Edesa Biotech, Inc (EDSA) Fair Value & Analysis
Healthcare · US · Market cap $65.4M
Fair value as of: Jun 24, 2026
Analysis
Edesa Biotech, Inc (EDSA) currently trades at $7.64, while our model-based Fair Value estimate is $6.30 — implying the stock looks roughly 17.5% 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
Edesa Biotech, Inc., a clinical-stage biopharmaceutical company, engages in the research and development, manufacture, and commercialization of pharmaceutical products for inflammatory and immune-related diseases. It develops EB05, a monoclonal antibody, which is in Phase 3 clinical study for the treatment of acute respiratory distress syndrome; and EB01, a topical vanishing cream containing non-steroidal anti-inflammatory compound that has completed Phase 3 clinical study to treat chronic allergic contact dermatitis. The company develops EB07, a monoclonal antibody, which is in a Phase 2 clinical study for the treatment of pulmonary fibrosis; and EB06, a human monoclonal antibody candidate that binds to chemokine ligand 10 (CXCL10) and inhibits the interaction of CXCL10 with its receptors, CXCR3A, and CXCR3B. It has a collaboration agreement with NovImmune SA to develop monoclonal antibodies targeting products containing toll-like receptor 4 and CXCL10 for therapeutic, prophylactic…
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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.