Jushen Logistics Group (001202) Fair Value & Analysis
Industrials · CN · Market cap 2.4B CNY
Fair value as of: Jun 25, 2026
Analysis
Jushen Logistics Group (001202) currently trades at ¥14.16, while our model-based Fair Value estimate is ¥9.13 — implying the stock looks roughly 35.5% overvalued today. We read business quality at 95/100 (high quality), in the Industrials 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: high).
About the company
Jushen Logistics Group Co., Ltd. provides supply chain logistics services in China. It offers logistics services for bulk commodities, such as aluminum, copper, zinc, tin, alumina, industrial silicon, stainless steel, and PVC. The company also provides long and short distance motor, container, bulk carrier, and sea-railway combined transportation, as well as customs declaration, inspection and third-party commodity inspection services for bulk commodities. In addition, it offers integrated warehousing services, including container and vehicle loading and unloading, tallying, checkup and acceptance, goods stacking, transfer or ex-warehousing by instructions, and futures delivery. Further, the company provides Jushen Intelligent Transport network-based freight platform, a cross-industry system management platform providing one-stop services for cargo owners, logistics enterprises, public vehicles, financial institutions and regulatory authorities. The company was formerly known as Gua…
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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.