Aditya Infotech Limited (CPPLUS) Fair Value & Analysis
Industrials · IN · Market cap ₹413B
Analysis
Aditya Infotech Limited (CPPLUS) currently trades at ₹3,561, while our model-based Fair Value estimate is ₹655.68 — implying the stock looks roughly 81.6% overvalued today. We read business quality at 97/100 (high quality), in the Industrials 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: high).
About the company
Aditya Infotech Limited manufactures, assembles and trades security and surveillance equipment in India and internationally. The company offers analog cameras, digital video recorders, internet protocol network cameras, network video recorders, biometric products, access control products, mobile surveillance solutions, body-worn cameras, temperature screening solutions, interactive displays, routers, cables, power supplies, and thermal cameras. It also provides temperature screening solutions, explosion-proof cameras, integrated central command and control software, AI/ deep learning-based video analytics solutions, access control, time-attendance solutions, biometric products, video doorbells and video door-phones, HMS, AMS, interactive displays, monitors, SD Cards, as well as other accessories and products including cabling, racks, storage solutions and customized solutions; and products for enterprise and consumer segments under the CP PLUS and Dahua brands. In addition, it offer…
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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.