EC Excel Holdings (5192) Fair Value & Analysis
Basic Materials · MY · Market cap 189M MYR
Fair value as of: Jun 24, 2026
Analysis
EC Excel Holdings (5192) currently trades at 0.8500 MYR, while our model-based Fair Value estimate is 0.4800 MYR — implying the stock looks roughly 43.5% overvalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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: high).
About the company
EC Excel Holdings Berhad, an investment holding company, engages in the manufacture and processing of secondary stainless steel and other metal related products in Malaysia, the Republic of Singapore, Australia, the Republic of Indonesia, and Brunei. It operates through Stainless Steel and Metal Related Products; Marine Hardware and Consumable; Other Industrial Hardware; and Engineering and Project Works segments. The company manufactures stainless steel tubes and pipes, as well as processes stainless steel flat products. It also trades in stainless steel long and flat products, and other metal related products; marine hardware and consumables; a variety of consumables; and various industrial hardware products. In addition, the company offers engineering works, fabricates and installs rubber glove dipping lines; hires motor vehicles; and operates as a dealer for industrial products, cables, belts, and hardware. Further, it engages in the supply, fabrication, and installation of alum…
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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.