Radiopharm Theranostics Limited (RAD) Fair Value & Analysis
Healthcare · AU · Market cap A$47.3M
Fair value as of: Jun 26, 2026
Analysis
Radiopharm Theranostics Limited (RAD) currently trades at A$0.0190, while our model-based Fair Value estimate is A$0.0173 — implying the stock looks roughly 9.0% overvalued today. We read business quality at 92/100 (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
Radiopharm Theranostics Limited a clinical-stage radiotherapeutics company, engages in the research and development of radiopharmaceutical products for diagnostic and therapeutic uses in areas with high unmet medical needs. The company develops several products, including RAD101, a pivalate brain metastasis diagnostic; RAD102, a pivalate therapeutic; RAD201a, a Nano-mAb HER-2 breast diagnostic; RAD202, a Nano-mAb HER-2 breast therapeutic; RAD203, a Nano-mAb PDL1 non-small cell lung diagnostic; and RAD204, a Nano-mAb PDL1 non-small cell lung therapeutic. Additionally, it is developing RAD301 and RAD302, which are Avß6-Integrin pancreatic diagnostic and therapeutic products; RAD401, a PSA-mAb prostate cancer diagnostic; RAD402, a PSA-mAb prostate cancer therapeutic; RAD601, a PTPµ glioblastoma diagnostic; and RAD602, a PTPµ glioblastoma therapeutic. The company has a strategic agreement with Lantheus Holdings, Inc. to advance the clinical development of radiopharmaceuticals. The compa…
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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.