Grifols, S.A (GIFOF) Fair Value & Analysis
Healthcare · US · Market cap $6.0B
Analysis
Grifols, S.A (GIFOF) currently trades at $8.85, while our model-based Fair Value estimate is $14.75 — implying the stock looks roughly 66.7% undervalued today. We read business quality at 80/100 (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: medium) — always confirm before acting.
About the company
Grifols, S.A., together with its subsidiaries, engages in the research, development, production, and marketing of plasma-derived medicines in the United States, Canada, Spain, Europe, and internationally. It operates through four segments: Biopharma, Diagnostic, Bio Supplies, and Others. The company offers various hemoderivatives from human plasma for immunology, infectious diseases, hepatology, intensive care, pulmonology, hematology, and neurology treatment areas; and markets diagnostic testing equipment, reagents, and other equipment, as well as provides transfusion medicine, clinical diagnostics, and testing services. It also offers biological products, including albumin, albumin-derived products, immunoglobulins, thrombin, other proteins, and intermediate plasma products to pharma and biotech companies for biopharma use; and whole blood, blood components, processed plasma, and clinical samples to life-science research and in-vitro diagnostic companies for diagnostic use. In add…
Open the full interactive analysis →
Similar stocks
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.