CITIC Telecom International Holdings (CCTTF) Fair Value & Analysis
Communication Services · US · Market cap $1.2B
Analysis
CITIC Telecom International Holdings (CCTTF) currently trades at $0.3239, while our model-based Fair Value estimate is $0.5400 — implying the stock looks roughly 66.7% undervalued today. We read business quality at 94/100 (high quality), in the Communication Services 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
CITIC Telecom International Holdings Limited, an investment holding company, engages in the provision of international telecommunications services in Hong Kong, China, Macau, Singapore, and internationally. It provides international voice services; SMS services, such as A2P, P2P, and inter operator SMS; mobile value-added services that include mobile roaming signalling, SIMN, prepaid roaming SIM, MVNE, GMVNO, USSD, IPX, and SMS firewall services; datamall; internet; internet of the things; global mobile number smart authentication services; and cross border 5G SD WAN services. The company also offers TrueCONNECT private network solutions, TrustCSI information security services, SmartCLOUD cloud computing solutions, DataHOUSE cloud data center, ICT-MiiND intelligent solutions, internet services, and managed services; cloud exchange solutions; and technology support services. Additionally, it provides CloudSMS, enterprise cloud communication solutions, commercial broadband, corporate …
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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.