Magnum Berhad, an investment holding company, (3859) Fair Value & Analysis
Consumer Cyclical · MY · Market cap 1.9B MYR
Fair value as of: Jun 24, 2026
Analysis
Magnum Berhad, an investment holding company, (3859) currently trades at 1.27 MYR, while our model-based Fair Value estimate is 1.74 MYR — implying the stock looks roughly 37.0% undervalued today. We read business quality at 94/100 (high quality), in the Consumer Cyclical 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
Magnum Berhad, an investment holding company, engages in the gaming business in Malaysia. It operates through two segments, Gaming; and Investment Holdings and Others. The company operates and manages a licensed four-digit numbers forecast betting business and its variation games. Its game portfolio includes 4D Classic, 4D Jackpot, 4D Jackpot Gold, and Magnum Life. The company also provides property management, management, and information technology services. The company was formerly known as Multi-Purpose Holdings Berhad and changed its name to Magnum Berhad in July 2013. Magnum Berhad was founded in 1968 and is based in Kuala Lumpur, Malaysia.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Magnum Berhad, an investment holding company, (3859) undervalued?
What is the fair value of 3859?
What is the quality score of 3859?
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.