JinXianDai Information Industry Co (300830) Fair Value & Analysis
Technology · CN · Market cap 4.1B CNY
Analysis
JinXianDai Information Industry Co (300830) currently trades at ¥8.87, while our model-based Fair Value estimate is ¥8.79 — implying the stock looks roughly 0.9% 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: medium).
About the company
JinXianDai Information Industry Co.,Ltd. provides industry digital solutions for power, rail transit, and petrochemical companies in China. The company operates low-code development, the knowledge graph visualization development, the document intelligent processing, and fusion integration platform. It also offers software, hardware, project management engineer, database application, and business etiquette training, as well as designs, develops, and sells computer software, instruments and meters, hardware, auxiliary, network, electronic instruments, and office automation equipment; and design and construction of computer network engineering. In addition, the company provides software development; information system integration; information technology consulting; data processing and storage; and other unspecified information technology services. Further, it is involved in the technical development, technical consulting and exchanges, technical services, technology transfer and promot…
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.