Jianzhi Education Technology Group (JZ) Fair Value & Analysis
Technology · US · Market cap $241K
Fair value as of: Jun 26, 2026
Analysis
Jianzhi Education Technology Group (JZ) currently trades at $0.1390, while our model-based Fair Value estimate is $0.1738 — implying the stock looks roughly 25.0% undervalued today. We read business quality at 87/100 (high quality), in the Technology 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
Jianzhi Education Technology Group Company Limited, together with its subsidiaries, develops and provides educational content products and IT services to higher education institutions in the People's Republic of China. The company designs and develops customized IT system services, as well as provides sentu desktop virtualization software that manages virtual desktops and deploys them to local client devices; and Sentu Online Learning Software, which customizes the software for clients according to their specific needs. It offers procurement and assembling services for equipment; and technological support and maintenance services, and other services. In addition, the company provides mobile media services, including mobile media advertising and application content data business system services. Jianzhi Education Technology Group Company Limited was founded in 2011 and is based in Beijing, the People's Republic of 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.