Sourcing and Screening Precedent Transactions

Introduction

Finding the right set of precedent transactions is both a research exercise and a judgment call. Unlike trading comps, where the peer group consists of currently traded public companies that can be identified through industry classifications, precedent transactions must be discovered by searching M&A databases for historical deals that meet specific criteria. The quality of the analysis depends entirely on the quality of the sourcing: include irrelevant deals and the benchmarks are meaningless; exclude relevant ones and the analysis is incomplete.

Investment banks rely on several M&A databases, each with different strengths:

In addition to databases, analysts use SEC filings (merger proxies, 8-K deal announcements, tender offer documents) as primary sources for detailed deal terms and target financials. Press releases, investor presentations, and equity research reports from the time of the deal announcement provide supplementary context.

Merger Proxy (DEF 14A / DEFM14A)

A filing required by the SEC when a public company's shareholders must vote on a proposed merger or acquisition. The merger proxy contains detailed information about the transaction, including the background of the deal (how it originated, who approached whom, what alternatives were considered), the financial analysis performed by the company's advisor, the fairness opinion, and the deal terms. For precedent transaction analysis, merger proxies are the richest source of information about the target's financials and the deal's pricing rationale.

Primary Filters

The initial database search uses broad filters to identify a candidate universe, which is then refined through judgment:

Industry: The most important filter. Narrow to the target's specific sub-sector rather than using broad industry categories. Searching for "all technology M&A" will produce thousands of irrelevant results. Searching for "cybersecurity software acquisitions" or "specialty pharma M&A" produces a focused starting set.

Size: Filter by transaction enterprise value or target revenue. A $2 billion target should be compared to transactions in the $500 million to $5 billion range, not to $100 million bolt-on acquisitions or $50 billion mega-mergers. Size affects multiples because larger deals often carry lower premiums (the absolute dollar amounts are already significant) while smaller deals may reflect different buyer dynamics.

Time period: Focus on the past 3-5 years for the core set. Older transactions reflect different market conditions, interest rates, and regulatory environments. However, landmark deals from earlier periods can be included as reference points if they are particularly relevant (for example, the defining deal in a sector).

Geography: Match the target's primary market. US targets should be compared primarily to US transactions. Cross-border deals can be included if they involve targets with similar operating characteristics, but the analyst should note the geographic difference.

Secondary Filters

After the primary filters reduce the universe to a manageable set (typically 15-30 candidate transactions), the analyst applies secondary judgment:

Change of Control Transaction

An M&A transaction where the acquirer obtains majority or full ownership of the target, gaining the ability to control corporate strategy, management, and capital allocation. In precedent transaction analysis, change-of-control deals are the standard inclusion because their pricing reflects the control premium that is central to the methodology's value. Minority investments (where the buyer acquires less than 50%), recapitalizations, and asset-only purchases do not carry control premiums and are excluded from the core set. The definition matters because some databases include minority stake purchases in their M&A data, and failing to filter them out dilutes the precedent multiples with non-comparable pricing.

- Data completeness: Confirm that sufficient financial data is available to calculate meaningful multiples. Transactions where the target's EBITDA is undisclosed may need to be excluded from the multiples analysis (though they can still be referenced for premium data if the offer price and stock price are known).

This is the central tension in precedent transaction analysis. More transactions provide more data points and more robust statistics, but including less comparable deals dilutes the analysis with noise.

The Quality-Quantity Tradeoff

Most investment banking precedent transaction analyses include 5-10 transactions in the core set. This provides enough data points for meaningful median and percentile calculations while maintaining comparability. If the sub-sector is very active, more deals may be available. If it is niche, fewer truly comparable transactions may exist.

The final output is typically organized chronologically (most recent first) or by transaction multiple (highest to lowest). Each transaction entry includes:

This structured output becomes the precedent transactions table in the pitchbook, analogous to the comps table for trading comps.

Chronological ordering (most recent first) is the most common format because it allows the reader to see the most relevant deals at the top and observe how multiples have trended over time. When the table is included in a pitchbook, the analyst often highlights the 2-3 most directly comparable transactions (bolding or shading the rows) so that the managing director can immediately focus on the most relevant data points rather than parsing the full set. A brief annotation column describing why each deal is comparable (e.g., "closest business model match" or "same buyer type as current process") transforms the table from raw data into an analytical tool that tells a story about where the current deal should price.