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Cloud Live Technology Group (002306) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 1.9B CNY

Price¥2.00
Fair Value¥0.3500
Upside-82.5%
Quality84/100
Evidence: Low Range ¥0.2600 – ¥0.4400

Fair value as of: Jun 25, 2026

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Analysis

Cloud Live Technology Group (002306) currently trades at ¥2.00, while our model-based Fair Value estimate is ¥0.3500 — implying the stock looks roughly 82.5% overvalued today. We read business quality at 84/100 (high quality), in the Consumer Cyclical 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

Cloud Live Technology Group Co.,Ltd. engages in the catering, new energy photovoltaics, and Internet games businesses in China. It plans and produces group meal projects; promotes and operates Internet games; and engages in research, development, production, and sale of N-type crystalline silicon solar cells. Cloud Live Technology Group Co.,Ltd. was formerly known as Beijing Xiangeqing Co., Group Ltd. and changed its name to Cloud Live Technology Group Co.,Ltd. in August 2014. Cloud Live Technology Group Co.,Ltd. was founded in 1999 and is based in Beijing, China.

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Frequently asked questions

Is Cloud Live Technology Group (002306) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥0.3500 versus a price of ¥2.00 — about −83% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 002306?
Our 21-model fair value for Cloud Live Technology Group is ¥0.3500 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥2.00.
What is the quality score of 002306?
Cloud Live Technology Group has a Quality Score of 84/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.