Solar District Cooling Group (0321) Fair Value & Analysis
Industrials · MY · Market cap 288M MYR
Fair value as of: Jun 24, 2026
Analysis
Solar District Cooling Group (0321) currently trades at 0.6900 MYR, while our model-based Fair Value estimate is 0.1800 MYR — implying the stock looks roughly 73.9% overvalued today. We read business quality at 95/100 (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: high).
About the company
Solar District Cooling Group Berhad, through its subsidiaries, engages in the provision and maintenance of building management systems (BMS), solar thermal systems, other systems and equipment, and energy saving services in Malaysia, Singapore, and Brunei. It is involved in the systems integration of building facilities to optimize automation, energy savings, and centralized management including the integration of central air conditioning, electrical systems, lighting, elevators and escalators, plumbing, fire alarms, communications, process utilities, and security access. The company also provides installation and maintenance of solar thermal hot water; maintenance of cooling systems; and retrofitting fluorescent lighting with LED lighting. In addition, it offers maintenance services for other systems and equipment, including gas fired chillers and chilled water systems; and project management services, as well as undertakes mechanical and electrical works. The company was founded i…
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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.