Hugel, Inc (145020) Fair Value & Analysis
Healthcare · KR · Market cap 2.7T KRW
Analysis
Hugel, Inc (145020) currently trades at 259,500 KRW, while our model-based Fair Value estimate is 286,927 KRW — implying the stock looks roughly 10.6% undervalued today. We read business quality at 91/100 (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
Hugel, Inc. develops and manufactures biopharmaceuticals in South Korea and internationally. The company offers Botulinum Toxin, a white injectable dry powder in a transparent glass vial for use in the treatment of positive essential eyelid convulsion in adults over 18 years of age; improvement of severe lasso wrinkles associated with corrugator muscles and/or procerus muscle activities in adults aged between 18 and 65; treatment of upper limb stroke; and treatment of dynamic equinus foot deformity in children with cerebral palsy over 2 years of age, as well as improvement of external angles of secondary ideals related to orbicularis oculi muscle activity in adults aged between 19 and 65 under the Botulax, Regenox, Zentox, Reage, Magnion, Hugel Toxin, Juvenlife, Botulim, and Botoshot brands. It also provides hyaluronic acid filler under the Dermalax, and The Chaeum brand names; cosmetics under the Wellage brand; and medical devices under BlueRose brand name. Hugel, Inc. was founded…
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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.