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SELLAS Life Sciences Group (SLS) Fair Value & Analysis

Healthcare · US · Market cap $1.7B

Price$9.07
Fair Value$1.62
Upside-82.1%
Quality95/100
Evidence: Low Range $1.22 – $2.03

Analysis

SELLAS Life Sciences Group (SLS) currently trades at $9.07, while our model-based Fair Value estimate is $1.62 — implying the stock looks roughly 82.1% 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

SELLAS Life Sciences Group, Inc., a late-stage clinical biopharmaceutical company, focuses on the development of novel therapeutics for various cancer indications in the United States. The company's lead product candidate is galinpepimut-S (GPS), a peptide immunotherapy directed against the Wilms tumor 1, antigen; and SLS009 (tambiciclib), a selective small molecule cyclin-dependent kinase 9, or CDK9, inhibitor. It has a strategic collaboration with Merck & Co., Inc. to evaluate GPS as it is administered in combination with PD1 blocker pembrolizumab in a Phase 1/2 clinical trial enrolling patients in up to five cancer indications, including hematologic malignancies and solid tumors; GenFleet Therapeutics (Shanghai), Inc. for the development and commercialization of GFH009; and Memorial Sloan Kettering Cancer Center for developing and commercializing MSK's WT1 peptide vaccine technology. SELLAS Life Sciences Group, Inc. is headquartered in New York, New York.

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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.