AppAsia Berhad, an investment holding company, (0119) Fair Value & Analysis
Technology · MY · Market cap 151M MYR
Fair value as of: Jun 26, 2026
Analysis
AppAsia Berhad, an investment holding company, (0119) currently trades at 0.1150 MYR, while our model-based Fair Value estimate is 0.0300 MYR — implying the stock looks roughly 73.9% 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: medium).
About the company
AppAsia Berhad, an investment holding company, engages in the e-commerce business in Malaysia and the United States. It operates through Digital Solutions, E-Commerce Business, Financial Services, and Others segments. The company involved in the research, development, and sale of IT security technology products; and provision of system maintenance, professional IT security, training, and other IT products and solutions. It also provides information technology infrastructure; application systems and computer software, including system support and maintenance; system integration, project coordination, management, implementation, consultation, training, seminars, exhibition, and agency; trade to utilize technologies related to internet, e-commerce, e-business, and blockchain for online investment, marketing, trading, and advertising; consultants and advisors to organize and conduct courses and seminars; and trainings for persons, firms, corporations, businesses, and industries. In addi…
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is AppAsia Berhad, an investment holding company, (0119) undervalued?
What is the fair value of 0119?
What is the quality score of 0119?
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.