0261 (0261) Fair Value & Analysis
Industrials · MY · Market cap 71.8M MYR
Fair value as of: Jun 24, 2026
Analysis
0261 (0261) currently trades at 0.2750 MYR, while our model-based Fair Value estimate is 0.1900 MYR — implying the stock looks roughly 30.9% 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
Cosmos Technology International Berhad, an investment holding company, distributes industrial automation and control instrumentation in Malaysia and the United States. Its products include process instrumentations, EM meter, insertion and ultrasonic smart water meter, WinCC OA, PLC, LX SCADA/RTU, noise and data logger, PRV, advance pressure monitoring systems (APMS) and energy saving solution. The company is also involved in the servicing of fluid control products; and provision of hardware, customized software and digital solutions, as well as engineering design and consultancy service. In addition, it offers process control and water management digitization. The company serves water and wastewater industries. Cosmos Technology International Berhad was incorporated in 2019 and is headquartered in Seri Kembangan, Malaysia.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is 0261 (0261) undervalued?
What is the fair value of 0261?
What is the quality score of 0261?
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.