Qtone Education Group (300359) Fair Value & Analysis
Consumer Defensive · CN · Market cap 2.4B CNY
Fair value as of: Jun 24, 2026
Analysis
Qtone Education Group (300359) currently trades at ¥3.78, while our model-based Fair Value estimate is ¥2.52 — implying the stock looks roughly 33.3% overvalued today. We read business quality at 83/100 (high quality), in the Consumer Defensive 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: low).
About the company
Qtone Education Group (Guangdong) Co.,Ltd provides online education services in China. The company offers education integration solutions, including planning and implementation of basic campus networks and data centers, IoT and security monitoring systems, and cloud platforms for school teaching and management; scheme design, equipment configuration, installation and delivery, maintenance plans and implementation; and value-added operation services. It also provides educational management applications comprising campus communication, campus security, teaching management, and academic affairs management; teaching applications; and after-school co-management service platform. In addition, the company offers continuing education services, such as continuing education training for K-12 teachers and technical services. The company was formerly known as Guangdong Qtone Education Co., Ltd. and changed its name to Qtone Education Group (Guangdong) Co.,Ltd in July 2016. Qtone Education Group…
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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.