Daythree Digital Berhad, (0281) Fair Value & Analysis
Technology · MY · Market cap 80.0M MYR
Fair value as of: Jun 26, 2026
Analysis
Daythree Digital Berhad, (0281) currently trades at 0.1050 MYR, while our model-based Fair Value estimate is 0.1500 MYR — implying the stock looks roughly 42.9% undervalued today. We read business quality at 95/100 (high quality), in the Technology sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Daythree Digital Berhad, together with its subsidiaries, operates as a business process management company in Malaysia. The company offers customer experience management, back office and transactional processing, business intelligence, helpdesk and technical support, robotic process automation, customer relationship management, customer retention management, revenue generation, contact center and cloud PBX-as-a-Service, social media and content moderation services, and receivables management. It also provides FAITH, an employee engagement web-based application that streamlines scheduling, payroll, communication, and performance feedback; Daisy, an AI associate assistant tool; and SAIGE, an integrated data analytics and reporting platform. In addition, the company engages in rendering business process, information technology, and knowledge process outsourcing services. Daythree Digital Berhad was founded in 2016 and is headquartered in Shah Alam, 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.