SI-BONE, Inc (SIBN) Fair Value & Analysis
Healthcare · US · Market cap $702M
Analysis
SI-BONE, Inc (SIBN) currently trades at $15.95, while our model-based Fair Value estimate is $18.01 — implying the stock looks roughly 12.9% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
SI-BONE, Inc., a medical device company, develops procedural solutions for compromised bone, grounded in expertise in biomechanical design and anatomy-specific applications in the United States and internationally. It offers a series of patented titanium implants and the instruments used to implant them, as well as implantable bone products. The company also provides IFUSE, a triangular titanium implant with a triangular cross-section and porous surface that stabilizes the joint and facilitates the biological fixation of the bone onto the implant to drive fusion; IFUSE 3D, a triangular titanium implant with a porous surface and fenestrated design to self-harvest bone; IFUSE BONE, which supports and augments the patient's own bone tissue in orthopedic procedures; IFUSE TORQ, an additively-manufactured threaded implant designed to allow for osteointegration, or incorporation of the bone into the implant's porous surface and structure; IFUSE BEDROCK GRANITE, an implant with a machined …
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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.