Privasia Technology Berhad, an investment holding company, (0123) Fair Value & Analysis
Technology · MY · Market cap 50.7M MYR
Fair value as of: Jun 26, 2026
Analysis
Privasia Technology Berhad, an investment holding company, (0123) currently trades at 0.0750 MYR, while our model-based Fair Value estimate is 0.1388 MYR — implying the stock looks roughly 85.0% 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
Privasia Technology Berhad, an investment holding company, provides information technology (IT), information and communications technology (ICT), and satellite-based network services (SAT) in Malaysia. The IT segment offers IT infrastructure outsourcing, consultancy, and systems integration and procurement management services. The ICT segment provides wireless broadband infrastructure, mobile and wireless communications consultancy, and systems development services for ICT and mobile solutions providers and enterprises. The SAT segment offers a broad spectrum of satellite-based network solutions, such as managed network, high speed internet, value-added broadband applications, and satellite IP virtual private network for the commercial sector and general public. The company provides outsourcing, consultation, e-procurement, and related services; trades in electronic and telecommunication equipment; develops, promotes, and operates general cargo terminal operating system for general …
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Privasia Technology Berhad, an investment holding company, (0123) undervalued?
What is the fair value of 0123?
What is the quality score of 0123?
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.