In precedent transactions, what is often used to limit the set?

In precedent transactions, what is often used to limit the set?

• A. Industry growth rate
• B. Date range within the past 1-2 years
• C. Company headquarters
• D. Number of employees

Answer: (B)

When building precedent transactions, the goal is to keep the deals you compare against as relevant as possible to current market conditions. The most common way to narrow the universe is by recency—restricting to deals within the past 1–2 years. This ensures that the valuation multiples reflect today's capital markets, buyer sentiment, and financing terms, which can change a lot over time. Older deals can skew the picture because M&A pricing is sensitive to the prevailing environment. Other filters like headquarters location or number of employees aren’t reliable ways to limit the set because they don’t directly tie to how attractive or similar a deal is in today’s market, and they can exclude deals that are otherwise very comparable. Industry growth rate is more about modeling inputs than selecting which transactions to include; it doesn’t by itself ensure the dataset reflects current conditions.

When building precedent transactions, the goal is to keep the deals you compare against as relevant as possible to current market conditions. The most common way to narrow the universe is by recency—restricting to deals within the past 1–2 years. This ensures that the valuation multiples reflect today's capital markets, buyer sentiment, and financing terms, which can change a lot over time. Older deals can skew the picture because M&A pricing is sensitive to the prevailing environment.

Other filters like headquarters location or number of employees aren’t reliable ways to limit the set because they don’t directly tie to how attractive or similar a deal is in today’s market, and they can exclude deals that are otherwise very comparable. Industry growth rate is more about modeling inputs than selecting which transactions to include; it doesn’t by itself ensure the dataset reflects current conditions.