Abbott Laboratories, (ABL) Fair Value & Analysis
Healthcare · DE · Market cap €128B
Fair value as of: Jun 24, 2026
Analysis
Abbott Laboratories, (ABL) currently trades at €79.38, while our model-based Fair Value estimate is €79.68 — implying the stock looks roughly 0.4% undervalued today. We read business quality at 94/100 (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
Abbott Laboratories, together with its subsidiaries, discovers, develops, manufactures, and sells health care products worldwide. It operates in four segments: Established Pharmaceutical Products, Diagnostic Products, Nutritional Products, and Medical Devices. The company offers generic pharmaceuticals for the treatment of pancreatic exocrine insufficiency, irritable bowel syndrome or biliary spasm, intrahepatic cholestasis or depressive symptoms, gynecological disorder, hormone replacement therapy, dyslipidemia, hypertension, hypothyroidism, hypertriglyceridemia, Ménière's disease and vestibular vertigo, pain, fever, inflammation, and migraine, as well as provides anti-infective clarithromycin, influenza vaccine, and products to regulate physiological rhythm of the colon. It also provides laboratory and transfusion medicine systems in the areas of immunoassay, clinical chemistry, hematology, and transfusion serology testing; molecular diagnostics polymerase chain reaction instrumen…
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Frequently asked questions
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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.