Excel Force MSC Berhad, (0065) Fair Value & Analysis
Technology · MY · Market cap 104M MYR
Fair value as of: Jun 26, 2026
Analysis
Excel Force MSC Berhad, (0065) currently trades at 0.1550 MYR, while our model-based Fair Value estimate is 0.1700 MYR — implying the stock looks roughly 9.7% undervalued today. We read business quality at 92/100 (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: high) — always confirm before acting.
About the company
Excel Force MSC Berhad, together with its subsidiaries, develops, provides, and maintains software application solutions for the financial services industry in Malaysia. The company operates in four segments: Application Solutions, Maintenance Services, Application Services Provider, and Other segments. Its product portfolio includes CyberBroker Front Office for client-server, web, and mobile-based stock trading systems; CyberBroker Middle Office; CyberBroker Back Office, including custodian and nominee systems; StockBanking System comprising share margin financing systems; and fundamental analysis systems. The company also offers eForce One, a web trading platform that operates as an electronic client ordering system; Mobile Trade 3.5G, a mobile trading system; eForce Interactive X-Chart, a charting tool; eForce EmPower, a back-office system; and Cyberstock, a dealer and remisier system. In addition, it provides investment advisory services. Excel Force MSC Berhad was founded in 19…
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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.