Bondex Supply Chain Management Co (603836) Fair Value & Analysis
Industrials · CN · Market cap 2.4B CNY
Fair value as of: Jun 24, 2026
Analysis
Bondex Supply Chain Management Co (603836) currently trades at ¥8.13, while our model-based Fair Value estimate is ¥10.67 — implying the stock looks roughly 31.2% 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: high) — always confirm before acting.
About the company
Bondex Supply Chain Management Co., Ltd. provides logistics services in China. The company offers basic segmented logistics services, such as sea freight services, land transport services, air freight services, railway transport services, customs affairs services, and warehouse services; one-stop contract logistics services for automobile industry, fresh and perishable goods, expo logistics, project and bulk logistics, cross-border e-commerce; lean supply chain logistics services for the semiconductor industry; and supply chain trade services. It also provides client-oriented logistics services, including door-door delivery, customs affairs management, and warehousing and distribution to various industries, including electronics, semiconductors, overseas projects, automobiles, cross-border e-commerce, fresh food, fashion consumer goods, etc. Bondex Supply Chain Management Co., Ltd. was founded in 1996 and is headquartered in Qingdao, 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.