Kane Biotech Inc (KNBIF) Fair Value & Analysis
Healthcare · US · Market cap $5.1M
Fair value as of: Jun 23, 2026
Analysis
Kane Biotech Inc (KNBIF) currently trades at $0.0250, while our model-based Fair Value estimate is $0.0100 — implying the stock looks roughly 60.0% 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
Kane Biotech Inc., a biotechnology company, engages in the research, development, and commercialization of technologies and products that prevent and remove microbial biofilms in Canada and internationally. The company develops its products using coactiv+ technology, a biofilm destabilizing formula with continuous activity; and DispersinB technology, a naturally occurring enzyme that cleaves the bacterial surface polysaccharide poly-b-1, 6-N-acetylglucosamine (PNAG) for treating wounds and otic infections. Its wound care product portfolio includes antimicrobial wound gel, antimicrobial wound gel spray, and antimicrobial wound rinse under revyve name, as well as antimicrobial surgical hydrogel under coactiv+ name. In addition, the company offers scalp detoxifier product line under the Omni Bioceuticals brand. Further, it engages in developing coactiv+ Antimicrobial Surgical Hydrogel for use in surgical/acute wounds; revyve Antimicrobial Wound Rinse for use in acute and chronic wounds…
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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.