Easywell Biomedicals, Inc (1799) Fair Value & Analysis
Healthcare · TW · Market cap 3.8B TWD
Fair value as of: Jun 24, 2026
Analysis
Easywell Biomedicals, Inc (1799) currently trades at 30.60 TWD, while our model-based Fair Value estimate is 10.41 TWD — implying the stock looks roughly 66.0% overvalued today. We read business quality at 94/100 (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
Easywell Biomedicals, Inc., together with its subsidiaries, develops, manufactures, and sells generic pharmaceutical ingredients and products in America, China, and Taiwan. The company develops TLX-001, an anti-cough medicine; TLX-005, an anti-urinary incontinence medicine; TLX-006 for the treatment of breast cancer in PMS women; TLX-007 and TLX-004, which are anti-depressants; TLX-008 for the prevention of pneumocystis pneumonia; TLX-012 for the treatment of epilepsy; TLX-017 for the treatment of chronic angina; and TLX-011 for the treatment of inflammatory lesions of rosacea. It is also developing TLX-015, a medicine for the prevention and treatment of postpartum hemorrhage; TLX-018, a hemorrhage treatment drug; TLX-030, a medication for adrenal insufficiency treatment; TLX-047, a systemic corticosteroid; HH-001, a sacubitril/valsartan sodium tablet; TLX-024, a liquid oral anticonvulsant; TLX-034, an endocrine drug; TWB-201, a Parkinson patch; TLX-501, a urinary medicine; and TLX-…
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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.