BioInvent International AB (BOVNF) Fair Value & Analysis
Healthcare · US · Market cap $216M
Fair value as of: Jun 24, 2026
Analysis
BioInvent International AB (BOVNF) currently trades at $3.29, while our model-based Fair Value estimate is $3.89 — implying the stock looks roughly 18.3% 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
BioInvent International AB (publ), a clinical-stage company, discovers and develops immuno-modulatory antibodies for cancer therapy in Sweden, Europe, the United States, and internationally. The company's drug candidates include BI-1808, an anti- tumor necrosis factor receptor-2 (TNFR2) antibody in Phase 2a trial for the treatment of solid tumors and T-cell lymphoma; BI-1206, an anti-FcyRIIB antibody in Phase 2a trial for the treatment of non-Hodgkin's lymphoma, and solid tumors; BI-1910, an anti-TNFR2 antibody in Phase 1/2a clinical trial to treat solid tumors; BI-1607, an anti-FcyRIIB antibody in Phase 1b/2a clinical trial to treat solid tumors; and BT-001, an anti- cytotoxic T lymphocyte-associated protein-4 (CTLA-4) antibody in Phase 1/2a clinical trial for the treatment of solid tumors. It has a collaboration with Transgene oncolytic virus platform with BioInvent proprietary antibodies; MSD to evaluate BI-1808, BI-1910, BI-1206, BI-1607, and BT-001 in combination with Keytruda;…
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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.