Wuchan Zhongda Geron Co (002722) Fair Value & Analysis
Industrials · CN · Market cap 2.9B CNY
Fair value as of: Jun 25, 2026
Analysis
Wuchan Zhongda Geron Co (002722) currently trades at ¥12.74, while our model-based Fair Value estimate is ¥14.17 — implying the stock looks roughly 11.2% undervalued today. We read business quality at 95/100 (high quality), in the Industrials 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: high) — always confirm before acting.
About the company
Wuchan Zhongda Geron Co.,Ltd. engages in the research and development, production, and sales of textile combing equipment and stainless steel decorative materials in China. The company's textile combing equipment includes metal card clothing, elastic cover card clothing, strip card clothing, fixed cover card clothing, combing rollers, pre-combing plate, integral cylinders, and top comb. Its stainless steel decorative panels comprises anti-fingerprint boards, oleophobic and hydrophobic stainless steel plate, mirror and brushed titanium plate, and etched board. The company was formerly known as Geron Co.,Ltd and changed its name to Wuchan Zhongda Geron Co.,Ltd. in July 2022. Wuchan Zhongda Geron Co.,Ltd. was founded in 2004 and is headquartered in Nantong, China.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Wuchan Zhongda Geron Co (002722) undervalued?
What is the fair value of 002722?
What is the quality score of 002722?
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.