BrightGene Bio-Medical Technology Co (688166) Fair Value & Analysis
Healthcare · CN · Market cap 18.3B CNY
Analysis
BrightGene Bio-Medical Technology Co (688166) currently trades at ¥36.16, while our model-based Fair Value estimate is ¥18.70 — implying the stock looks roughly 48.3% 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
BrightGene Bio-Medical Technology Co., Ltd., together with its subsidiaries, engages in the research, development, production, and sale of pharmaceutical products in China and internationally. The company develops BGM0504 injection, which is in Phase III clinical trial for treatment of type 2 diabetes and weight loss; and BGM1812, a long-acting amylin analog in preclinical development. It also provides formulations; preparation products; active pharmaceutical ingredients and intermediates; and veterinary drugs for various therapeutic areas, including metabolism, oncology, respiratory, immunosuppression, antiviral, antifungal, antitumor, cerebrovascular, iron supplement, antibodies drug conjugate, anti-infection, angiography, gynecology, cardiovascular, digestion, and others. In addition, the company is involved in technology research and development; transfer of biomedical products; import, export, wholesale, and retail of medicines; production and operation of medical devices; and …
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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.