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Jinan Shengquan Group (605589) Fair Value & Analysis

Basic Materials · CN · Market cap 49.4B CNY

Price¥73.52
Fair Value¥17.95
Upside-75.6%
Quality90/100
Evidence: Medium Range ¥12.57 – ¥23.34

Analysis

Jinan Shengquan Group (605589) currently trades at ¥73.52, while our model-based Fair Value estimate is ¥17.95 — implying the stock looks roughly 75.6% overvalued today. We read business quality at 90/100 (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

Jinan Shengquan Group Share Holding Co., Ltd. engages in the research, development, production, and sales of synthetic resins and composite materials, and biomass chemical materials and related products in China and internationally. The company offers biomass refining, such as cellulose, hemicellulose, and lignin; new energy products, including porous carbon, hard carbon, lithium titanate battery, modules, forklift power system, and portable energy storage power supply; and electronic chemicals comprising benzoxazine resin, bismaleimide, electronic grade phenolic resin, electronic grade epoxy resin, photoresist, and electrical insulating epoxy resin. It also provides casting materials, such as adhesive, coating, filter, riser, and other products; and health and medicines products. Jinan Shengquan Group Share Holding Co., Ltd. was founded in 1979 and is headquartered in Jinan, 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.