Hengtong Logistics Co (603223) Fair Value & Analysis
Industrials · CN · Market cap 6.5B CNY
Analysis
Hengtong Logistics Co (603223) currently trades at ¥10.37, while our model-based Fair Value estimate is ¥5.28 — implying the stock looks roughly 49.1% overvalued today. We read business quality at 94/100 (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: medium).
About the company
Hengtong Logistics Co., Ltd. engages in the logistics business in China. It is involved in road freight logistics, transportation, LNG energy trade logistics, and terminal leasing activities. The company also offers general cargo transportation, transportation vehicles, transportation fleet services, and hazardous chemicals transportation. In addition, it provides oil and gas and bulk commodity trading; port construction and operation; clean energy solutions; full logistics services; and intelligent transportation system research and development. In addition, the company engages in liquefied natural gas (LNG) leasing; and provision of road transport, driver training, and petroleum gas services, as well as cargo warehousing, loading, unloading, and shipping agency services. Further, it provides information systems, hardware and software solutions, logistics agency, cargo transportation, dangerous goods transportation, tallying, motor vehicle maintenance and repair, technical, agency,…
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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.