AsiaInfo Technologies Limited (ASNFF) Fair Value & Analysis
Technology · US · Market cap $1.2B
Analysis
AsiaInfo Technologies Limited (ASNFF) currently trades at $1.25, while our model-based Fair Value estimate is $0.9100 — implying the stock looks roughly 27.2% overvalued today. We read business quality at 94/100 (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
AsiaInfo Technologies Limited, an investment holding company, offers telecom software products and related services in the People's Republic of China. Its software product portfolio includes AISWare, data intelligence, Billing, BigData, Customer Relationship Management, Customer service, E-channel, intelligent highway integrated operation, Network management, AiDO, intelligent operation, data management, Internet of Things, business platform, data exchange and sharing, large-screen display, and data asset management. The company also offers deployment services, including demand analysis, project design and planning, software development and sourcing, system installation and launch, and trial operation and acceptance services; and operation and maintenance services. In addition, it provides data-driven operation, business consulting, system integration, and corporate training services; and network security related software products and services, as well as procures and sells third-pa…
Open the full interactive analysis →
Similar stocks
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.