Pansoft Company (300996) Fair Value & Analysis
Technology · CN · Market cap 4.4B CNY
Analysis
Pansoft Company (300996) currently trades at ¥11.58, while our model-based Fair Value estimate is ¥3.74 — implying the stock looks roughly 67.7% overvalued today. We read business quality at 93/100 (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
Pansoft Company Limited provides management information solutions for large enterprises in China. It provides application and platform software; and customized solutions for the needs of information systems, including group control, XBRL data application, platform software, and other areas. The company's field solutions include group financial and fund management system, financial shared service solutions, XBRL series products, group enterprise tax management solutions, general industry human resource management solutions, group asset management system solutions, and production allocation decision system solutions. Its industry solutions cover CIRC's Solvency II Regulatory Information System and Insurance Company Solvency II Reporting System, real estate industry financial sharing service system, human resource management systems for education industry, Sinopec consolidated statement system, Sinopec centralized accounting system, and fund and asset management system, as well as Petr…
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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.