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Longzhou Group (002682) Fair Value & Analysis

Consumer Cyclical · CN · Market cap 2.8B CNY

Price¥4.62
Fair Value¥2.54
Upside-45.0%
Quality93/100
Evidence: Medium Range ¥2.30 – ¥3.05

Fair value as of: Jun 25, 2026

Analysis

Longzhou Group (002682) currently trades at ¥4.62, while our model-based Fair Value estimate is ¥2.54 — implying the stock looks roughly 45.0% overvalued today. We read business quality at 93/100 (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: medium).

About the company

Longzhou Group Co., Ltd. primarily engages in the transportation business in China. The company offers asphalt supply chain, port and terminal services, logistics park operations, etc.; and research, develop, and manufactures new energy vehicles. It also operates automobile passenger transport and station services including shuttle bus, tourist, taxi, and urban bus and passenger station operations. The company was formerly known as Fujian Longzhou Transportation Co., Ltd. and changed its name to Longzhou Group Co., Ltd. August 2018. Longzhou Group Co., Ltd. was founded in 2003 and is headquartered in Longyan, China.

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Frequently asked questions

Is Longzhou Group (002682) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥2.54 versus a price of ¥4.62 — about −45% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 002682?
Our 21-model fair value for Longzhou Group is ¥2.54 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥4.62.
What is the quality score of 002682?
Longzhou Group has a Quality Score of 93/100, 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.