0045 (0045) Fair Value & Analysis
Industrials · MY · Market cap 1.3B MYR
Fair value as of: Jun 25, 2026
Analysis
0045 (0045) currently trades at 0.5450 MYR, while our model-based Fair Value estimate is 0.2600 MYR — implying the stock looks roughly 52.3% overvalued today. We read business quality at 90/100 (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
Southern Score Builders Berhad, an investment holding company, provides construction management services for building and infrastructure works in Malaysia. It offers digital engineering advisory, construction advisory, and building information modelling services. The company also engages in the retail sale of construction materials, hardware, paints, and glasses; mechanical and electrical works; and information technology research and development business. In addition, it provides specialized power distribution solutions for data centers, industrial facilities, commercial developments, and other end-user premises; construction and infrastructure services for residential, commercial, and industrial and public projects; and electrical and mechanical solutions. The company serves real estate construction markets, as well as road and drainage, water reticulation works, and the sewerage works markets. The company was incorporated in 2010 and is headquartered in Kuala Lumpur, Malaysia.
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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.