HPF Co (300350) Fair Value & Analysis
Industrials · CN · Market cap 2.5B CNY
Fair value as of: Jun 24, 2026
Analysis
HPF Co (300350) currently trades at ¥4.20, while our model-based Fair Value estimate is ¥7.08 — implying the stock looks roughly 68.6% undervalued today. We read business quality at 94/100 (high quality), in the Industrials 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: low) — always confirm before acting.
About the company
HPF Co.,Ltd provides integrated logistics services primarily in China. Its integrated logistics services include lean land transportation, warehousing, and international freight forwarding services. The company also provides financial and value-added services, including money collection, advance payment, warehouse receipts pledging, and supply chain commodity sales services, as well as product packaging and barcode, insurance agency, sorting and combination, and product quality inspection services for shippers. In addition, it offers agency procurement services of consumer electronic core components; supply chain services; geographic information surveying and mapping services; and mobile IoT operation services comprising research and development of customized mobile terminals, mobile computing, and other technical models. The company was formerly known as Shenzhen Huapengfei Modern Logistics Co., Ltd. and changed its name to HPF Co.,Ltd in July 2017. HPF Co.,Ltd was incorporated in …
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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.