Alphatec Holdings (ATEC) Fair Value & Analysis
Healthcare · US · Market cap $1.3B
Analysis
Alphatec Holdings (ATEC) currently trades at $8.50, while our model-based Fair Value estimate is $1.05 — implying the stock looks roughly 87.6% 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: medium).
About the company
Alphatec Holdings, Inc., a medical technology company, designs, develops, and advances technologies for the surgical treatment of spinal disorders in the United States and internationally. The company manufactures and sells implants, instruments, imaging equipment, and spare parts. It offers Alpha InformatiX product platform, including EOS imaging system that provides full-body imaging; SafeOp Neural InformatiX System that automates electromyographic, somatosensory evoked potential, and motor evoked potential monitoring; and Valence, an intra-operative system that integrates navigation and robotics into spine procedures, as well as Sigma Prone TransPsoas (PTP) Access and PTP Patient Positioning Systems. It also provides split-blade retractors; Sigma-ALIF Access System, a procedure-specific access system; spinal implants and fixation systems comprising NanoTec and Invictus, as well as various standalone implants for height restoration and stabilization. In addition, the company provi…
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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.