Frontken Corporation (0128) Fair Value & Analysis
Industrials · MY · Market cap 7.9B MYR
Analysis
Frontken Corporation (0128) currently trades at 4.90 MYR, while our model-based Fair Value estimate is 1.96 MYR — implying the stock looks roughly 60.0% overvalued today. We read business quality at 89/100 (high quality), in the Industrials 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: medium).
About the company
Frontken Corporation Berhad, an investment holding company, provides surface treatment, and mechanical and chemical engineering works in Malaysia, Singapore, the Philippines, Taiwan, and Indonesia. The company offers precision cleaning and surface treatment of vacuum processes equipment parts in the semiconductors and TFT industries; decontamination of newly manufactured parts and routine maintenance, and kit management of semiconductor manufacturing components; Surface treatment services, which include thermal spray coatings, arc spray coatings, precision anodization , and precision texturing and polishing; protection, lifetime extension, performance and efficiency improvements via advance surface treatment technology, such as cold build up treatment, plating, plating and conversion coating, and specialized plasma transferred arc welding; equipment maintenance and overhaul, mechanical fitting and assembly, dynamic balancing, heat treatment, on site machining, metal stitching, and l…
Open the full interactive analysis →
Similar stocks
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.