Fiem Industries Limited (FIEMIND) Fair Value & Analysis
Consumer Cyclical · IN · Market cap ₹58.7B
Fair value as of: Jun 29, 2026
Analysis
Fiem Industries Limited (FIEMIND) currently trades at ₹2,229, while our model-based Fair Value estimate is ₹1,886 — implying the stock looks roughly 15.4% overvalued today. We read business quality at 97/100 (high quality), in the Consumer Cyclical 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
Fiem Industries Limited manufactures and supplies automotive lighting and signaling equipment, rear view mirrors, prismatic mirror, plastic moulded parts, bank angle sensor, canister, and sheet metal components for motorized vehicles in India and internationally. The company operates through Automotive and Others segments. It offers LED and conventional head, tail, blinker, fog lamps, warning triangles, and interior lamps. In addition, the company manufactures and supplies plastic finished parts for two-wheelers, including front and rear fenders, floor panels, side covers, handlebars, seat bases, and others; and sheet metal parts, canisters, bank angle sensors, moulds, etc., as well as front and rear mudguards for motorcycles and mopeds. Further, it offers LED luminaries comprising of indoor and outdoor lighting, display panels, and integrated passengers information system. The company serves original equipment manufacturers. Fiem Industries Limited was incorporated in 1989 and is h…
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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.