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Qingdao Gon Technology Co (002768) Fair Value & Analysis

Basic Materials · CN · Market cap 23.2B CNY

Price¥52.95
Fair Value¥53.42
Upside+0.9%
Quality80/100
Evidence: Medium Range ¥39.54 – ¥67.88

Analysis

Qingdao Gon Technology Co (002768) currently trades at ¥52.95, while our model-based Fair Value estimate is ¥53.42 — implying the stock looks roughly 0.9% undervalued today. We read business quality at 80/100 (high quality), in the Basic Materials 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

Qingdao Gon Technology Co., Ltd. engages in the research, development, production, and sales of plastic raw materials and products in the People's Republic of China. The company operates through New Chemical Materials; and Health and Wellness segments. The company's products include green petrochemicals, organic polymer modified materials, and organic polymer composites, as well as monomers, synthetic resins, and polymer modified materials/composite materials for various applications, such as home appliances, automotive, new energy, consumer electronics, home building materials, communication, packaging, healthcare, and biodegradable materials. It is also involved in the research, development, production, and sales of gelatin, collagen, empty capsules, and B2C series products. Qingdao Gon Technology Co., Ltd. was incorporated in 2000 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.