Joinn Laboratories(China)Co.,Ltd. (603127) Fair Value & Analysis
Healthcare · CN · Market cap 24.2B CNY
Analysis
Joinn Laboratories(China)Co.,Ltd. (603127) currently trades at ¥36.67, while our model-based Fair Value estimate is ¥9.61 — implying the stock looks roughly 73.8% overvalued today. We read business quality at 95/100 (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: high).
About the company
Joinn Laboratories(China)Co.,Ltd. provides preclinical and non-clinical services in the United States, the People's Republic of China, and internationally. It operates through three segments: Non-Clinical Studies Services; Clinical Trial and Related Services; and Sales of Research Models. The Non-Clinical Studies Services segment offers drug safety assessment, drug metabolism and pharmacokinetics DMPK studies, and pharmacology and efficacy studies. Its Clinical Trial and Related Services segment provide clinical contract research organization services, co-managed phase I clinical research units, and bioanalytical services. The Sales of Research Models segment engages in the design, production, breeding, and sale of research models, including non-human primates and rodents. The company also offers cell-based assay (CBA) services. In addition, it offers drug quality research and testing services for protein drugs, vaccines, gene and cell therapy products, and provides customized solut…
Open the full interactive analysis →
Similar stocks
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.