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Glanbia plc (GLAPF) Fair Value & Analysis

Consumer Defensive · US · Market cap $6.3B

Price$25.80
Fair Value$17.03
Upside-34.0%
Quality95/100
Evidence: High Range $12.43 – $22.92

Analysis

Glanbia plc (GLAPF) currently trades at $25.80, while our model-based Fair Value estimate is $17.03 — implying the stock looks roughly 34.0% 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

Glanbia plc, together with its subsidiaries, operates as a nutrition company worldwide. The company offers sports nutrition and lifestyle nutrition products in various formats, such as powders, capsules, tablets, ready-to-eat bars, and ready-to-drink beverage. It also manufactures and sells cheese, dairy, and non-dairy nutritional and functional ingredients; and vitamin and mineral premixes products. In addition, the company engages in the financing business; property and land dealing business; property leasing; provision of business services and management solutions; and bioactive solutions. It offers its products under the Optimum Nutrition, BSN, Isopure, Nutramino, think!, Amazing Grass brands. The company sells its products through specialty retail, online, gym, and food, drug, mass, and club channels. Glanbia plc was founded in 1964 and is headquartered in Kilkenny, Ireland.

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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.