Allarity Therapeutics, Inc (ALLR) Fair Value & Analysis
Healthcare · US · Market cap $22.8M
Fair value as of: Jun 25, 2026
Analysis
Allarity Therapeutics, Inc (ALLR) currently trades at $1.30, while our model-based Fair Value estimate is $0.6000 — implying the stock looks roughly 53.8% 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
Allarity Therapeutics, Inc., a clinical-stage precision medicine pharmaceutical company, focuses on developing anti-cancer therapeutics for patients with unmet medical needs in Denmark and the United States. The company develops drugs for the personalized treatment of cancer using drug-specific companion diagnostics generated by its proprietary drug response predictor (DRP) technology. Its lead drug candidate is stenoparib, a dual inhibitor of poly-ADP-ribose polymerase (PARP1/2), which is in a Phase 2 clinical trial for patients with advanced and recurrent ovarian cancer. It is also developing stenoparib with temozolomide, a PARP and WNT inhibitor in combination with a DNA-alkylating chemotherapy agent, which is in a Phase 2 clinical trial for patients with relapsed small cell lung cancer; and stenoparib-DRP, a companion diagnostic product used to select patients for stenoparib treatment. Allarity Therapeutics, Inc. is headquartered in Tarpon Springs, Florida.
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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.