The United Laboratories International Holdings (ULIHF) Fair Value & Analysis
Healthcare · US · Market cap $2.4B
Analysis
The United Laboratories International Holdings (ULIHF) currently trades at $1.24, while our model-based Fair Value estimate is $3.08 — implying the stock looks roughly 148.4% undervalued today. We read business quality at 94/100 (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
The United Laboratories International Holdings Limited, an investment holding company, engages in the research and development, manufacture, distribution, and sale of pharmaceutical products. It operates through three segments: Bulk Medicine, Intermediate Products, and Finished Products. The company offers amoxicillin products; insulin series, antibiotics, and ophthalmic products; and veterinary drugs. It also provides 6-aminopenicillanic acid and penicillin G potassium products. In addition, the company provides endocrine and metabolism, anti-infection, and other human-used finished products, including ophthalmic drugs, topical dermatological drugs, etc.; and health and wellness products, such as general dietary supplements, healthcare food products, cross-border nutritional supplements, and medical and aesthetic skincare products for various categories comprising bone and joint nutrition, intestinal regulation, cardiovascular health, vision protection, and immunity enhancement. Fu…
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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.