Bharat Gears Limited (BHARATGEAR) Fair Value & Analysis
Consumer Cyclical · IN · Market cap ₹2.0B
Fair value as of: Jun 29, 2026
Analysis
Bharat Gears Limited (BHARATGEAR) currently trades at ₹131.22, while our model-based Fair Value estimate is ₹216.71 — implying the stock looks roughly 65.2% undervalued today. We read business quality at 97/100 (high quality), in the Consumer Cyclical 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
Bharat Gears Limited manufactures and supplies automotive gear in India, the United States, Mexico, Spain, and internationally. The company offers gear products, such as ring gears, pinions, transmission gears, shafts, differential gears, and bevel gears; automotive components, including automotive clutch assemblies and components, turbochargers and related parts, driveline products, axle shafts, flywheel assemblies and rings, propeller shaft components, U-J Cross, steering components, differential cages, steel wheel rims, turbocharger core and rotor, ST. Bevel, ceramic button, and break lining; heat-treating furnaces; and precision machined components, shafts, fasteners, gears, castings, and forgings. It also provides single/multi-row pusher carburisng furnaces, rotary hearth furnaces, other heat-treating equipment and systems, and capabilities; and other heat-treating equipment and systems, such as conveyor mesh belt furnace lines, rotary retort furnaces, pusher furnaces for gener…
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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.