Finolex Cables Limited (FINCABLES) Fair Value & Analysis
Industrials · IN · Market cap ₹171B
Fair value as of: Jun 29, 2026
Analysis
Finolex Cables Limited (FINCABLES) currently trades at ₹1,117, while our model-based Fair Value estimate is ₹470.87 — implying the stock looks roughly 57.8% 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
Finolex Cables Limited engages in the manufacture and sale of electrical and communication cables, and other electrical appliances in India and internationally. The company operates through Electrical Cables, Communication Cables, Copper Rods, and Others segments. It offers PVC, flame retardant low smoke, halogen free flame retardant insulated industrial, and 3 core flat cables; communication cables, including CCTV, CAT6 LAN, optic fiber, speaker, RG6 coaxial, telephone, and FinoGreen cables; power and control cables; and agricultural, solar, and automotive cables. The company also provides switches, smart switches, accessories, and mounting boxes; and LED spot downlights, LED battens, and Double and Tri color panels, as well as LED floodlights and lens streetlights. In addition, it offers ceiling, table, wall mounted, pedestal, and exhaust fans; switchgear products, such as miniature and residual current circuit breakers, isolators, auto changeover current limiters, molded case cir…
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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.