Comparable Company Analysis
A valuation technique that values a target business by reference to the trading or transaction multiples of similar companies — often called "trading comps" (public company multiples) or "transaction comps" (recent M&A multiples).
Full Definition
Comparable company analysis is one of the three standard valuation approaches (along with discounted cash flow and precedent transactions analysis — though precedent transactions is often considered a subset of comps). The logic is straightforward: if similar companies trade at 6x EBITDA, this company should trade somewhere near 6x, adjusted for differences in size, growth, margins, and quality.
How it actually works: The analyst selects a "peer group" — typically 5–15 companies that are similar in industry, geography, business model, and size. For public company comps, the multiple is calculated from market data (enterprise value divided by LTM or projected EBITDA). For transaction comps, the multiple is calculated from completed deals (enterprise value at close divided by LTM EBITDA at close).
In SMB/LMM M&A, pure public company comps are often of limited relevance because public companies are much bigger and trade at higher multiples than SMBs. Transaction comps are more useful but data is harder to come by — SMB transactions aren't public. Sources include industry databases (Pratt's Stats, BizComps, IBBA surveys), industry association data, and banker/advisor market intelligence. The data is imperfect but directionally useful.
Adjustments to comps matter: a peer group average 6x multiple applies to a target that's *average* among the peer group. Above-average quality (stronger growth, better margins, lower concentration) justifies a premium; below-average quality justifies a discount. Size discounts (smaller companies trade at lower multiples than larger ones in the same industry) are particularly important in LMM.
Seller vs. Buyer Perspective
Comps are ammunition for your valuation argument, not determinants of it. Gather comps for businesses similar to yours — industry, revenue range, growth profile, margins. Be especially mindful of recent transactions (more predictive than public comps for SMB deals). Understand where you sit relative to the peer group: if peers trade at 5.5x median and you have better margins, lower concentration, and faster growth, you should trade at 6–6.5x. Document your arguments with data. A weak comps analysis hands the multiple argument to the buyer.
Comps are the first check on whether a deal is priced reasonably. Your investment thesis should clearly identify how the target compares to peers — and what justifies any premium or discount. Beware of cherry-picked comps. If the seller's banker included three tech deals at 9x in a set of services deals at 4–5x, test whether those tech deals really belong. For LMM, transaction comps matter more than trading comps — SMB businesses don't trade like public companies, and the size discount alone can be 2–4x.
Real-World Example
A sell-side banker prepares a comps analysis for a $4.2M EBITDA specialty distribution business. Peer group — recent transactions: twelve specialty distribution deals with EBITDA $2–8M, geographically diverse, closed 2023–2024. Multiples observed: 4.1x, 4.4x, 4.5x, 4.8x, 5.0x, 5.2x, 5.3x, 5.5x, 5.7x, 5.9x, 6.2x, 6.8x. Median 5.25x, average 5.28x, range 4.1–6.8x. Position analysis: the target has above-median growth (11% vs. ~6% average), above-median gross margins (34% vs. 28% average), and below-median concentration (top customer 9% vs. 15% average). Banker argues for 5.75–6.25x multiple, positioning above the median. Actual result: sale closes at 5.8x ($24.4M) — above median as expected, but not at the top of the range because buyer financing market had tightened since some comp transactions closed.
Why It Matters & Common Pitfalls
- !Cherry-picking peers. Sellers select high-multiple comps; buyers select low-multiple comps. Good analysis uses the full peer set.
- !Size matters. SMB/LMM businesses typically trade 1–3x below larger businesses in the same industry. A set of $50M EBITDA comps is misleading for a $4M EBITDA target.
- !Time drift. Transactions from 2–3 years ago may not reflect current market conditions (interest rates, sector dynamics). Weight recent comps more heavily.
- !Adjusting for quality differences. Median multiple applies to median business. Quality differences justify adjustments, but should be quantified, not asserted.
- !Public company comps have limited use for SMB. They're directionally useful but the size premium to public companies is enormous — often 40–60%.
- !Private company transaction data is imperfect. Industry databases capture some deals but miss many. Banker-derived market intelligence complements database evidence.
Frequently Asked Questions
What is comparable company analysis in M&A?↓
What's the difference between trading comps and transaction comps?↓
How many companies should be in a peer group?↓
Related Terms
Valuation Multiple
The ratio between enterprise value and a financial metric — typically EBITDA — used to express what a business is worth in comparable terms. The primary language of SMB/LMM M&A pricing.
Precedent Transactions Analysis
A valuation methodology comparing a target business to similar companies acquired in the past — establishing implied valuation multiples from actual completed deal data. One of three primary valuation methods alongside DCF and comparable company analysis. In SMB M&A, precedent transactions data is harder to find (private deals rarely disclose terms) but available through databases like PitchBook, Capital IQ, and Pratt's Stats. Banker experience with recent comparable transactions often drives multiple selection more than database analysis.
Discounted Cash Flow (DCF)
A valuation technique that estimates a business's value by projecting future cash flows and discounting them to present value at a rate reflecting the risk of those cash flows — the theoretical foundation of finance-based valuation.
Acquisition Multiple
The ratio of enterprise value to a financial metric (usually EBITDA) that expresses how much a buyer is paying for each dollar of the business's earnings — the default language of SMB deal pricing.
EBITDA
Earnings Before Interest, Taxes, Depreciation, and Amortization — the most common measure of operating profitability used to value businesses in M&A transactions.
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Disclaimer: The information provided on this page is for educational and informational purposes only. It should not be considered financial, legal, or investment advice. Business valuations depend on many factors specific to each situation. Always consult with qualified professionals — including business brokers, CPAs, and M&A attorneys — before making acquisition or sale decisions. LegacyVector is not a licensed broker, financial advisor, or attorney. Data shown may be based on limited samples and may not reflect current market conditions.
LegacyVector Research Team
Reviewed by M&A professionals · Updated April 2026