Sinosoft Co (603927) Fair Value & Analysis
Technology · CN · Market cap 12.2B CNY
Analysis
Sinosoft Co (603927) currently trades at ¥14.18, while our model-based Fair Value estimate is ¥8.89 — implying the stock looks roughly 37.3% 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
Sinosoft Co.,Ltd engages in the research and development of computer software, applications, and services in China and internationally. The company offers consulting services and wealth of industry application software products to insurance industry; national public health information platform to health care industry; and professional technical services, securities solutions, design brokerage business, fixed income, prime broke, data warehouse and business intelligence, financial capital management, company collaborative office management, and other businesses to financial sector. It also provides high-quality integrated services to government field; information processing technologies, software products, comprehensive solutions, and value-added services to media sector; information service, flood forecasting and dispatching, wind prevention, drought resistance, consultation, human and material dispatching, and a three-dimensional simulation systems, as well as integrated wiring eng…
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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.