LigaChem Biosciences Inc (141080) Fair Value & Analysis
Healthcare · KR · Market cap 5.0T KRW
Fair value as of: Jun 24, 2026
Analysis
LigaChem Biosciences Inc (141080) currently trades at 152,600 KRW, while our model-based Fair Value estimate is 62,746 KRW — implying the stock looks roughly 58.9% overvalued today. We read business quality at 88/100 (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
LigaChem Biosciences Inc., a clinical stage biopharmaceutical company, engages in the discovery and development of medicines for unmet medical needs. The company researches and develops products for various therapeutic areas, including antibiotics, anti-fibrotics, immuno-oncology, oncology; and antibody-drug conjugate (ADC) platform technology and small molecule drugs. It also sells medical device and supplies. It has a research collaboration and license agreement with AMGEN for the development and commercialization of ADCs. The company was formerly known as LegoChem Biosciences, Inc. and changed its name to LigaChem Biosciences Inc. in April 2024. LigaChem Biosciences Inc. was founded in 2006 and is headquartered in Daejeon, South Korea.
Open the full interactive analysis →
Similar stocks
Frequently asked questions
Is LigaChem Biosciences Inc (141080) undervalued?
What is the fair value of 141080?
What is the quality score of 141080?
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.