HK inno.N Corporation (195940) Fair Value & Analysis
Healthcare · KR · Market cap 1.2T KRW
Fair value as of: Jun 24, 2026
Analysis
HK inno.N Corporation (195940) currently trades at 38,700 KRW, while our model-based Fair Value estimate is 58,786 KRW — implying the stock looks roughly 51.9% undervalued today. We read business quality at 95/100 (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: high) — always confirm before acting.
About the company
HK inno.N Corporation engages in the pharmaceutical business in South Korea. The company offers prescription drugs for the treatment of gram-positive and gram-negative organisms, enterococcus faecium infections, vancomycin-resistant, acute bacterial sinusitis, bronchitis, neumonia, antibiotics, and infections caused by microorganism; anemia and hemodialysis; diabetes; hypertension, primary hypercholesterinemia, homozygous familial hypercholesterolemia, and hypertension with dyslipidemia; GERD, EE, NERD, GU and H.Pylori; pleural mesothelioma, non-small cell lung cancer, and mesothelioma, and colorectal cancer; and nutrition and intravenous nutrition. It also provides health and beverage products, such as hangover relief, ready to drink, health supplements and health functional foods, as well as active pharmaceutical ingredients. In addition, the company offers beauty products under the bewants, ScalpMed, and KLEDERMA RX brands. It also exports its products to Japan, Southeast Asia, L…
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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.