SCC Holdings (0158) Fair Value & Analysis
Consumer Defensive · MY · Market cap 35.3M MYR
Fair value as of: Jun 25, 2026
Analysis
SCC Holdings (0158) currently trades at 0.2300 MYR, while our model-based Fair Value estimate is 0.5000 MYR — implying the stock looks roughly 117.4% undervalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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
SCC Holdings Berhad, an investment holding company, engages in the distribution, marketing, and sale of food service equipment and animal health products in Malaysia. It is involved in the distribution, sale, service, and parts supplies of industrial-grade foodservice equipment and supplies to the food and beverages markets, which are used in restaurants, cafes, fast food chains, cinemas, convenient stores, hypermarkets, and others; and installation, service, and supply of ingredients and specialty products for the food and beverage industries. The company also offers pressure and open fryers, rotisseries, ovens, breading machines, blast chillers, merchandisers, coffee machines, hot water machines, powder mix dispensers, slush machines, iced tea brewers, popcorn machines and warmers, cotton candy machines, waffle bakers, popcorn and waffle mixes, cotton candy and smoothie mixes, trays, garnish centers, condiment servers, napkin dispensers, mitts, bottle holders, blenders, griddles, …
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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.