MMAG Holdings (0034) Fair Value & Analysis
Technology · MY · Market cap 58.0M MYR
Fair value as of: Jun 26, 2026
Analysis
MMAG Holdings (0034) currently trades at 0.0250 MYR, while our model-based Fair Value estimate is 0.0270 MYR — implying the stock looks roughly 8.1% 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
MMAG Holdings Berhad, an investment holding company, provides information technology products in Malaysia, Singapore, Hong Kong, Vietnam, India, Myanmar, and internationally. The company operates through Mobile & Fulfilments, Courier and Logistic Services, and Air Freight segments. The Mobile & Fulfilments segment is involved in mobile operators' 3PL and 4PL contracts, fulfilment business, and physical and online sale of smart devices. The Courier and logistic services segment provides express or last mile delivery services, warehousing, customised solutions, freight forwarding, and customs clearance services. The Air freight segment provides air freight, cargo handling, and warehousing services. The company distributes telecommunication products, services, accessories, and devices and other multimedia hardware and software, as well as information technology products. In addition, the company provides electronic commerce services; airline charter flight; various aviation facilities,…
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is MMAG Holdings (0034) undervalued?
What is the fair value of 0034?
What is the quality score of 0034?
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.