’s metric to derive an implied value.
- A discount to peers is not automatically cheap – it may be justified by lower growth or higher risk.
- Blending comps with a DCF gives a weighted target; close agreement raises confidence.
Frequently asked questions
What is comparable company analysis?
Comparable company analysis values a stock by applying the valuation multiples at which similar companies trade. If peers trade at a typical multiple of earnings or cash flow, applying that multiple to the subject company gives a market-anchored implied value.
How do you choose comparable companies?
Genuine peers share the drivers of valuation: sector, business model, size, growth rate and margins. The most reliable comps are true like-for-like matches, not larger or faster-growing names the company would aspire to resemble.
What is an aspirational peer group?
It is a peer set padded with larger, faster-growing or more highly rated companies than the subject genuinely compares to. Because those richer peers lift the median multiple, the analysis produces an inflated value – a common red flag.
Why isn’t a discount to peers always a buy signal?
A company can trade below its peers for legitimate reasons – slower growth, thinner margins, more debt or higher risk. Higher growth justifies a higher multiple, so a lower one may be fair. The question is whether the discount is deserved.
How are comps and a DCF combined?
Analysts often produce a blended target by weighting each method: blended target = (DCF × weight) + (comps × weight). Close agreement between the two raises confidence; a large gap is worth investigating before trusting either figure.
Sources and further reading
For professional standards on valuation and analysis, see the CFA Institute. All companies, figures and multiples in this article are illustrative.
Build a peer set, derive an implied value from real multiples, and learn to spot an aspirational peer group.
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