HeiTech Padu Berhad (5028) Fair Value & Analysis
Technology · MY · Market cap 218M MYR
Fair value as of: Jun 24, 2026
Analysis
HeiTech Padu Berhad (5028) currently trades at 1.29 MYR, while our model-based Fair Value estimate is 2.06 MYR — implying the stock looks roughly 59.7% undervalued today. We read business quality at 95/100 (high quality), in the Technology 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
HeiTech Padu Berhad provides systems integration, data center management, disaster recovery, information technology, and network related services in Malaysia, Australia, and Indonesia. The company operates through Public Sector Group, Private Sector Group, and Investments Group segments. It offers project planning, execution, monitoring, control, and project management office services, as well as change management services, system integration and application development services, such as requirement development, system analysis and design, system development, business process, and system testing services; deployment services that include site/infrastructure readiness and system deployment services, hardware/software installation, testing, and commissioning services, as well as post implementation and application system; helpdesk support services, and user, technical, and management training solution. In addition, the company provides bulk mailing and outsourcing, automotive/insuranc…
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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.