PT ITSEC Asia Tbk (CYBR) Fair Value & Analysis
Technology · ID · Market cap 7.2T IDR
Analysis
PT ITSEC Asia Tbk (CYBR) currently trades at 660.00 IDR, while our model-based Fair Value estimate is 133.55 IDR — implying the stock looks roughly 79.8% 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: high).
About the company
PT ITSEC Asia Tbk provides cybersecurity solutions and services in Indonesia, Singapore, and Australia. It operates through Professional Security Services, Managed Security Services, and Cybersecurity Training segments. The company offers information security process manager; managed security service software solutions; and IT education services. It also provides penetration testing and red teaming; audit, risk assurance, and compliance; managed security; security solution integration; V-CISO; threat hunting and compromise assessment; information security analysis; OT/ICS cybersecurity; application security; digital forensics and incident response; and cloud security services. In addition, it offers IntelliBron, a software solution against cyber-attacks. Further, it provides fraud management, DevSecOps, security operations center, and personal data protection solutions. The company serves financial, telecommunications, energy, transportation, manufacturing, and other industries. PT …
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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.