Shenzhen Kingdom Sci-Tech Co (600446) Fair Value & Analysis
Technology · CN · Market cap 10.9B CNY
Analysis
Shenzhen Kingdom Sci-Tech Co (600446) currently trades at ¥11.83, while our model-based Fair Value estimate is ¥7.10 — implying the stock looks roughly 40.0% overvalued today. We read business quality at 92/100 (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
Shenzhen Kingdom Sci-Tech Co., Ltd engages in financial technology business in China. The company offers securities business integrated service platform, margin trading and securities lending solutions, stock option solutions, publicly offered securities settlement solution, science and technology innovation growth solution, securities lending and borrowing integrated service platform, and QFII investment and trading solutions; and wealth management solutions, such as off-site counter, full commission management, investment advisory trading, asset allocation, product management, institutional wealth management, and wealth account solutions. It also provides integrated operations, institutional operation, business monitoring, and Jin Hutong overall solutions, as well as real time risk control solutions for transactions; various services comprising overall solutions for information technology innovation, new brokerage, domestic cryptographic modification, securities firm mergers and a…
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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.