Teva Pharmaceutical Industries Limited (TEVA) Fair Value & Analysis
Healthcare · US · Market cap $37.5B
Fair value as of: Jun 24, 2026
Analysis
Teva Pharmaceutical Industries Limited (TEVA) currently trades at $33.21, while our model-based Fair Value estimate is $15.61 — implying the stock looks roughly 53.0% overvalued today. We read business quality at 95/100 (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
Teva Pharmaceutical Industries Limited develops, manufactures, markets, and distributes generic and other medicines, and biopharmaceutical products in the United States, Europe, Israel, and internationally. It offers generic medicines in various dosage forms, such as tablets, capsules, injectables, inhalants, liquids, transdermal patches, ointments, and creams; sterile products, hormones, high-potency drugs, and cytotoxic substances in parenteral and solid dosage forms; and generic products with medical devices and combination products. The company also focuses on the central nervous system (CNS), respiratory, and oncology areas. It provides active pharmaceutical ingredients, as well as contract manufacturing services; and operates an out-licensing platform that offers a portfolio of products to other pharmaceutical companies. The company also offers BENDEKA and TREANDA injections for the treatment of chronic lymphocytic leukemia and indolent b-cell non-hodgkin's lymphoma; COPAXONE …
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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.