Fagron NV (FAGR) Fair Value & Analysis
Healthcare · BE · Market cap €1.8B
Analysis
Fagron NV (FAGR) currently trades at €24.05, while our model-based Fair Value estimate is €25.22 — implying the stock looks roughly 4.9% undervalued today. We read business quality at 95/100 (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
Fagron NV, a pharmaceutical compounding company, delivers personalized pharmaceutical care to hospitals, pharmacies, clinics, patients, and worldwide. It operates through three segments: Essentials, Brands, and Compounding Services. The company's products include DiluCap, a line of excipients to compound every capsule formulation; DiluTab, for Cardiology and Primary care application; Imuno TF Complex helps in regulation of immune responses; Pigmerise, a natural phytocomplex for hypopigmentation disorders, such as vitiligo; Pentravan uses for avoiding first-pass metabolism and preventing gastrointestinal erosion; Nourisil MD, a first line therapy for prevention and treatment of scars ang keloids; Neogen, a line of hair care products; TrichoConcept used to treat alopecia; Fagron Advanced Derma for basic skincare, compound pharmaceutical treatment, and individualized dermatological care; SyrSpend SF that provides pharmaceutical stability, dosage consistency, and patient comfort; and Cl…
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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.