Birlasoft Limited (BSOFT) Fair Value & Analysis
Technology · IN · Market cap ₹84.4B
Fair value as of: Jun 29, 2026
Analysis
Birlasoft Limited (BSOFT) currently trades at ₹300.70, while our model-based Fair Value estimate is ₹370.81 — implying the stock looks roughly 23.3% undervalued today. We read business quality at 97/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: high) — always confirm before acting.
About the company
Birlasoft Limited provides software development and global IT consulting services in India, the Americas, Europe, the United Kingdom, and internationally. The company operates through Manufacturing, Banking, Financial Services and Insurance, Energy and Utilities, and Life Sciences segments. It offers digital transformation services, including data analytics, connected products, intelligent automation, cloud, customer experience, blockchain, and generative AI services; and enterprise services, such as customer relationship management, manufacturing execution systems, product lifecycle management, supply chain management, IT transformation, applications management, testing, and environmental, social and governance through Oracle and JD Edwards, SAP, Infor, Microsoft, and PTC, AWS, and google cloud technologies. The company also offers solutions, such as intelliBridge, a one-stop-shop platform for channel partners to provide information on the OEMs/products; intelliOpen, an intelligent…
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How we calculate Fair Value
Each company is valued through a stack of independent intrinsic-value models (DCF variants, residual-income, multiples and more), blended into one family-balanced consensus and weighted by how much trustworthy data backs it. A separate quality layer scores the fundamentals. Every input is real reported data — nothing guessed.
Educational research only · not financial advice · no buy/sell recommendation. Model-based estimates are not certainties; their reliability depends on data quality and assumptions.