0122 (0122) Fair Value & Analysis
Industrials · MY · Market cap 15.6M MYR
Fair value as of: Jun 26, 2026
Analysis
0122 (0122) currently trades at 0.0400 MYR, while our model-based Fair Value estimate is 0.0280 MYR — implying the stock looks roughly 30.0% overvalued today. We read business quality at 92/100 (high quality), in the Industrials 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: low).
About the company
Advance Information Marketing Berhad, an investment holding company, operates as a business process outsourcing solution provider in Malaysia and Indonesia. The company operates through three segments: Managed Customer Loyalty Services, Retail, and Others. It offers Advance Information Marketing System, an enterprise marketing management platform. The company also provides sales and marketing, client relationship management, and outsourced contact center management services. In addition, it offers digital fulfillment services, such as storage, pick and pack, and delivery services, as well as mobile apps and digital loyalty marketing. Further, the company provides outsourced procurement and fulfilment services through local suppliers and mail order programs, including warehousing and distribution services. Additionally, it engages in the retail sale of pharmaceuticals, medical, orthopedic goods, and other food products. Advance Information Marketing Berhad was incorporated in 2004 an…
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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.