Sanara MedTech Inc (SMTI) Fair Value & Analysis
Healthcare · US · Market cap $199M
Fair value as of: Jun 24, 2026
Analysis
Sanara MedTech Inc (SMTI) currently trades at $21.75, while our model-based Fair Value estimate is $10.30 — implying the stock looks roughly 52.6% 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: high).
About the company
Sanara MedTech Inc., a medical technology company, develops, markets, and distributes surgical solutions to physicians, hospitals, clinics, and post-acute care settings in the United States. The company offers CellerateRX Surgical, a medical hydrolysate of Type I bovine collagen indicated for the management of surgical, traumatic, and partial- and full-thickness wounds, as well as first- and second-degree burns. It also develops BIASURGE, a no-rinse surgical solution used for wound irrigation; FORTIFY Tissue Repair Graft(FORTIFY TRG), a freeze-dried, multi-layer small intestinal submucosa extracellular matrix sheet; BiFORM, an osteoconductive, bioactive, porous implant that allows bony ingrowth across the graft site and it can be used as a strip or molded into a putty to fill a bone defect; ACTIGEN Inductive Bone Matrix, a naturally derived, differentiated allograft matrix with robust handling properties; ALLOCYTE Plus, a human allograft cellular bone matrix containing bone-derived…
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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.