Xinjiang Tianshun Supply Chain Co (002800) Fair Value & Analysis
Healthcare · CN · Market cap 70.2B KRW
Fair value as of: Jun 25, 2026
Analysis
Xinjiang Tianshun Supply Chain Co (002800) currently trades at 4,260 KRW, while our model-based Fair Value estimate is 8,575 KRW — implying the stock looks roughly 101.3% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare 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: high) — always confirm before acting.
About the company
Xinjiang Tianshun Supply Chain Co., Ltd. provides third-party logistics and supply chain management services for bulk and large cargo in China. The company offers supply chain design, supply chain management, warehousing, procurement, and distribution services. It also provides international air logistics services comprising aircraft leasing; operates international routes, and provides international air transport services to customers; and service consultation and assist in connecting with second-leg truck flight transfer, air-to-air transfer and other related businesses. In addition, the company offers international railway logistics services consisting of international freight train operation services; and logistics park operation services, which include storage yard services. Further, it engages in software development activities. The company was founded in 2008 and is based in Ürümqi, 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.