Novartis AG (NOVN) Fair Value & Analysis
Healthcare · CH · Market cap CHF 225B
Analysis
Novartis AG (NOVN) currently trades at CHF 123.42, while our model-based Fair Value estimate is CHF 145.14 — implying the stock looks roughly 17.6% 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
Novartis AG researches, develops, manufactures, distributes, markets, and sells pharmaceutical medicines in Switzerland and internationally. The company offers Entresto, an angiotensin receptorneprilysin inhibitor to treat symptomatic chronic heart failure with reduced ejection fraction (HFrEF); Cosentyx to treat plaque psoriasis, pso riatic arthritis, ankylosing spondylitis, and nonradiographic axial spondy loarthritis; Kisqali, a selective oral cyclin dependent inhibitor of kinases 4 and 6 (CDK4/6); Promacta/Revolade to treat immune thrombocytopenia (ITP), thrombocytopenia, and patients with severe aplastic anemia (SAA); Tafinlar+Mekinist, an oral combination therapy to treat patients with certain types of cancers; and Jakavi for the treatment of myelofibrosis, polycythemia vera, and acute or chronic graftversushost disease (GvHD). It also provides Tasigna to treat philadelphia chromosomepositive chronic myeloid leukemia in the chronic and/or accelerated phase; Xolair for the trea…
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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.