Imugene Limited (IUGNF) Fair Value & Analysis
Healthcare · US · Market cap $40.3M
Fair value as of: Jun 26, 2026
Analysis
Imugene Limited (IUGNF) currently trades at $0.0900, while our model-based Fair Value estimate is $0.0450 — implying the stock looks roughly 50.0% 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
Imugene Limited, a clinical-stage immuno-oncology company, develops a range of immunotherapies to activate the immune system of cancer patients to treat and eradicate tumours in Australia. Its lead products under development azer-cel, an allogeneic CAR T cell therapy in phase 1 clinical trial targeting relapsed/refractory non-hodgkin lymphoma and b-cell acute lymphoblastic leukemia; CF33 VAXINIA, a combination of genomic sequences from various vaccinia virus strains to generate potent virus in phase 1 clinical trial for mixed advanced solid tumours; and CF33 CD19 chimeric antigen receptor T cells therapies to target solid tumours in phase 1 study. The company also develops CF33 oncolytic virotherapy; HER-VAXX, a B-cell immunotherapy cancer vaccine completed phase 2 clinical trial to target metastatic gastric cancer; HERIZON, which is in Phase 1b/2 study for HER-Vaxx and chemotherapy; PD1-Vaxx, a cancer vaccine that aims to induce the body to produce polyclonal antibodies that block …
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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.