Lixte Biotechnology Holdings (LIXT) Fair Value & Analysis
Healthcare · US · Market cap $132M
Fair value as of: Jun 24, 2026
Analysis
Lixte Biotechnology Holdings (LIXT) currently trades at $7.30, while our model-based Fair Value estimate is $2.50 — implying the stock looks roughly 65.8% overvalued today. We read business quality at 80/100 (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
Lixte Biotechnology Holdings, Inc., a clinical-stage biopharmaceutical and proton cancer therapy company, focuses on identifying targets for cancer drug development, and developing and commercializing cancer therapies. Its lead product candidate, LB-100 is in phase 1b clinical trials combined with Atezolizumab for patients with microsatellite stable metastatic colorectal cancer. The company's LB-100 combined with doxorubicin in advanced soft tissue sarcoma is under Phase 1b portion; and LB-100 combined with dostarlimab that is in phase 1b/2 for ovarian clear cell carcinoma. The company has a clinical trial research agreement with the Netherlands Cancer Institute; collaboration agreement for an investigator-initiated clinical trial with the Spanish Sarcoma Group; and a development collaboration agreement with the Netherlands Cancer Institute. Lixte Biotechnology Holdings, Inc. was founded in 2005 and is based in Boca Raton, 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.