Define control premium and write the formula. Against which share price should it be measured, and why?

What the interviewer is actually testing

Precedent transactions questions test whether you understand why this methodology exists as something distinct from trading comps, not just whether you can compute a multiple.

1. Can you articulate what "control" actually buys, and why it commands a premium? A weak candidate says "precedent transactions use M&A deal multiples instead of trading multiples." A strong candidate leads with the control premium concept: an acquirer buying 100% gets to redirect capital allocation, replace management, and capture synergies (value a passive minority shareholder can't access), and that's precisely why acquisition prices run above undisturbed trading prices.

2. Do you know the single most important comparative fact: precedents run higher than trading comps, and why? This is almost always asked directly or indirectly ("would you expect precedent multiples to be higher or lower than trading comps for the same company, and why?"). The strong answer is immediate and unhedged: higher, because of the embedded control premium, and ideally the candidate adds the synergy point: a strategic buyer's willingness to pay can reflect synergies not present in the target's standalone financials.

3. Can you reason about time-decay and deal-specific noise? The advanced layer probes whether a candidate understands that precedent transactions are frozen snapshots of past market conditions (credit availability, competitive intensity, sector sentiment) that may not apply today, and that deal-specific factors (a competitive auction vs. a negotiated deal, a strategic vs. a financial buyer, a distressed sale) meaningfully affect where a given deal's multiple sits: a candidate who treats all "M&A deals in the sector" as interchangeable data points hasn't internalized this.

Signals of mastery: naming control premium mechanics and typical ranges (roughly 20-40%) without prompting; distinguishing strategic vs. financial buyer pricing logic; flagging that older deals may reflect stale market conditions; noting that precedents generally set the higher end of a football field range versus trading comps. Red flags: describing precedents as "just another comp set with different data," being unable to explain why the multiple would be higher than trading comps, or failing to mention synergies when discussing strategic acquirer pricing.

Common traps

Trap 1: Not knowing that precedent multiples should be higher than trading comp multiples. This is the single most testable fact in the topic, and missing it signals a surface-level understanding. The control premium is embedded in every acquisition price; it is not embedded in a trading price.

Say it out loud: "Precedent transaction multiples are almost always higher than trading comp multiples for similar companies, because the deal price embeds a control premium: the extra value an acquirer pays for the ability to control the business, capture synergies, and redirect its cash flows."

Trap 2: Measuring the control premium against the wrong share price. Using the share price the day before the deal signs, rather than the price before rumors or speculation about a deal began circulating, understates the true premium: the stock may have already run up on leaks or speculation.

Say it out loud: "I'd measure the control premium against the undisturbed price (before any market rumors or speculation about a deal), not the price right before signing, which may already reflect anticipation of the announcement."

Trap 3: Ignoring that the buyer type changes what the multiple means. A strategic buyer's price can reflect synergies the target's standalone EBITDA doesn't capture, while a financial sponsor's price is generally disciplined by standalone cash flow generation and achievable leverage. Treating every precedent deal as equally representative of "standalone value" conflates these two very different pricing logics.

Say it out loud: "I'd distinguish strategic buyer deals, which can reflect synergies not present in the target's standalone financials, from financial sponsor deals, which are typically more disciplined around standalone cash flow and achievable leverage."

Trap 4: Using stale deals without adjusting for market conditions. A deal done at the peak of a credit boom (cheap, abundant leverage inflating what sponsors could pay) or the trough of a credit crunch reflects financing conditions that may not exist today. Blending a 2007 deal with a 2023 deal without comment ignores that the underlying market backdrop was completely different.

Say it out loud: "I'd weight recent deals more heavily and flag any transaction done in an unusually hot or cold financing environment, since precedent multiples reflect the credit and market conditions at that specific point in time."

Trap 5: Failing to normalize target financials for one-time items. Just as with trading comps, a target's reported LTM EBITDA in the year of a deal can be distorted by one-time charges or gains, and skipping normalization corrupts the implied multiple exactly the same way it would in a comps analysis.

Say it out loud: "I'd normalize the target's LTM EBITDA for one-time items at the time of the deal, the same way I would for a trading comp, since an unadjusted figure would distort the implied multiple."

Trap 6: Treating a hostile or distressed deal as a normal data point. A hostile takeover can close at an unusually high premium due to a competitive bidding war, while a distressed sale (a company selling under financial duress) can close at a discount to what a healthy company would fetch. Blending these into a "typical" precedent range without flagging the special circumstances misrepresents the data.

Say it out loud: "I'd flag deals with unusual circumstances (a competitive bidding war, a hostile takeover, or a distressed sale) separately, since those premiums or discounts reflect special situations rather than a 'typical' control transaction.