Ansell Limited (ANN) Fair Value & Analysis
Healthcare · AU · Market cap A$3.9B
Fair value as of: Jun 24, 2026
Analysis
Ansell Limited (ANN) currently trades at A$29.90, while our model-based Fair Value estimate is A$13.13 — implying the stock looks roughly 56.1% 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: high).
About the company
Ansell Limited designs, sources, develops, manufactures, distributes, and sells hand and body protection solutions in the Asia Pacific, Europe, the Middle East, Africa, Latin America, the Caribbean, and North America. It operates through two segments: Healthcare and Industrial. The Healthcare segment manufactures and markets solutions, including surgical gloves, single-use and examination gloves, and clean and sterile gloves and garments, as well as consumables for hospitals, surgical centers, dental surgeries, veterinary clinics, first responders, manufacturers, auto repair shops, chemical plants, laboratories, and life sciences and pharmaceutical companies. The Industrial segment manufactures and markets hand and chemical protective clothing solutions for various industrial applications, including automotive, chemical, metal fabrication, machinery and equipment, food, construction, mining, oil and gas, utilities, logistics, and first responders. It sells provides its products unde…
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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.