United-Guardian, Inc (UG) Fair Value & Analysis
Consumer Defensive · US · Market cap $33.0M
Fair value as of: Jun 25, 2026
Analysis
United-Guardian, Inc (UG) currently trades at $7.19, while our model-based Fair Value estimate is $5.92 — implying the stock looks roughly 17.7% overvalued today. We read business quality at 95/100 (high quality), in the Consumer Defensive 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: high).
About the company
United-Guardian, Inc. develops, manufactures, sells, and markets specialty cosmetic ingredients, pharmaceutical products, medical lubricants, and sexual wellness ingredients in the United States and internationally. The company offers cosmetic ingredients, including LUBRAJEL, a line of multifunctional hydrogel formulations for personal care and medical products; B-122, a powdered lubricant used in the manufacture of certain cosmetics, such as pressed powders, eyeliners, and rouges, as well as some industrial products; ORCHID COMPLEX, an oil-based extract of orchids; and LUBRASIL II SB, a special formulation of Lubrajel in which silicone oil incorporates into a Lubrajel base. It also provides medical lubricant products for catheter lubrication, medical devices, condom lubrication, and oral care under the Lubrajel brand, including Lubrajel MG, Lubrajel MGL, Lubrajel RRCG, Lubrajel RR, Lubrajel RC, Lubrajel RA, Lubrajel Fluid, Lubrajel LC, Lubrajel BA, and Lubrajel FACO. In addition, t…
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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.