Techbond Group (5289) Fair Value & Analysis
Basic Materials · MY · Market cap 209M MYR
Fair value as of: Jun 24, 2026
Analysis
Techbond Group (5289) currently trades at 0.2750 MYR, while our model-based Fair Value estimate is 0.4300 MYR — implying the stock looks roughly 56.4% undervalued today. We read business quality at 95/100 (high quality), in the Basic Materials 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: high) — always confirm before acting.
About the company
Techbond Group Berhad develops, manufactures, and trades in industrial adhesives and sealants in Malaysia, Vietnam, Indonesia, Thailand, China, and internationally. The company offers industrial adhesives, including water-based and hot melt adhesives; and industrial sealants, such as water-based, solvent-based, and modified hybrid sealants. It also provides supporting products and services, including customized industrial adhesives and sealants for original equipment manufacturers, adhesive maintenance products comprising repellents and cleaners, and adhesive blending machines. In addition, the company offers specialty chemicals, such as wood adhesives, formalin, phenolic resins, dry strength resins, microspheres, and specialty resins serving industries that includes aerospace, coating, and wood paneling. Further, it provides adhesives for woodworking, building and construction, automotive, paper and packaging, hygiene and personal care, cigarette, mattress, and bookbinding. The com…
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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.