AP Biosciences, Inc (6945) Fair Value & Analysis
Healthcare · TW · Market cap 9.7B TWD
Fair value as of: Jun 24, 2026
Analysis
AP Biosciences, Inc (6945) currently trades at 100.00 TWD, while our model-based Fair Value estimate is 39.32 TWD — implying the stock looks roughly 60.7% 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: low).
About the company
AP Biosciences, Inc. researches and develops protein and antibody drugs for unmet medical needs. It develops IBI302 that is in phase III clinical trials for the treatment of neovascular age-related macular degeneration; AP505 that is in phase I clinical trials for treating solid tumors; AP203 that is in phase I clinical trial for non-small cell lung cancer, head and neck squamous cell carcinoma, and esophageal squamous-cell carcinomas; AP402, which is in the pre-clinical research phase for breast cancer patients; and AP601 that is in pre-clinical research phase for treating lung cancer, pancreatic cancer, bladder cancer, ovarian cancer, and other solid tumors. It caters to healthcare and biotechnology industries. AP Biosciences, Inc. has strategic collaboration with Delos Capital to discover and develop novel immune-related drug candidates through early clinical proof of concept. The company was founded in 2013 and is based in Taipei, Taiwan.
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Frequently asked questions
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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.