ST Pharm Co (237690) Fair Value & Analysis
Healthcare · KR · Market cap 2.5T KRW
Analysis
ST Pharm Co (237690) currently trades at 121,000 KRW, while our model-based Fair Value estimate is 61,182 KRW — implying the stock looks roughly 49.4% 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: medium).
About the company
ST Pharm Co. Ltd., a contract development manufacturing organization, provides products for pharmaceutical and non-pharmaceutical area in South Korea. The company offers chemistry manufacturing control (CMC) services, which includes analytical method development; in-house reference standard testing; analytical method qualification/validation; analytical characterization; and CMC documentation. It also provides oligonucleotide based products, such as antisense, siRNA, miRNA, aptamer, CpG, decoy, and other products; and monomer/phosphoramidite. In addition, the company offers generic APIs for anti-cancer, anti-coagulant, anti-fungal, anti-hyperlipidemia, anti-hypertensive, anti-tuberculosis, asthma, COPD, cough suppressant, diabetes mellitus, epilepsy, hepatitis B, and erectile dysfunction medicines, as well as MRI contrast agents. Further, it provides 2nd battery, electronic materials, and polymer catalysts. The company was formerly known as Samchully Pharmaceutical Company., Ltd. ST…
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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.