Insigma Technology Co (600797) Fair Value & Analysis
Technology · CN · Market cap 7.5B CNY
Analysis
Insigma Technology Co (600797) currently trades at ¥7.16, while our model-based Fair Value estimate is ¥2.94 — implying the stock looks roughly 58.9% overvalued today. We read business quality at 87/100 (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: medium).
About the company
Insigma Technology Co., Ltd. operates as an information technology consulting and service company in China. It provides digital social security, health insurance, employment, organization, and assistance for disabled services; smart public security, justice, urban management, fire protection, community, people's livelihood, and life integrated platform; and human resource and credit services. The company also offers computing and network integration, government dedicated cloud, internet resource acceleration, backbone network, and enterprise private cloud services. In addition, it provides industry digital services for fintech, new retails, smart education, energy digitalization, digital space, third party software reviews, smart manufacturing, CUI and intelligent question and answer customer service, business intelligent reports, smart logistics, e-commerce, and smart parks; and digital infrastructure services for smart high speed rail, tunnel, pipeline, airports, and buildings, as…
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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.