Zhibao Technology Inc (ZBAO) Fair Value & Analysis
Financial Services · US · Market cap $15.7M
Fair value as of: Jun 26, 2026
Analysis
Zhibao Technology Inc (ZBAO) currently trades at $0.5140, while our model-based Fair Value estimate is $0.9082 — implying the stock looks roughly 76.7% undervalued today. We read business quality at 95/100 (high quality), in the Financial Services sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
Zhibao Technology Inc., through its subsidiaries, provides digital insurance brokerage services in the People's Republic of China. The company also offers managing general underwriter services. In addition, it provides insurance product design and customization, selection of insurance companies, technology system interconnection and delivery, customer AARRR (Acquisition, Activation, Retention, Referral, and Revenue) operation, customer service, compliance management, and data analysis. Further, the company operates a digital insurance brokerage platform that offers a portfolio of 2B2C (to-business-to-customer) insurance tools for building the systems required for various insurance solutions. Additionally, it engages in research and development; offline insurance brokerage consulting; and healthcare services. The company serves the travel, outdoor activity, sports, logistics and supply chain, municipal gas and electricity utilities, and e-commerce industries. Zhibao Technology Inc. w…
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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.