Hengbao Co (002104) Fair Value & Analysis
Industrials · CN · Market cap 8.2B CNY
Analysis
Hengbao Co (002104) currently trades at ¥11.46, while our model-based Fair Value estimate is ¥1.66 — implying the stock looks roughly 85.5% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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
Hengbao Co.,Ltd. engages in the financial technology, Internet of Things, digital security and digital services in China and internationally. The company offers card payment and security services; blockchain finance, digital asset wallet, and supply chain financial platform; mobile communications and the internet of things, including sim, esim, and M2M card. It also provides smart password key, electronic token, Bluetooth USBKEY, mobile smart terminal mobile phone shield, and other products; and tax security products, such as tax control disk, transmission disks, tax control Ukey, and PSAM cards. In addition, the company offers bluetooth secure reading and writing terminal, mPOS, mobile POS, and face recognition payment terminal; and one card cloud and mobile payment platform services. Further, it serves its products to financial industry, communications industry, mobile payment cloud platform, automotive, and composite material solutions. Hengbao Co.,Ltd. was founded in 1996 and is…
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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.