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Comparable company analysis.

Aka. Trading comps · comparable companies · public comps

What is comparable company analysis?

Comparable company analysis — "comps" or "trading comps" — values a business by looking at the valuation multiples that similar, publicly traded companies trade at, and applying those multiples to the target's own financials. If a peer set trades at a median of 10x EBITDA, a comparable target is roughly worth 10x its EBITDA, give or take adjustments for differences.

It is a relative valuation method: it prices a company against what the market is currently paying for its peers, rather than against the intrinsic value of its own cash flows the way a DCF does. Comps tell you what a company is worth today in the prevailing market, not what it is worth in some absolute sense.

The whole method lives or dies on the quality of the comparable set. Choose genuinely similar businesses and the output is a credible market check; stretch the peer group to include businesses that are bigger, faster-growing, or differently structured, and the analysis quietly misleads.

How comparable company analysis is built

A comps analysis is constructed in a disciplined sequence:

  1. Select the peer set. Identify public companies that genuinely resemble the target in business model, sector, size, growth, and margin profile. This is the most judgment-heavy step.
  2. Gather the metrics. Pull enterprise value, equity value, and the relevant earnings or revenue figures for each peer, often on both a trailing and a forward (NTM) basis.
  3. Compute the multiples. Calculate EV/EBITDA, EV/revenue, P/E, and others across the set, then summarize with a median and a range rather than a single average.
  4. Apply to the target. Multiply the target's earnings base by the chosen multiples to derive an implied valuation range, adjusting for differences in growth and quality.

The output is a range, not a point. A clean comps analysis ends with a band of implied values and an honest view of where in that band the target belongs.

Comps versus precedent transactions and DCF

Comparable company analysis, precedent transactions, and discounted cash flow are the three standard valuation methods, and they answer slightly different questions. Comps reflect where peers trade in the public market right now — minority, no-control prices. Precedent transactions reflect what acquirers actually paid in past deals, and therefore carry a control premium. DCF reflects intrinsic value derived from the company's own projected cash flows.

No single method is correct. The convention is to triangulate: comps for the market check, precedents for the acquisition benchmark, and DCF for the intrinsic view. Where the three converge is a defensible value; where they diverge is where the interesting questions live.

Frequently asked.

4 questions
01 What makes a company a good comparable?

Similarity along the dimensions that drive valuation: the same sector and business model, comparable size, similar growth and margin profile, and a similar capital structure. The closer the operating economics, the more reliable the read-across.

The common failure is reaching for peers that are simply available rather than genuinely alike. A short list of close comparables is more useful than a long list of loose ones.

02 Why does comparable company analysis exclude a control premium?

Because public trading multiples reflect the price of a small, minority stake that changes hands on an exchange — no buyer is acquiring control. An acquisition of the whole company typically commands a premium for control, which trading comps do not capture.

That is why precedent transaction analysis usually shows higher multiples than comps: it measures prices paid to acquire entire companies, control included.

03 Why present a range instead of a single value?

Because peers never trade at an identical multiple, and the target is never identical to any of them. The honest output is the range the peer set implies, with a view on where the target sits within it based on its relative growth and quality.

Collapsing the range to a single number hides the judgment underneath and overstates the precision of what is fundamentally a market comparison.

04 How often does a comps analysis need refreshing?

Constantly, because it is anchored to live market prices. Peer multiples move with every trading day, with earnings releases, and with sector sentiment, so a comps set built three months ago may no longer reflect the market.

Keeping a peer set and its multiples refreshed against current prices — rather than frozen in a one-time deal model — is exactly the kind of living analysis VectorShift keeps queryable across the life of an investment.

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