Precedent Transactions

Comparable company analysis tells you what the market pays for similar businesses trading on an exchange. Precedent transaction analysis asks a related but distinct question: what have real buyers actually paid to acquire similar companies outright? It is a relative valuation method built not on stock prices but on the prices struck in past mergers and acquisitions.

The idea

When one company buys another, the deal is done at a specific price, which implies a valuation multiple. Precedent transaction analysis collects a set of comparable past acquisitions, calculates the multiples that were paid, and applies them to the company you are valuing. The premise is that what acquirers were willing to pay for similar businesses in the past is a useful guide to what your target might fetch in an acquisition today.

The control premium

Here is the most important difference from trading comps. Acquirers almost always pay more than the current market price to take control of a company, an amount called the control premium. Owning a whole business outright, with the power to direct it, is worth more than owning a minority stake at the market price. Because of this premium, multiples from precedent transactions are usually higher than the multiples from comparable companies trading in the market. That makes precedent transactions especially relevant when the question is what someone would pay to buy the entire company, not what a single share is worth in the open market.

Trading comps tell you what a share costs. Precedent transactions tell you what the whole company costs, control premium included.

When it is most useful

Precedent transaction analysis comes into its own in mergers and acquisitions settings, such as advising a company that is thinking about selling itself, evaluating a takeover offer, or estimating what an acquirer might bid. For an investor trying to judge whether a company could be an attractive acquisition target, the multiples paid in recent comparable deals are valuable evidence that ordinary trading prices do not capture.

The limitations

• Past deals reflect the market conditions, interest rates, and competition of their time, which may differ sharply from today.
• Every transaction has unique features, like the buyer's strategic motives, expected synergies, and how many bidders competed, all of which affect the price and are hard to disentangle.
• Good comparable transactions can be scarce, and the available data may be old or incomplete, weakening the comparison.
• Because deal data is backward-looking and situation-specific, precedent transactions are best used as one input among several, not a standalone verdict.

You now have two market-based methods and a DCF. Next we look at a focused version of the DCF built specifically for dividend-paying stocks: the dividend discount model.