GC Biopharma Corp (006280) Fair Value & Analysis
Healthcare · KR · Market cap 1.4T KRW
Analysis
GC Biopharma Corp (006280) currently trades at 118,600 KRW, while our model-based Fair Value estimate is 121,122 KRW — implying the stock looks roughly 2.1% undervalued today. We read business quality at 86/100 (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: low) — always confirm before acting.
About the company
GC Biopharma Corp., a biopharmaceutical company, develops and sells pharmaceutical drugs in South Korea and internationally. It provides over-the-counter drugs, such as Acustop Cataplasma for Analgesic and anti-inflammatory effect; Kenhancer plaster for anti-inflammatory; and Zenol Cool Type and Zenol Mild Hot Type drugs to treat anti-inflammatory and pain relief. The company also offers Albumin-GCC injection (inj.) for hypoalbuminemia and shock in acute hemorrhage, as well as low synthesis of albumin; Antithrombin-III (AT-III) inj. for hereditary antithrombin-III deficiency; Facnyne inj. for hemophilia B; Fibrinogen to treat hypofibrinogenemia and afibrinogenemia; Gamma Globulin for hypogammaglobulinemia and agammaglobulinemia; GCFLU Quadrivalent and GC FLU pre-filled syringe inj. for prevention of influenza; GreenGene F inj. for bleeding symptom control and hemostasis for persons with hemophilia A; GreenGene inj. for bleeding episodes induced by hemophilia A; Greenplast Q for seal…
Open the full interactive analysis →
Similar stocks
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.