Yoong Onn Corporation (5159) Fair Value & Analysis
Consumer Cyclical · MY · Market cap 240M MYR
Fair value as of: Jun 25, 2026
Analysis
Yoong Onn Corporation (5159) currently trades at 1.50 MYR, while our model-based Fair Value estimate is 2.98 MYR — implying the stock looks roughly 98.7% undervalued today. We read business quality at 94/100 (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
Yoong Onn Corporation Berhad, an investment holding company, designs, manufactures, distributes, trades, and retails home linen, bedding accessories, and homewares in Malaysia. The company operates through Manufacturing, Distribution and Trading, and Retailing segments. It offers bed and bath linen products; bed, bath, living room, and kitchen accessories; rugs, carpets, and floor mats; and lifestyle furniture and other homeware products, as well as engages in property rental business. The company markets its products under the brand names, such as Diana, Novelle, Jean Perry, Louis Casa, Genova, Red Danielle, Cotonsoft, Niki Cains, Oasis, Ann Taylor, Sarah Miller, Tencel, etc. It serves third party retailers, such as departmental stores, hypermarkets, supermarkets, and specialty stores; institutions, including hotels, resorts, hostels, hospitals, royal customs and military accommodations, and cruise ships; intermediaries, such as distributors and importers; and social commerce and e…
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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.