Orthofix Medical Inc (OFIX) Fair Value & Analysis
Healthcare · US · Market cap $382M
Fair value as of: Jun 25, 2026
Analysis
Orthofix Medical Inc (OFIX) currently trades at $9.36, while our model-based Fair Value estimate is $1.48 — implying the stock looks roughly 84.2% 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: low).
About the company
Orthofix Medical Inc., together with its subsidiaries, operates as a medical technology company in the United States, Italy, the United Kingdom, France, Germany, Brazil, and internationally. It operates through two segments, Global Spine and Global Limb Reconstruction. The Global Spine segment manufactures, distributes, and provides support services for bone growth stimulation devices that enhance bone fusion; designs, develops, and markets a portfolio of spine fixation implant products for use throughout the spinal column; and offers bone graft substitutes, such as fiber-based and particulate demineralized bone matrices, cellular bone allografts, collagen ceramic matrices, and synthetic bone void fillers in various forms with supporting graft delivery solutions to treat various spinal, orthopedic, and dental conditions. This segment also designs, develops, and markets a portfolio of navigation technologies, including tracked surgical tools, intelligent software, and imaging equipme…
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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.