Aurora Spine Corporation (ASAPF) Fair Value & Analysis
Healthcare · US · Market cap $12.1M
Fair value as of: Jun 26, 2026
Analysis
Aurora Spine Corporation (ASAPF) currently trades at $0.1587, while our model-based Fair Value estimate is $0.1100 — implying the stock looks roughly 30.7% 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
Aurora Spine Corporation, through its subsidiary, Aurora Spine, Inc., engages in the development and distribution of minimally invasive interspinous fusion systems and devices in Canada. The company offers interspinous process lumbar fusion devices, such as the ZIP, ZIP ULTR, ZIP LP, and ZIP-51 for patients suffering from degenerative disc diseases. It also provides SOLO, an anterior lumbar interbody fusion 3D printed stand-alone lumbar fusion device, which is an integrated plate and spacer system that helps to preserve the natural anatomic profile while providing spinal column support and stability; and SiLo, a posterior allograft implant; and SiLO TFX, a titanium implant device for sacroiliac joint fusion. In addition, the company offers Dexa-C, a 3D printed cervical fusion device, which is a porous 3D-printed intervertebral cage that incorporates lattice pattern options to support the matching of patients' bone quality, as well as DEXA SOLO-L, a spinal device implanted in the int…
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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.