Amber Enterprises India Limited (AMBER) Fair Value & Analysis
Consumer Cyclical · IN · Market cap ₹269B
Fair value as of: Jun 29, 2026
Analysis
Amber Enterprises India Limited (AMBER) currently trades at ₹7,659, while our model-based Fair Value estimate is ₹1,108 — implying the stock looks roughly 85.5% overvalued today. We read business quality at 82/100 (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: medium).
About the company
Amber Enterprises India Limited provides room air conditioner solutions in India. It designs and manufactures a range of room air conditioners (RACs), including window air conditioners, indoor units, and outdoor units of split air conditioners; and inverter RACs. The company also offers functional components of RACs, such as heat exchangers, motors, and multi-flow condensers; and other RAC components comprise sheet metal components, copper tubing, plastic extrusion, vacuum forming, and injection molding components. In addition, it manufactures components for other consumer durables and automobiles, such as case liners for refrigerators and plastic extrusion sheets; sheet metal components for microwaves; and washing machine tub assemblies, as well as extrusion components for the automobile and metal ceiling industries. Further, the company provides mobile air conditioners for railways, metro trains, buses, defense, and other establishments. It also exports its products. Amber Enterpr…
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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.