How to Build a Comparable Company Analysis
Executive Summary
Key Takeaways
- ✓ Peer selection criteria should be based on genuine comparability — business model, growth, margin, and risk profile — not merely shared industry classification.
- ✓ Every peer's multiple must be calculated on a consistent basis, using the same enterprise value or equity value definition and the same metric definition, across the entire set.
- ✓ Calendarizing every peer to a common fiscal period is required before multiples can be meaningfully compared or averaged.
- ✓ Outliers should be identified and either explained or excluded, with the treatment disclosed rather than silently applied.
- ✓ The final multiple range should be applied using a defensible summary statistic (typically median, or a stated range), not an unexplained single point selected from within the range.
Institutional Definition¶
A comparable company analysis is built by selecting a defensible peer set of publicly traded companies, spreading each peer's financials to calculate its trading multiples on a common, calendarized basis, screening for and handling outliers, and applying the resulting multiple range to the subject company's own metrics. This guide walks through the build in order, alongside the structural checks that confirm consistency across the entire peer set.
Step 1: Define Peer Selection Criteria¶
The peer set should be assembled around genuine business comparability, not merely shared industry classification:
- Business model — similar products or services, similar customer base, similar route to market
- Growth profile — broadly comparable revenue and earnings growth trajectory
- Margin structure — broadly comparable profitability, since margin differences often signal a different underlying business model even within the same industry
- Risk profile — comparable capital intensity, cyclicality, and leverage, since capital structure and operating risk both affect the appropriate multiple
Document the specific criteria used to include or exclude each candidate peer. A peer set assembled purely by industry classification code, without regard to these characteristics, is one of the most common structural weaknesses in a comparable company analysis.
Step 2: Spread Each Peer's Financials¶
For each selected peer, gather the inputs required to calculate its relevant multiples: market capitalization, net debt (to build enterprise value), and the financial metrics (EBITDA, revenue, EBIT, net income) the chosen multiples will be divided by. Source each figure consistently — from the same type of filing (e.g., most recent annual report and most recent interim filing) and using a consistent definition of each metric (e.g., adjusted versus reported EBITDA) across every peer in the set.
Step 3: Calendarize to a Common Fiscal Period¶
Peers frequently report on different fiscal year-ends. Before multiples can be meaningfully compared, each peer's financial metrics should be calendarized onto a common period — typically the subject company's own fiscal year-end — commonly by taking a weighted blend of the peer's two most recently reported fiscal years, or by using trailing-twelve-month figures where available. Skipping calendarization and comparing multiples calculated on materially different underlying periods is a frequent source of a distorted multiple range, particularly for businesses with seasonal or cyclical earnings.
Step 4: Calculate Each Peer's Multiple¶
Calculate the chosen multiple(s) — commonly EV/EBITDA and EV/Revenue — for every peer on a consistent basis:
EV/EBITDA = Enterprise Value / Calendarized EBITDA
EV/Revenue = Enterprise Value / Calendarized Revenue
Confirm the enterprise value calculation itself is consistent across peers (same net debt definition, same treatment of minority interests and preferred stock), since an inconsistency at this stage propagates directly into a distorted multiple.
Step 5: Identify and Handle Outliers¶
Review the resulting multiples across the peer set for values that diverge materially from the rest of the group. For each outlier, investigate the cause — a one-off event distorting the metric, a genuinely different growth or risk profile, or a data or classification error — before deciding whether to exclude the peer or retain it with an explanation. The exclusion criteria and any excluded peers should be disclosed, not silently dropped from the presented set.
Step 6: Apply the Multiple Range¶
Summarize the screened peer set's multiples using a defensible statistic — typically the median, which is less sensitive to any remaining outliers than the mean, or a stated range (e.g., 25th to 75th percentile). Apply the resulting multiple (or range) to the subject company's own calendarized metric to arrive at an implied enterprise value, then bridge to equity value and per-share value using the same enterprise-to-equity bridge conventions used elsewhere in the model.
Structural Audit Checks¶
| Check | What It Confirms |
|---|---|
| Peer selection criteria documented | The peer set reflects genuine comparability, not an arbitrary or undisclosed selection |
| Enterprise value calculated consistently across peers | Net debt, minority interest, and preferred stock definitions are applied uniformly |
| Calendarization applied to every peer | Multiples are compared on a like-for-like time basis |
| Outlier treatment disclosed | Any excluded or specially treated peer is documented, not silently dropped |
| Summary statistic (median or range) disclosed | The applied multiple is traceable and reproducible, not an unexplained single point |
| Multiple basis matched correctly to the subject company's own metric | EV-based multiples applied to enterprise-level metrics, equity-based multiples applied to equity-level metrics |
Common Errors¶
| Error | Description | Risk |
|---|---|---|
| Inconsistent calendarization | Peers' financial metrics drawn from different, non-aligned fiscal periods | Multiples are not genuinely comparable across the peer set |
| Outlier peers not excluded or explained | A peer with a distorted multiple left in the set with no disclosed treatment | Skews the resulting multiple range |
| Mixing multiples on different bases | An EV-based multiple applied to an equity-basis metric without the correct adjustment | Produces a structurally incorrect implied value |
| Undisclosed summary statistic selection | A single point applied from within the range without stating whether it is the mean, median, or another basis | The applied multiple cannot be independently reproduced or audited |
Continue Reading¶
Prerequisites¶
- Valuation Methodologies — the parent pillar
- Comparable Company Analysis
Related Glossary¶
Related Technical Guides¶
How OXXON tests thisRun a free structural check with FMAE
Frequently Asked Questions
What is the first step in building a comparable company analysis?
Defining defensible peer selection criteria — business model, end markets, growth profile, margin structure, and risk (including capital intensity and leverage) — rather than starting from a list of companies that merely share an industry classification code.
How many peers should be included in a comparable company analysis?
There is no fixed rule, but a set that is too small (fewer than roughly five to six peers) is vulnerable to being skewed by a single outlier, while a set that is too broad risks including companies that are not genuinely comparable. The set should be as large as genuine comparability allows.
What does calendarizing a peer mean?
Adjusting a peer's reported financial metrics onto a common fiscal period — typically the subject company's fiscal year-end — using a weighted blend of the peer's two most recently reported fiscal years (or trailing twelve months), so that multiples across the peer set are compared on a like-for-like time basis.
How should an outlier peer be handled?
First investigated to understand why its multiple diverges from the rest of the set (a one-off event, a different growth trajectory, a data or classification error), then either excluded with the reason disclosed, or retained with an explanation of why its multiple is still considered representative.
Should the mean or median multiple be used to apply the range?
Median is generally preferred over mean, since it is less sensitive to a small number of outlier peers that may remain in the set after screening. The choice, and the resulting range, should be disclosed rather than presented as a single unexplained point estimate.
What is the last step after calculating the peer multiple range?
Applying the resulting multiple (or range) to the subject company's own corresponding financial metric to arrive at an implied enterprise or equity value, then bridging to a per-share value where relevant, consistent with the enterprise-to-equity bridge used elsewhere in the model.
Related Articles
Comparable Company Analysis
Comparable company analysis, commonly called "trading comps," values a business by applying valuation multiples — most commonly EV/EBITDA, EV/Revenue, and P/E — observed in the current trading prices of similar, publicly traded peer companies to the subject company's own financial metrics. It is a relative valuation method: rather than deriving value from the subject company's own forecast cash flows, as DCF does, it derives value from how the market is currently pricing genuinely comparable businesses. Trading comps reflect a minority, marketable basis of value, since the observed prices are for freely traded, non-controlling shares, not for control of the company.
Precedent Transactions Analysis
Building a precedent transaction analysis requires screening a population of historical M&A deals down to a genuinely comparable set, calculating each deal's transaction multiple on a consistent basis, and adjusting where necessary for disclosed synergies or deal-specific circumstances that would not transfer to the subject transaction. This guide walks through the full build in order — deal screening by timing relevance, deal size, and buyer type; transaction multiple calculation; and adjustment for deal-specific dynamics — along with the structural checks that confirm the resulting multiple range is defensible and reproducible.
Enterprise Value (EV)
Enterprise value (EV) is the total value of a company's core operating business, independent of its capital structure — it represents what the business as a whole is worth to all capital providers combined, before distinguishing between debt and equity claims. Enterprise value is the direct output of discounting unlevered free cash flow (FCFF) at WACC. To move from enterprise value to the value attributable to equity holders specifically, net debt, minority interests, and other non-operating adjustments must be deducted — the enterprise-to-equity bridge.
Football Field Chart
A football field chart is a graphical summary that presents the output of several valuation methodologies side by side as horizontal bars, each spanning a low-to-high range along a common value axis. Typical inputs include a discounted cash flow valuation range, comparable company trading multiples, precedent transaction multiples, and the 52-week trading range for a listed target. The chart is named for its resemblance to the yard markings on an American football field. Its purpose is to communicate a defensible valuation range rather than a false-precision single number, and to show where independent methodologies converge or diverge.