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Shanghai Hongda New Material Co (002211) Fair Value & Analysis

Basic Materials · CN · Market cap 1.7B CNY

Price¥3.69
Fair Value¥0.6700
Upside-81.8%
Quality95/100
Evidence: Medium Range ¥0.6000 – ¥0.7400

Fair value as of: Jun 25, 2026

Analysis

Shanghai Hongda New Material Co (002211) currently trades at ¥3.69, while our model-based Fair Value estimate is ¥0.6700 — implying the stock looks roughly 81.8% overvalued today. We read business quality at 95/100 (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

Shanghai Hongda New Material Co., Ltd., together with its subsidiaries, engages in the production and sale of silicone rubber in China. It also offers information security communication equipment. The company was formerly known as Jiangsu Hongda New Material Co., Ltd. And changed its name to Shanghai Hongda New Material Co., Ltd. Shanghai Hongda New Material Co., Ltd. was founded in 2002 and is based in Shanghai, China.

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Frequently asked questions

Is Shanghai Hongda New Material Co (002211) undervalued?
As of Jun 25, 2026, our model estimates a fair value of ¥0.6700 versus a price of ¥3.69 — about −82% (overvalued). Model-based estimate, not financial advice.
What is the fair value of 002211?
Our 21-model fair value for Shanghai Hongda New Material Co is ¥0.6700 (as of Jun 25, 2026), built from audited fundamentals. The current price is ¥3.69.
What is the quality score of 002211?
Shanghai Hongda New Material Co has a Quality Score of 95/100, measuring profitability, growth and balance-sheet strength from non-valuation factors.

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.