Shanghai Amarsoft Information & Technology Co (300380) Fair Value & Analysis
Technology · CN · Market cap 4.3B CNY
Analysis
Shanghai Amarsoft Information & Technology Co (300380) currently trades at ¥33.63, while our model-based Fair Value estimate is ¥5.77 — implying the stock looks roughly 82.8% 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
Shanghai Amarsoft Information & Technology Co.,Ltd engages in business consulting, IT system implementation, and content services in China. The company offers a personal loan, credit risk management, and small business credit management system; user behavior analysis platform; a collateral management, quota management, and portfolio risk limit management system; financial analysis system, owner rating system, and AmarRWA; and loan accountinig, supply chain finance management, and asset securitization management system. It also provides credit inquiry, enterprise credit reporting, a personal credit reporting system; a risk data mart and risk warning system; and a factoring cloud and microfinance business management system cloud service. In addition, the company offers IT and financial, banking, automotive finance, AI big data and credit, FINC ASET MGT, small loan, and supply chain solutions. The company was founded in 2001 and is headquartered in Shanghai, China.
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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.