0150 (0150) Fair Value & Analysis
Financial Services · MY · Market cap 15.4M MYR
Fair value as of: Jun 26, 2026
Analysis
0150 (0150) currently trades at 0.0800 MYR, while our model-based Fair Value estimate is 0.1440 MYR — implying the stock looks roughly 80.0% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services 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: low) — always confirm before acting.
About the company
Fintec Global Berhad, an investment holding company, invests and trades in quoted securities and related activities in Malaysia and the United States. The company operates through Portfolio Investment, Glove Business, and Others segments. It provides management and strategic advisory services; conducts research related activities; offers business networking and funding services to incubatee companies; invests and trades in quoted securities and related activities; offers general loans, micro and corporate financing, and other credit related services; and trades in gloves under the Medela brand. In addition, the company engages in the manufacturing and trading of personal protective healthcare equipment and rubber gloves machinery, as well as leasing of rubber gloves machinery and ancillary equipment. The company was formerly known as Asia Bioenergy Technologies Berhad and changed its name to Fintec Global Berhad in December 2017. Fintec Global Berhad was founded in 2007 is based in …
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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.