Dataprep Holdings (8338) Fair Value & Analysis
Technology · MY · Market cap 75.3M MYR
Fair value as of: Jun 26, 2026
Analysis
Dataprep Holdings (8338) currently trades at 0.0800 MYR, while our model-based Fair Value estimate is 0.0400 MYR — implying the stock looks roughly 50.0% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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: low).
About the company
Dataprep Holdings Bhd., an investment holding company, provides information, communication, and technology (ICT) services primarily in Malaysia. The company operates through ICT Related Products and Services, and Payment Solutions and Services segments. It focuses on systems integration, managed services, and consultancy. The company rents electronic data capture equipment; engages in general trading activities; supply, and installation of multimedia goods; hardware, and other multimedia components; maintenance support services; and provision of telecommunication network facilities. In addition, it offers server storage virtualization, cloud computing enablement, ICT security, product lifecycle management, customer premise equipment, ICT outsourcing, multi-vendor support, ICT service management, ICT service desk, data center, network integration, healthcare technology, e-money issuer, telco tower, and transmitter system solutions. Dataprep Holdings Bhd. was incorporated in 1971 and …
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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.