Merit Medical Systems, Inc (MMSI) Fair Value & Analysis
Healthcare · US · Market cap $3.8B
Fair value as of: Jun 24, 2026
Analysis
Merit Medical Systems, Inc (MMSI) currently trades at $67.27, while our model-based Fair Value estimate is $47.39 — implying the stock looks roughly 29.6% 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
Merit Medical Systems, Inc. designs, develops, manufactures, and markets single-use medical products for interventional, diagnostic, and therapeutic procedures in the United States, China, Japan, Germany, France, the United Kingdom, and internationally. It operates through two segments, Cardiovascular and Endoscopy. The company offers micropuncture kits, angiographic needles, sheaths, guide wires, and safety products; peripheral intervention products comprising angiography, drainage, delivery systems, and embolotherapy products; oncology products, such as soft tissue biopsy products and accessories; cardiac intervention products consisting of cardiac access, angiography, electrophysiology and cardiac rhythm management, fluid management, hemodynamic monitoring, hemostasis, and intervention products; and spine products, including vertebral augmentation, radiofrequency ablation, and bone biopsy systems. It also provides custom procedural solutions, including critical care products, syr…
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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.