Guangdong Prolto Supply Chain Management Co (002769) Fair Value & Analysis
Industrials · CN · Market cap 2.8B CNY
Fair value as of: Jun 25, 2026
Analysis
Guangdong Prolto Supply Chain Management Co (002769) currently trades at ¥7.15, while our model-based Fair Value estimate is ¥1.84 — implying the stock looks roughly 74.3% overvalued today. We read business quality at 92/100 (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: high).
About the company
Guangdong Prolto Supply Chain Management Co., Ltd. provides supply chain management solutions in China and internationally. The company operates global delivery platform; medical service platform; and B2B service platform in line with customer needs in ICT field. It also offers financial leasing services; and cross border e-commerce service solutions with import and export product trade, logistics clearance, brand agency and promotion, and supply chain finance and other cross-border e-commerce integrated solutions. It provides international and domestic freight forwarding services; information consulting; asset management; professional contracting of mechanical and electrical equipment installation projects; mechanical and electrical equipment installation services; and liquid and air-cooled energy storage power station system, and small liquid-cooled energy units. The company is also involved in the investment and operation of industrial and commercial energy storage power station …
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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.