3379 (3379) Fair Value & Analysis
Financial Services · MY · Market cap 607M MYR
Fair value as of: Jun 26, 2026
Analysis
3379 (3379) currently trades at 0.8600 MYR, while our model-based Fair Value estimate is 1.72 MYR — implying the stock looks roughly 100.0% undervalued today. We read business quality at 87/100 (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: medium) — always confirm before acting.
About the company
Insas Berhad, an investment holding company, trades in securities in Malaysia, Singapore, and internationally. It operates through Financial Services and Credit and Leasing; Investment Holding and Trading; Technology and IT-related Manufacturing, Trading and Services; Manufacturing and Distribution of Consumer Products and Services, Retail Trading and Car Rental; and Property Investment and Development segments. The company offers management and consultancy; loans; stock broking, corporate finance and advisory, credit and leasing, share registration, nominee agency, and fund management; property development, holding, rental, and management; corporate secretarial; project management; and information technology and software consultancy services. It also provides semiconductors; electronic manufacturing services; chip fabrication and die preparation; optoelectronic and sensor components; optical fiber products; communication, networking, and telecommunication services; electronic compo…
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Frequently asked questions
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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.