Force Motors Limited (FORCEMOT) Fair Value & Analysis
Consumer Cyclical · IN · Market cap ₹242B
Fair value as of: Jun 29, 2026
Analysis
Force Motors Limited (FORCEMOT) currently trades at ₹18,391, while our model-based Fair Value estimate is ₹14,139 — implying the stock looks roughly 23.1% 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
Force Motors Limited, an integrated automobile company, designs, develops, manufactures, and sells a range of automotive components, aggregates, and vehicles in India. The company provides passenger vehicles, ambulances, school buses, and delivery van; small commercial, light commercial, multi utility vehicles, special vehicles, and spare parts; special utility vehicles, which include off-roaders/recreation vehicles and military vehicles; and agricultural tractors. Its product portfolio consists of urbania, a ground-up modular monocoque van platform for shared urban mobility; traveller, a platform that caters to passenger transport, cargo delivery, ambulances, and school buses; monobus; trax, a rugged utility vehicle platform for rural and last mile transport; special application vehicles; gurkha off-road vehicle; and electric vehicles. In addition, the company offers shared mobility solutions, commercial fleets, specialized transport, and defense solutions. It exports its products …
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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.