Tibet AIM Pharm. Inc (002826) Fair Value & Analysis
Healthcare · CN · Market cap 3.3B CNY
Analysis
Tibet AIM Pharm. Inc (002826) currently trades at ¥16.44, while our model-based Fair Value estimate is ¥10.68 — implying the stock looks roughly 35.0% 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
Tibet AIM Pharm. Inc. engages in the research and development, manufacturing, and sale of medical products in China. The company's products include Miglitol tablets for diabetes; ethnic medicine products, suitable for treating breast lobular hyperplasia, uterine fibroids, and ovarian cysts; gynecology and obstetrics; and NalMefene hydrochloride injection for various acute poisoning, such as alcohol, organic phosphor, CO, sedative-hypnotic, opioid substance, severe infection, shock, cord injury, and brain, as well as coma, spinal cord injury, cerebral infarction, hemorrhage, etc. It also provides Carbetocin injections for prevention of postpartum hemorrhage; Domperidone tablets for treatment of indigestion, abdominal bloating, belching, nausea, vomiting, and abdominal distension and pain; Montmorillonite powder for chronic diarrhea; Hongjin Xiaojie tablets and Aceclofenac Enteric-Coated tablets, as well as for the treatment of antibiotics, antiallergic, and digestive systems. Tibet A…
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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.