Kim Hin Joo (Malaysia) Berhad (0210) Fair Value & Analysis
Consumer Cyclical · MY · Market cap 38.0M MYR
Fair value as of: Jun 26, 2026
Analysis
Kim Hin Joo (Malaysia) Berhad (0210) currently trades at 0.1000 MYR, while our model-based Fair Value estimate is 0.1400 MYR — implying the stock looks roughly 40.0% 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: medium) — always confirm before acting.
About the company
Kim Hin Joo (Malaysia) Berhad engages in the retail of baby, children, and maternity products primarily in Malaysia. It operates in two segments, Retail and Distribution. The company offers baby and children clothing and accessories, as well as maternity clothing; home and travel products, such as feeding and home safety, bathing, nursery and bedroom products, strollers, car seats, and baby carriers; and babies and children toys. The company retails its products through Mothercare outlets, ELC store-in-store (SIS), The Entertainer outlets, Mothercare online store, online sales channels, and baby expos. It also distributes its products to specialty baby and toy stores, departmental stores, hypermarkets, online platforms, pharmacies, traditional Chinese medical halls, and other retailers and distributors. The company was incorporated in 1978 and is based in Seri Kembangan, Malaysia. Kim Hin Joo (Malaysia) Berhad operates as a subsidiary of Kim Hin International Pte Ltd.
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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.