Infoline Tec Group (0253) Fair Value & Analysis
Technology · MY · Market cap 134M MYR
Fair value as of: Jun 25, 2026
Analysis
Infoline Tec Group (0253) currently trades at 0.3600 MYR, while our model-based Fair Value estimate is 0.7900 MYR — implying the stock looks roughly 119.4% undervalued today. We read business quality at 92/100 (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
Infoline Tec Group Berhad, an investment holding company, provides information technology (IT) infrastructure and cybersecurity solutions, and managed IT and other IT services. It offers data center solutions, which include designing and installation of structured cabling systems; installation of racks and panels for servers; installation of UPS; and implementation of supporting tools and solutions to manage the data centers. The company also provides software-defined networking solutions that automate, manage, and program a LAN and/or storage infrastructure; software-defined wide area network (WAN), a virtual WAN architecture that allows enterprises to leverage on WAN connectivity; and hyperconverged infrastructure, a system that combines various elements of a traditional data center, including storage, computing, and network management. In addition, it offers cloud computing solutions; enterprise communication, and system and network infrastructure solutions; network security, end…
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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.