Ningbo Fubang Jingye Group (600768) Fair Value & Analysis
Basic Materials · CN · Market cap 2.1B CNY
Fair value as of: Jun 24, 2026
Analysis
Ningbo Fubang Jingye Group (600768) currently trades at ¥16.70, while our model-based Fair Value estimate is ¥5.11 — implying the stock looks roughly 69.4% overvalued today. We read business quality at 83/100 (high quality), in the Basic Materials 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
Ningbo Fubang Jingye Group Co.,Ltd engages in the production, processing, and sale of industrial aluminum plates, strips, and aluminum profiles in China and internationally. It also trades in aluminum casting rods, as well as offers warehousing services. The company also engages in automobile repair, wholesale of coal, manufacturing and processing of non-ferrous metal composite materials, new alloy materials, manufacturing and processing of aluminum and aluminum alloy sheets, strips, foils, and aluminum profile products; processing of plastic products and auto parts; wholesale and retail of electromechanical equipment, loading and unloading machinery. In addition, it offers vehicle accessories, textile raw materials, hardware and electrical appliances, building materials, metal materials, chemical raw materials, rubber products, wood, daily necessities, and textile products; lifting and installation; loading and unloading; warehousing; cargo yard leasing; parking lot; and real estat…
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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.