Compucom Software Limited (COMPUSOFT) Fair Value & Analysis
Consumer Defensive · IN · Market cap ₹1.1B
Fair value as of: Jun 29, 2026
Analysis
Compucom Software Limited (COMPUSOFT) currently trades at ₹13.31, while our model-based Fair Value estimate is ₹6.18 — implying the stock looks roughly 53.6% overvalued today. We read business quality at 97/100 (high quality), in the Consumer Defensive sector. Bear case: priced above our estimate, the market already discounts strong expectations. Bull case: above-average quality can justify a premium — the entry price still matters most (evidence: medium).
About the company
Compucom Software Limited, together with its subsidiary, CSL Infomedia Private Limited, operates as a software and education company in India and the United States. It operates through Software Development, Wind Power Generation, Learning Solutions, Hotel and Other segments. The company offers IT services, such as enterprise application development/management, customer relationship management, business process management, supply chain management, customized learning solutions, and mobile solutions, as well as grievance redressal systems. It also provides ICT-enabled education services for computer education, computer literacy, and computer-aided learning projects in government schools; skilling and placement activities; CompuLMS, a cloud-based learning management solution that unifies virtual classroom, social, and e-commerce capabilities; and satellite centers for e-learning, as well as undertakes e-governance projects. In addition, the company operates wind power generation plants…
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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.