Adnex Group (0396) Fair Value & Analysis
Industrials · MY · Market cap 155M MYR
Fair value as of: Jun 24, 2026
Analysis
Adnex Group (0396) currently trades at 0.3800 MYR, while our model-based Fair Value estimate is 0.2300 MYR — implying the stock looks roughly 39.5% overvalued today. We read business quality at 84/100 (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: medium).
About the company
Adnex Group Berhad, through its subsidiaries, provides interior fit-out services for commercial and industrial properties in Malaysia, The Philippines, Australia, Indonesia, New Zealand, and Singapore. The company offers interior fit-out and turnkey fit-out services for corporate offices, F&B outlets, and sales galleries. Its services include design, planning, and coordination services, such as overseeing, managing and coordinating the design concepts, space planning and layout plan designs, selection of materials, finishes, furnishings and fixtures; project planning and scheduling services, such as developing project timeline; engagement and appointment of professionals including identifying and engaging relevant professionals, including M&E consultant engineer, civil and structural consultant engineer and architect; cost management services, such as monitoring budgets and expenditure or preparation of estimated overall fit-out costs; Procurement including sourcing and procurement …
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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.