Alicon Castalloy Limited (ALICON) Fair Value & Analysis
Industrials · IN · Market cap ₹10.4B
Fair value as of: Jun 29, 2026
Analysis
Alicon Castalloy Limited (ALICON) currently trades at ₹645.05, while our model-based Fair Value estimate is ₹442.67 — implying the stock looks roughly 31.4% 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
Alicon Castalloy Limited, together with its subsidiaries, manufactures and sells aluminium castings in India. It offers 2 and 4-wheelers, fully finished, diesel, and petrol cylinder heads; transcradle, inlet pipe, cac tank, battery tray, motor stator, top yoke/bridge fork top, enclosure body, inverter casing, cooling/junction box, transmission and crank cases, e-axle, and HCV coolant collector products, as well as controller, compressor, motor, distributor, and roof sensor housing parts. The company also exports its products to approximately 18 countries. It serves automotive and e-mobility industries; and non-automotive industry, such as internal combustion engine, infrastructure, defence, medical, energy, agriculture, and aerospace. The company was formerly known as Enkei Castalloy Limited and changed its name to Alicon Castalloy Limited in December 2010. Alicon Castalloy Limited was incorporated in 1990 and is based in Pune, India.
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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.