Khind Holdings (7062) Fair Value & Analysis
Consumer Cyclical · MY · Market cap 55.9M MYR
Fair value as of: Jun 24, 2026
Analysis
Khind Holdings (7062) currently trades at 1.45 MYR, while our model-based Fair Value estimate is 2.69 MYR — implying the stock looks roughly 85.5% undervalued today. We read business quality at 95/100 (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
Khind Holdings Berhad, an investment holding company, engages in the manufacture and sale of electrical home appliances and distribution of industrial electrical products in Malaysia, Singapore, the Middle East, and internationally. The company operates through three segments: Investment Holding, Trading and Services, and Manufacturing. It offers air coolers, air purifiers, and fans; emergency lights, insect killers, and wiring accessories; vacuum cleaners, clothes dryers, irons, washer dryers, washing machines, and water heaters; cooker hoods, cooktops, display chillers, freezers, and refrigerators; and grooming and hair styling tools. The company also provides small kitchen appliances, including steamers, air fryers, blenders, bowl dryers, bread makers, coffee makers, double boilers, electric kettles, electric multi cookers, electric ovens, food processors, gas stoves, induction cookers, instant hot water dispensers, juicers and fruit extractors, kitchen tools, mixers, rice cooker…
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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.