Laboratorios Farmaceuticos Rovi, S.A (LABFF) Fair Value & Analysis
Healthcare · US · Market cap $4.6B
Fair value as of: Jun 24, 2026
Analysis
Laboratorios Farmaceuticos Rovi, S.A (LABFF) currently trades at $90.61, while our model-based Fair Value estimate is $64.40 — implying the stock looks roughly 28.9% overvalued today. We read business quality at 93/100 (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
Laboratorios Farmaceuticos Rovi, S.A. manufactures, sells, and markets pharmaceutical products in Spain, European Union, OECD countries, and internationally. The company offers prescription products, including Ameride, Bertanel, Bluxam, Enoxaparin Rovi, Calcium Vitamine D3 Rovi, Exxiv, Prinvil, Rhodogil, Glufan, Hibor, Hirobriz Breezhaler, Neparvis, Mysimba, Orvatez, Tryptizol, Ulunar Breezhaler, and Volutsa. It also provides hospital products, such as Iomeron and Iopamiro, Multihance and Y Prohance, Sonovue, Empowercta+, Empowermr, and CT Express; catheter care under the Fibrilin brand; and Sodium Heparin Rovi. In addition, the company offers contract-manufacturing services comprising compounding, sterile filling and terminal sterilisation, inspection, installation of safety devices, labelling, packaging, serialisation and aggregation, for different injectable pharmaceutical forms, such as prefilled syringes, vials and cartridges, as well as manufacturing and packaging services for…
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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.