Comparable Company Selection for Indian Private Companies: A Practitioner's Framework
Selecting appropriate comparable companies is one of the most judgment-intensive aspects of valuation practice. When the subject company is an unlisted Indian private company, the challenge is amplified by limited public information, different capital structures, and the need to justify comparability to stakeholders who may question the selected peers. This article presents a systematic framework for comparable selection that withstands scrutiny.
Starting with the Universe: Where to Look
The initial screening universe for Indian comparable companies should be drawn from multiple sources. BSE and NSE listed companies provide the primary pool, accessible through databases such as CMIE Prowess, Capitaline, and Ace Equity. For sector-specific searches, NIC (National Industrial Classification) codes provide a structured starting point, though practitioners should not rely solely on NIC codes as they can be overly broad or narrowly classified.
Industry association membership lists, trade publications, and the subject company's own competitive landscape as described in its business plans or industry presentations can supplement the database-driven search. For companies with international operations or in globally competitive sectors, extending the universe to include listed peers in relevant international markets may be appropriate.
Stage 1: Industry and Business Model Alignment
The first filter should focus on business model similarity, not just industry classification. A company manufacturing auto components for OEMs is not truly comparable to an auto component company focused on aftermarket sales, even though both carry the same NIC code. Key dimensions to evaluate include the company's position in the value chain, customer concentration and type, revenue model characteristics, and geographic market focus.
Stage 2: Size and Scale Screening
Academic research and practical experience both confirm that size affects valuation multiples. Smaller companies typically trade at lower multiples due to higher risk, lower liquidity, and less diversification. The screening framework should define size parameters, typically accepting companies within 0.25x to 4x of the subject company's revenue as a starting range, with flexibility based on the available universe.
Stage 3: Financial Profile Matching
Beyond size, the financial profile of comparable companies should reasonably match the subject. Key metrics to compare include revenue growth rates (historical 3-5 year CAGR), EBITDA margins and margin trends, capital intensity (capex as a percentage of revenue), return on invested capital, and leverage ratios. Companies with dramatically different financial profiles, even if in the same industry, may not be truly comparable.
Stage 4: Quality Filters
The final screening stage should exclude companies with characteristics that distort multiples: companies undergoing financial distress or restructuring, companies with recent significant M&A activity that distorts reported financials, companies with less than two years of trading history, and companies where substantial related party transactions may affect reported performance.
Documenting the Selection Process
Proper documentation is essential and serves as the foundation for defending the comparable set. The valuation report should disclose the initial universe and the source databases used, each screening criterion and the quantitative thresholds applied, the number of companies surviving each screening stage, specific rationale for any manual inclusions or exclusions, and a summary table showing the final comparable set with key financial metrics.
Adjustments and Normalization
Once the comparable set is finalized, practitioners must normalize the multiples for differences between the comparables and the subject company. Common adjustments include size adjustments using empirical size premium data, growth adjustments when growth rates differ meaningfully, margin adjustments using regression analysis relating multiples to margins, and control premium or minority discount adjustments depending on the interest being valued.
Common Pitfalls to Avoid
Several common mistakes undermine the credibility of comparable analysis. Cherry-picking only companies that support a predetermined conclusion is the most serious. Using stale multiples without adjusting for market conditions as of the valuation date introduces inaccuracy. Applying multiples from a different economic cycle without adjustment can mislead. And failing to explain why certain obvious peers were excluded invites suspicion.
A well-constructed comparable analysis with transparent documentation is one of the most powerful tools in a valuer's arsenal. When executed systematically, it provides an independent market-based reference point that strengthens the overall valuation conclusion.