SFP Tech Holdings (0251) Fair Value & Analysis
Industrials · MY · Market cap 720M MYR
Fair value as of: Jun 24, 2026
Analysis
SFP Tech Holdings (0251) currently trades at 0.2600 MYR, while our model-based Fair Value estimate is 0.0500 MYR — implying the stock looks roughly 80.8% overvalued today. We read business quality at 95/100 (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: high).
About the company
SFP Tech Holdings Berhad, an investment holding company, designs, develops, and manufactures factory and automated equipment solutions in Malaysia, the United States, Vietnam, Singapore, the People's Republic of China, and internationally. The company operates through Manufacturing and Automation segments. The company provides touchless mechanical assembly, auto dispensing, auto label applicator, auto fastening, auto soldering system, hard disk automation machines, laser marking machine, and vision inspection system. It also offers automation and engineering services, including automation conceptual design, engineering and development, assembly, test and commissioning, and on-site installation and support services; and automation customization and solutions, such as robotic handling, glass wafer separation, tools cut, vacuum chamber, smart humidity storage, assembly, and testing systems. In addition, the company provides computer numerical control (CNC) machining and tooling service…
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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.