Lantheus Holdings (LNTH) Fair Value & Analysis
Healthcare · US · Market cap $6.6B
Analysis
Lantheus Holdings (LNTH) currently trades at $106.03, while our model-based Fair Value estimate is $78.92 — implying the stock looks roughly 25.6% 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
Lantheus Holdings, Inc. develops, manufactures, and commercializes diagnostic and therapeutic products that assist clinicians in diagnosis and treatment of heart, cancer, and other diseases worldwide. The company offers DEFINITY, an injectable ultrasound enhancing agent used in echocardiography exams; TechneLite, a technetium generator for nuclear medicine procedures; Xenon-133, a radiopharmaceutical gas to assess pulmonary function; Neurolite, an injectable imaging agent to identify the area within the brain where blood flow has been blocked or reduced due to stroke; Cardiolite, an injectable Tc-99m-labeled imaging agent to assess blood flow to the muscle of the heart; and PYLARIFY, an F 18-labelled PSMA-targeted PET imaging agent used for imaging of PSMA positive-lesions in men with prostate cancer. It also provides Automated Bone Scan Index that calculates the disease burden of prostate cancer by detecting and classifying bone scan tracer uptakes as metastatic or benign lesions u…
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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.