Aurora Mobile Limited (JG) Fair Value & Analysis
Technology · US · Market cap $24.4M
Fair value as of: Jun 24, 2026
Analysis
Aurora Mobile Limited (JG) currently trades at $4.63, while our model-based Fair Value estimate is $1.36 — implying the stock looks roughly 70.6% overvalued today. We read business quality at 83/100 (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
Aurora Mobile Limited, through its subsidiaries, provides a range of developer services and vertical applications in China. The company provides push notification, instant messaging, analytics, sharing and short message service, one-click verification, and other services. It also offers real-time market intelligence solutions, such as product iApp, which provides analysis and statistical results on the usage and trends of mobile apps to investment funds and corporations. In addition, the company provides financial risk management solutions to assist financial institutions, licensed lenders, and credit card companies in making informed lending and credit decisions. Further, it offers application programming interfaces that create connectivity and automate the process of message exchange between the mobile apps and its backend network; an interactive web-based service dashboard that allows app developers to utilize and monitor its services through controls on an ongoing basis; and val…
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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.