Prestige BioPharma Limited (950210) Fair Value & Analysis
Healthcare · KR · Market cap 418B KRW
Fair value as of: Jun 24, 2026
Analysis
Prestige BioPharma Limited (950210) currently trades at 6,020 KRW, while our model-based Fair Value estimate is 7,412 KRW — implying the stock looks roughly 23.1% undervalued today. We read business quality at 76/100 (high quality), in the Healthcare sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: medium) — always confirm before acting.
About the company
Prestige BioPharma Limited, a biopharmaceutical company, engages in the research and development and marketing of biosimilars, antibody drugs, and vaccines in Singapore. The company offers Trastuzumab biosimilar for the treatment of breast cancer; Bevacizumab biosimilar for the treatment in oncology; and PBP1502, an adalimumab biosimilar, which is in Phase 1 clinical trial for the treatment in immunity. It also develops PBP1510, a first-in-class antibody, which is in phase 1/2a clinical trial for the treatment of pancreatic cancer; PBP1710, a first-in-class antibody that is in preclinical trials for the treatment of solid tumor and fibrosis; and IDC007, a bispecific antibody for the treatment of CRS. In addition, the company is developing IDC005, IDC001, IDC002, IDC003, IDC008, and IDC009 bispecific antibodies; IDC111, a first-in-class antibody; IDC112, first-in-class antibody; IDC113 first-in-class antibody; IDC332, IDC331, IDC333, and IDC334 novel concept antibodies; and IDC441, 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.