GC Medical Science Corporation (142280) Fair Value & Analysis
Healthcare · KR · Market cap 75.2B KRW
Fair value as of: Jun 24, 2026
Analysis
GC Medical Science Corporation (142280) currently trades at 3,010 KRW, while our model-based Fair Value estimate is 2,751 KRW — implying the stock looks roughly 8.6% overvalued today. We read business quality at 92/100 (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: high).
About the company
GC Medical Science Corporation operates as a diagnostic medical device company in the vitro diagnostic industry in South Korea and internationally. The company's products include human healthcare products for the diagnosis of diabetes, non-communicable diseases, respiratory diseases, and vector borne diseases. It offers CERA-CHEK 1Code and CERA-CHEK 1070 for diabetes; GREENCARE A1c for HbA1c, CERA-CHEK 3 in 1 GHL for multi-diagnosis; CERA-CHEK Lactate; GREENCARE Hb and CERA-CHEK Hb Plus for haemoglobin; and GCare Lipid and GCare Lipid Printer for cholesterol. The company also offers Covid-19 and flu diagnosis equipment including GENEDIA W Covid-19 Ag, GreenCare FLU2 Influenza A&B Ag, and " GENEDIA W Covid-19 & Flu A&B Ag. Additionally, it offers dengue diagnosis equipment including GENEDIA W Dengue NS1 Ag, GENEDIA W Dengue lgM/lgG Ab, and GENEDIA W Dengue NS1 & lgM/lgG Combo. Further, the company provides vet healthcare products, such as CERA-PET blood glucose monitoring system for …
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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.