Jiangsu Aidea Pharmaceutical Group (688488) Fair Value & Analysis
Healthcare · CN · Market cap 5.3B CNY
Fair value as of: Jun 24, 2026
Analysis
Jiangsu Aidea Pharmaceutical Group (688488) currently trades at ¥11.98, while our model-based Fair Value estimate is ¥3.28 — implying the stock looks roughly 72.6% overvalued today. We read business quality at 87/100 (high quality), in the Healthcare 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
Jiangsu Aidea Pharmaceutical Group Co., Ltd. develops, produces, and sells pharmaceutical products in China and internationally. It offers anti-HIV drugs and human-derived proteins. The company also provides anti-virus products, such as ainuovirine tablets; urinary protein products, including crude product/intermediate of ulinastatin, urinary kallidinogenase, and urokinase; sennae folium granules; and baicillus cereus tablets. It also exports its products. The company was formerly known as Jiangsu Aidea Pharmaceutical Co., Ltd. and changed its name to Jiangsu Aidea Pharmaceutical Group Co., Ltd. in July 2025. Jiangsu Aidea Pharmaceutical Group Co., Ltd. was founded in 2009 and is headquartered in Yangzhou, China.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is Jiangsu Aidea Pharmaceutical Group (688488) undervalued?
What is the fair value of 688488?
What is the quality score of 688488?
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.