Huize Holding (HUIZ) Fair Value & Analysis
Financial Services · US · Market cap $12.3M
Fair value as of: Jun 26, 2026
Analysis
Huize Holding (HUIZ) currently trades at $1.15, while our model-based Fair Value estimate is $0.8800 — implying the stock looks roughly 23.2% overvalued today. We read business quality at 92/100 (high quality), in the Financial Services 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
Huize Holding Limited, together with its subsidiaries, offers online insurance product and service platforms through various internet channels in Mainland China, Hong Kong, and internationally. The company offers life and health insurance products comprising term and whole life, annuity, critical illness, reimbursement-based, and illness and disease insurance. It also provides property and casualty insurance products consisting of travel, individual casualty, and corporate liability insurance products; commercial property insurance; and cargo insurance, including logistics liability, international freight forwarder liability, and international cargo bill of lading liability insurance. In addition, the company offers offline insurance intermediary services; digital and technology development services; insurance brokerage and agency services; and investment and investment consulting services. Huize Holding Limited was founded in 2006 and is headquartered in Shenzhen, 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.