WACC Derivation for Indian Private Companies — Beta Estimation, Size Premium, and Country Risk in Practice

The Weighted Average Cost of Capital is the single most influential parameter in a discounted cash flow valuation. A one percentage point change in the WACC applied to a stable business generating Rs 100 crore of annual free cash flow with a 5% terminal growth rate changes the concluded enterprise value by approximately Rs 150-200 crore. For larger businesses — Mumbai’s mid-cap and large-cap private companies, major NBFCs, and institutional real estate portfolios — the financial stakes of a poorly derived WACC are enormous. Yet in Indian valuation practice, the WACC derivation is frequently the weakest analytical section of an otherwise competent valuation report, with beta values selected without a documented peer selection process, size premiums applied or omitted without empirical justification, and country risk adjustments borrowed from global databases without adaptation to the Indian market context.

The cost of equity is the most complex component of WACC, and it is derived using the Capital Asset Pricing Model or a build-up method for private companies. Under CAPM, the cost of equity equals the risk-free rate plus the product of the equity beta and the equity risk premium. Each of these inputs requires careful derivation in the Indian context. The risk-free rate for Indian rupee-denominated valuations is typically taken as the yield on 10-year Government of India securities, adjusted if necessary for a default spread embedded in the government yield. As of early 2026, the benchmark 10-year G-Sec yield was in the range of 6.7-6.9%, and the valuer must use the rate prevailing as of the valuation date — not a historical average — because it reflects current market assessments of the time value of money.

WACC Derivation for Indian Private Companies — Where Most Valuation Reports Get It Wrong

The equity beta for a listed Indian company is directly observable from stock market data. For private companies, the beta must be estimated by identifying a set of comparable listed companies — operating in the same industry, with similar business models, financial profiles, and risk characteristics — and deriving an industry beta from their observed betas. The process requires unlevering each comparable’s observed equity beta to remove the effect of its specific capital structure (using the Hamada equation or the Harris-Pringle formula depending on the assumption about debt beta), arriving at an unlevered or asset beta that reflects only the business risk of the underlying operations, and then relevering the median or average unlevered beta using the subject company’s own capital structure to produce the equity beta applicable to the private company. Each step in this process requires judgment — in the selection of comparables, in the treatment of negative or extreme beta values, in the choice of levering formula, and in the selection of the subject company’s target capital structure.

The equity risk premium — the expected excess return of equities over the risk-free rate — for India requires a judgement between two approaches. The survey-based approach uses analyst and investor surveys to estimate the forward-looking ERP. The historical approach uses realised equity market returns over a long historical period. Damodaran’s annual update of India ERP estimates — widely used as a reference in Indian valuation practice — derives an implied ERP from the current level of the BSE Sensex or Nifty, the consensus analyst forecast of index earnings, and the risk-free rate, producing a forward-looking ERP that as of early 2026 was approximately 7.5-8.5% for India. This implied ERP is higher than mature market ERPs (typically 4.5-5.5% for the United States) because it incorporates the additional risk premium that investors demand for Indian market uncertainty, regulatory risk, and liquidity constraints.

The size premium captures the empirically observed phenomenon that smaller companies — which are less liquid, have less diversified revenue streams, face higher costs of capital, and have less access to external financing — require higher returns than large companies with equivalent business risk. In the United States, Duff & Phelps (now Kroll) publishes an annual Size Premium study that quantifies the additional return required by decile of market capitalisation. For Indian private companies, direct Indian size premium data is not available in the same systematic form, but the Kroll US size premium data provides a methodological framework — and a starting point for professional judgment about the appropriate Indian size premium, which must be calibrated to Indian market conditions including the relative cost of capital for Indian small-cap listed companies versus their US equivalents, the Indian bank credit market as an alternative capital source, and the specific characteristics of the subject company relative to its Indian peers.

The country risk premium — applied when using a build-up method that starts from a US or global risk-free rate — compensates investors for the additional political, regulatory, macroeconomic, and institutional risks of investing in India relative to a developed market benchmark. For INR-denominated valuations where the Indian G-Sec yield is used directly as the risk-free rate, a separate country risk premium is generally not added — it is already embedded in the higher Indian risk-free rate relative to the US Treasury rate. For USD-denominated valuations — relevant when the valuation is for a cross-border transaction or when the company’s revenues are dollar-denominated — the country risk premium must be explicitly added, and the Damodaran CRP methodology (derived from the CDS spread on Indian sovereign debt, adjusted for the relative volatility of the equity market versus the bond market) is the most widely accepted reference. As of early 2026, India’s CRP on the Damodaran framework was approximately 1.1-1.3%, reflecting India’s improving sovereign credit position but persistent political and institutional risk differentials relative to developed markets.

The size premium in WACC derivation is perhaps the least discussed but most frequently misapplied element of cost of equity estimation for Indian private companies. The original empirical research behind size premiums — primarily Duff & Phelps’s analysis of US equity market returns disaggregated by size decile — establishes that smaller companies earn higher returns than larger companies after adjusting for beta, suggesting that size itself carries an additional risk premium beyond systematic market risk. The practical challenge is that this premium was estimated from US data, for US companies, and the direct application of US size premiums to Indian private companies requires bridging several conceptual and empirical gaps.

The most significant gap is the difference in the cost and availability of capital for small companies in India versus the US. Indian small and medium enterprises often have access to formal capital markets only through bank credit, which is itself constrained by collateral availability and credit bureau scoring. The cost of equity for these businesses — what they would need to offer equity investors in an arm’s-length transaction — reflects not just systematic market risk and size risk but also a substantial liquidity premium and an information asymmetry premium. When constructing WACC for Indian private SMEs and mid-market companies, valuers who apply only the Duff & Phelps US size premium may be underestimating the total additional return required by equity investors, particularly for companies with limited operating history, concentrated customer bases, or businesses in sectors with limited listed peer comparables.

The build-up method — which constructs the cost of equity from a risk-free rate plus equity risk premium plus size premium plus company-specific risk premium — provides a more transparent framework for this analysis than CAPM for private companies. The company-specific risk premium is explicitly a catch-all for idiosyncratic risks not captured in the beta and size premium components: key person dependence, customer concentration, technology obsolescence risk, regulatory dependence, and other factors that make the subject company more or less risky than the average small company in its sector. For Mumbai-based valuers advising on private company DCF valuations across a range of sectors — from real estate to financial services to manufacturing — developing a consistent, documented framework for the company-specific risk premium is one of the highest-value analytical investments a practice can make, because it is the component of WACC that is simultaneously most important to the concluded value and most often either ignored or applied inconsistently.

CA Harshul Mangal (IBBI Registered Valuer, Reg. No. IBBI/RV/16/2025/16044) applies the WACC derivation framework described in this post to every DCF-based valuation engagement at Harshul Mangal & Associates — ensuring that the discount rate is as rigorously derived as the cash flows it discounts, and that the complete analytical basis is documented in the valuation report.

For further reading on the regulatory framework governing this area, refer to the IBBI Registered Valuation Standards, which provides the primary regulatory foundation for the analysis discussed here.

Our valuation services cover the full range of SFA assignments described in this post — from regulatory compliance to transaction support. If you need professional valuation assistance, we would be pleased to assist. You can reach out to us here or write to harshulmangal.ca@gmail.com.