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Comparables and precedent transactions

Fundamental analysts live in a tension between two valuation approaches. Absolute valuation methods like DCF require you to forecast five to ten years of cash flows with precision—a dangerous and difficult exercise fraught with assumption risk. Relative valuation methods using multiples ask a simpler question: What are similar companies trading for? This reduces your dependence on forecasting far into the future, but it does not eliminate guesswork. The quality of a comparables analysis depends entirely on whether you truly have comparable companies and whether you properly adjust for differences that matter.

This chapter teaches you how to build a peer set that actually compares. Two companies might operate in the same industry yet differ dramatically in growth rate (15 percent versus 5 percent), profitability (25 percent ROIC versus 10 percent), capital structure (debt-to-equity 0.5 versus 2.0), financing costs, and risk. Comparing their P/E multiples without adjusting for these factors is meaningless—you are comparing companies with vastly different financial profiles as if they were identical twins. You will learn how to screen for true peers (similar size, growth rate, profitability, capital structure, and risk profile) and how to normalize multiples so they reflect apples-to-apples comparisons. You will also learn the second type of comparables analysis: transaction comps, where you look at the prices paid for similar companies in recent acquisitions or IPOs. These often reveal what the market is willing to pay for premium assets and control premiums.

Comparables work best as a reality check and a disciplinary mechanism. If your DCF model implies a company is worth 40 times earnings but truly comparable companies trade at 20 times earnings, you have work to do. Either your growth assumptions are too aggressive, your risk assumptions too conservative, or both—or you have buried an error somewhere in your model. Conversely, if a stock trades at eight times earnings and similar high-growth companies trade at 25 times, you may have identified a potential edge—provided you understand why the discount exists and can defend your thesis against the market consensus.

Building a true peer set​

Not all companies in the same industry are comparable. A large, mature utility is not comparable to a small, growth-focused utility. A profitable software company is not comparable to a loss-making SaaS startup. Building a peer set requires thinking carefully about what makes companies truly comparable. Size, profitability, growth rate, capital structure, and business model maturity all matter. This chapter teaches you to identify peers that actually compare.

Transaction comps and control premiums​

When one company acquires another, the price paid often includes a control premium—a premium over market price for the ability to make decisions and integrate the business. Transaction comps show what the market is willing to pay for control. These prices often differ from trading comps (prices of comparable companies that are publicly traded), and the difference itself is informative. This chapter teaches you to use both trading and transaction comparables to triangulate value.

Articles in this chapter​