Integer Holdings (ITGR) Fair Value & Analysis
Healthcare · US · Market cap $3.1B
Analysis
Integer Holdings (ITGR) currently trades at $89.54, while our model-based Fair Value estimate is $45.36 — implying the stock looks roughly 49.3% 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
Integer Holdings Corporation operates as a medical device contract development and manufacturing company in the United States, Costa Rica, Puerto Rico, Ireland, and internationally. The company offers products for interventional cardiology, structural heart, heart failure, peripheral vascular, neurovascular, interventional oncology, electrophysiology, vascular access, infusion therapy, hemodialysis, non-vascular, urology, and gastroenterology procedures. It also provides cardiac rhythm management products, including implantable pacemakers, implantable cardioverter defibrillators, insertable cardiac monitors, implantable cardiac pacing and defibrillation leads, and heart failure therapies; implanted medical devices, implanted leads, procedure accessories, and external devices; neuromodulation products, such as implantable spinal cord stimulators; and non-rechargeable batteries, feedthroughs, device enclosures, machined components, and lead components and sub-assemblies. In addition, …
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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.