JD Logistics, Inc (JDLGF) Fair Value & Analysis
Industrials · US · Market cap $11.1B
Analysis
JD Logistics, Inc (JDLGF) currently trades at $1.80, while our model-based Fair Value estimate is $3.49 — implying the stock looks roughly 93.9% undervalued today. We read business quality at 89/100 (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: medium) — always confirm before acting.
About the company
JD Logistics, Inc., an investment holding company, provides integrated supply chain solutions and logistics services in the People's Republic of China. The company offers warehousing and distribution services, including warehousing, distribution and delivery, and value-added logistics services; and express and freight delivery service, such as parcel pickup, parcel sorting, line-haul transportation, and last-mile delivery through warehouse, line-haul transportation, last-mile delivery, bulky item logistics, cold chain logistics, and cross-border logistics networks. It also provides value-added services, such as installment, after-sales and maintenance, logistics technology, and advertising services. In addition, the company is involved in the provision of freight transportation, technology and consulting, and courier services; and freight forwarder and air cargo business. It serves fast-moving consumer goods, home appliances and home furniture, apparel, 3C, automotive, fresh produce…
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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.