Silver Ridge Holdings (0129) Fair Value & Analysis
Technology · MY · Market cap 163M MYR
Fair value as of: Jun 24, 2026
Analysis
Silver Ridge Holdings (0129) currently trades at 0.3650 MYR, while our model-based Fair Value estimate is 0.1200 MYR — implying the stock looks roughly 67.1% overvalued today. We read business quality at 95/100 (high quality), in the Technology 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
Silver Ridge Holdings Bhd., an investment holding company, provides telecommunication infrastructure installation, testing, and management services in Malaysia and India. It operates through five segments: Telecommunications Solutions; Sub-construction; Trading; Investment Holdings; and Others. The company engages in the creation, commission, marketing, and distribution of digitalized mobile contents; and provision of telecommunication services and network facility, and management of telecommunication towers. It offers network solutions, such as network security and devices, network monitoring systems, load balancing, private automated branch exchange and unified communications, endpoint and server protection, and wide area network optimization services; connected solutions, including advanced meter infrastructure smart meters, telephone call accounting and auditing package data analytics solution; closed-circuit television and video management systems; eLearning solutions; Smart Ho…
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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.