Comparable Company Analysis
Valuing a company using trading multiples from publicly listed peer companies.
Comparable company analysis (comps, or trading comps) is a relative valuation methodology that estimates a company's value by applying trading multiples derived from publicly listed peer companies to the subject company's financial metrics. It is one of the three primary valuation methodologies used in investment banking and equity research, alongside discounted cash flow analysis and precedent transaction analysis.
The process involves: identifying a peer group of publicly traded companies with similar business models, industry exposure, size, and growth profiles; gathering their current trading multiples (enterprise value multiples: EV/Revenue, EV/EBITDA, EV/EBIT; equity multiples: P/E, P/Book); applying those multiples to the subject company's financial metrics to derive an implied valuation range.
Common multiples: EV/EBITDA (most common for mid-to-large companies in most industries—removes capital structure effects); EV/Revenue (used for high-growth companies with negative EBITDA, or industries where revenue is the primary value driver like SaaS); P/E (for profitable companies, especially financials); EV/EBITDA-CapEx (for CapEx-intensive businesses where free cash generation differs from EBITDA).
Comps analysis produces a valuation range rather than a point estimate, with the subject company's implied value typically falling within or near the range of peer multiples. A subject company trading at a discount to peers suggests undervaluation or a quality differential; a premium suggests superior growth, margins, or moat strength.
Comps are forward-looking—multiples are typically based on next twelve months (NTM) or current fiscal year estimates. Peer selection is subjective and has a large impact on valuation conclusions, requiring transparent documentation of selection criteria.
FAQs
What multiples are most appropriate for valuing SaaS companies?
SaaS companies are most commonly valued on EV/Revenue multiples (NTM revenue) because many high-growth SaaS companies are intentionally unprofitable while investing aggressively in sales and marketing, making EBITDA-based multiples uninformative or negative. EV/Revenue multiples for SaaS companies reflect growth rate, net revenue retention, gross margins, and rule-of-40 metrics. As SaaS companies mature and approach profitability, EV/EBITDA multiples become more relevant and EV/Revenue multiples compress. EV/ARR (Annual Recurring Revenue) is a variant that focuses on the predictable, recurring revenue component, stripping out one-time professional services revenue.
How do you select comparable companies for a comps analysis?
Comparable company selection starts with identifying companies in the same industry with similar business models, then screening for size (market cap or revenue), geography (same regional markets), growth profile (comparable revenue and EBITDA growth rates), and profitability metrics (gross margin, EBITDA margin). Pure-play companies (primarily in one business) are preferred over conglomerates. When a perfect peer set doesn't exist, analysts use a tiered approach: core peers (closest comparables), expanded peers (similar but less direct competitors), and contextual peers (different business model but same end market). Each selection choice should be defensible—analysts explain peer inclusion/exclusion in disclosure footnotes.
What is the difference between trading comps and precedent transaction comps?
Trading comps (comparable company analysis) uses multiples from publicly traded companies at current market prices—these reflect minority interest values (buying a small stake in a public company with no control). Precedent transaction comps (comparable transactions analysis) uses multiples paid in actual M&A transactions, which typically include a control premium (buyers pay 20–40% above pre-announcement market prices to acquire control). Transaction comps produce higher valuations than trading comps because of the control premium. For M&A advisory, both are presented: trading comps represent the lower bound (stock price plus some premium); transaction comps represent what acquirers have historically paid for control. The difference between the two implies the expected control premium in the transaction.
Related Terms
Financial Modeling
Building quantitative representations of a company's finances to support decision-making and valuation.
Discounted Cash Flow
A valuation method that estimates the present value of a company or investment by discounting projected future cash flows at an appropriate rate.
Merger Model
Financial model assessing the accretion or dilution to acquirer EPS resulting from an acquisition.
Enterprise Value
The total value of a company available to all capital providers — equity holders and debt holders — used as a basis for acquisition pricing and valuation multiples.
