DRC Systems India Limited (DRCSYSTEMS) Fair Value & Analysis
Technology · IN · Market cap ₹2.1B
Fair value as of: Jun 29, 2026
Analysis
DRC Systems India Limited (DRCSYSTEMS) currently trades at ₹14.21, while our model-based Fair Value estimate is ₹30.23 — implying the stock looks roughly 112.7% 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
DRC Systems India Limited, a software development company, engages in the provision of information technology (IT) services, consulting, and business solutions in India, the United Arab Emirates, and internationally. The company offers web development, mobile application development, digital learning / e-learning, digital commerce / e-commerce, content management system, and software testing digital services; digital transformation services, such as application modernization, digital process automation, enterprise resource planning, product and platform engineering, agile consulting, and resource augmentation services; cloud strategy and consulting, cloud migration, cloud orchestration, and cloud infrastructure management services. It also provides artificial intelligence and machine learning, blockchain development; analytics and insights, and AI-powered chatbot and virtual assistants development services, as well as project management tools and blockchain-powered document issuing …
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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.