Finding deal comps, control premium adjustments, and when precedents beat trading multiples.
Trading comps tell you what the market pays for a minority slice of a public company on any given Tuesday. Precedent transactions tell you what an acquirer actually paid to own the entire business — control, synergies, and all. That distinction is not trivial. On average, M&A acquirers pay a control premium of 25–40% above the unaffected share price. In contested auctions or strategically important deals, premia above 50% are not unusual.
The other key difference is buyer type. A strategic acquirer (e.g., Salesforce buying Slack) prices in revenue and cost synergies it can extract post-close — synergies a financial buyer cannot capture. This drives strategic deal multiples materially higher than financial buyer (PE) multiples for the same asset. When you are advising on an M&A transaction or preparing a fairness opinion, precedents are generally a better benchmark than trading comps because they reflect the same type of transaction you are contemplating.
Trading comps = minority, liquid, no-control value. Precedent transactions = control value, including synergy expectations and acquisition financing costs. You cannot apply a trading comp multiple to an M&A bid and call it rigorous — you are missing at minimum 25–40% of the story.
The most common sources are Bloomberg (MA <GO>), S&P Capital IQ, Refinitiv, and PitchBook. For public targets, SEC EDGAR 8-K filings and proxy statements (DEF 14A) contain the actual fairness opinion with full transaction multiples — those are primary source data, not derived estimates.
A defensible comp set typically screens on all of the following:
In software, you will often find fewer than 10 truly comparable closed deals in the past 3 years. Do not pad your comp set to hit an arbitrary number. Five tight comps beat fifteen loose ones. Be prepared to defend every inclusion and exclusion.
Once you have identified your deal set, you spread each transaction: pull LTM financials as of the announcement date, calculate deal enterprise value (equity consideration plus assumed net debt), and compute the relevant multiples. For software, EV/Revenue and EV/EBITDA are standard. EV/EBITDA is often not applicable for pre-profitability SaaS, where EV/Revenue or EV/ARR is used instead.
| Deal (Acquirer / Target) | Year | LTM Rev ($M) | LTM EBITDA ($M) | Deal EV ($M) | EV / Rev | EV / EBITDA | Control Premium |
|---|---|---|---|---|---|---|---|
| Thoma Bravo / Sailpoint | 2022 | 397 | 54 | 6,900 | 17.4x | — | 31% |
| Vista / Cvent | 2023 | 561 | 112 | 4,600 | 8.2x | 41.1x | 28% |
| Synopsys / Ansys | 2024 | 2,066 | 742 | 35,000 | 16.9x | 47.2x | 34% |
| Francisco Partners / New Relic | 2023 | 934 | 147 | 6,500 | 7.0x | 44.2x | 38% |
| Broadcom / VMware | 2023 | 13,164 | 4,703 | 61,000 | 4.6x | 13.0x | 42% |
| Clearlake / Alteryx | 2024 | 865 | 143 | 4,400 | 5.1x | 30.8x | 29% |
| 25th Percentile | 5.6x | 15.2x | 29% | ||||
| Median | 8.6x | 42.7x | 34% | ||||
| 75th Percentile | 17.1x | 45.7x | 40% |
Note: EBITDA multiples excluded where target was pre-profitability or EBITDA was negative. EV/EBITDA for Broadcom/VMware reflects normalized EBITDA. Control premium measured vs. unaffected 30-day VWAP prior to announcement.
Trading comps give you a minority, marketable value — what a passive investor pays for a single share with no ability to direct the company. That is a minority discount. Precedent transactions embed a control premium: the incremental amount an acquirer pays to gain control, direct strategy, realize synergies, and extract full value.
When you use trading comps to benchmark an M&A bid, you need to explicitly adjust upward for control. The standard formula is:
Suppose the target's stock trades at $40.00 (the unaffected price, measured 30 days before any rumor or announcement). Based on your precedent transactions, the median control premium is 35%. The implied offer price is:
If your trading comp analysis suggested a standalone intrinsic value of $42–$47 per share, the $54.00 offer (28% above trading comp midpoint) is fully consistent — the gap is almost entirely explained by the control premium. This is the analytical bridge you need to articulate in a fairness opinion or a bid recommendation memo.
Always use the unaffected share price — the price before any public disclosure or leak of a potential transaction. If you use a price that already reflects deal rumors (often +10–15% from speculation), you are understating the true control premium and making the deal look cheaper than it is.
For trading comps, you typically spread both LTM and NTM multiples — NTM is often preferred because it reflects forward-looking earnings power, which is what public market investors are pricing.
For precedent transactions, you almost always use LTM only. The reason is straightforward: when a deal closes, NTM projections for the acquired company are not publicly available. The acquirer has proprietary management projections, but the public only sees LTM actuals in the proxy. Consensus NTM estimates are available for public targets, but they were made before the deal was announced and may not reflect the same information set. LTM keeps your analysis grounded in observable, audited data that any counterparty can verify.
Some proxy statements include a management case financial forecast as part of the fairness opinion disclosure. When this is available, bankers will run a PV of projected synergies analysis on top of precedents — but the base precedent multiple is still anchored to LTM.
Now apply the precedent transaction multiples to your target company. Assume the target has LTM EBITDA of $800M. Using the 25th–75th percentile range of EV/EBITDA from the deal set above (14.0x–19.0x, trimming the Synopsys outlier for size):
| Statistic | EV / EBITDA Multiple | LTM EBITDA ($M) | Implied EV ($M) | Implied EV ($B) |
|---|---|---|---|---|
| 25th Percentile | 14.0x | 800 | 11,200 | $11.2B |
| Median | 16.5x | 800 | 13,200 | $13.2B |
| 75th Percentile | 19.0x | 800 | 15,200 | $15.2B |
| Precedent Range | 14.0x – 19.0x | 800 | 11,200 – 15,200 | $11.2B – $15.2B |
To get from implied EV to implied equity value per share, subtract net debt (assume $1.5B) and divide by diluted shares outstanding (assume 200M shares):
The implied offer range of $48.50–$68.50 per share would be one bar in a football field presentation comparing multiple valuation methodologies.
| Context | Use Precedent Transactions | Use Trading Comps |
|---|---|---|
| Advising a seller in an M&A process | Primary | Secondary (floor) |
| Fairness opinion for a board | Required | Required |
| Strategic acquirer valuing a target | Primary | Cross-check |
| Pricing a minority stake or secondary | Not applicable | Primary |
| IPO pricing | Not applicable | Primary |
| Standalone intrinsic value analysis | Not applicable | Primary + DCF |
If asked "which methodology gives a higher valuation — precedents or trading comps?" the answer is almost always precedents, because they embed a control premium. The follow-up is: "by how much?" — and you should be able to say 25–40% on average, higher in competitive auctions.
Precedents reflect acquisition prices paid for full control of a business. They include a control premium (typically 25–40% above unaffected trading price) that compensates the target shareholders for giving up control and reflects synergies the acquirer expects to realize. Trading comps reflect minority, liquid market prices — no control, no synergies, no acquisition financing overhang.
Screen for: same GICS sub-industry, deal size within 0.5x–2x of the subject (by revenue), transactions in the last 3–5 years, and closed deals only. Then qualitatively assess: Is the business model comparable? Did the deal involve strategic vs. financial buyers? Were there unusual circumstances (distress, hostile bid, regulatory issues) that make the multiple non-representative? Exclude outliers with clear explanations, and document your rationale.
It depends on the target's EBITDA margin. If the target had a 5% EBITDA margin — common for growth-stage SaaS — then the EBITDA base is tiny and the multiple is almost meaningless. In that case, EV/Revenue is far more informative. Additionally, check whether the EBITDA is GAAP or adjusted (stock comp is often excluded for software). A 42x on adjusted EBITDA strips out stock comp and other charges — the GAAP multiple would be considerably higher or undefined.