Sana Biotechnology, Inc (SANA) Fair Value & Analysis
Healthcare · US · Market cap $935M
Analysis
Sana Biotechnology, Inc (SANA) currently trades at $3.35, while our model-based Fair Value estimate is $2.60 — implying the stock looks roughly 22.4% 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
Sana Biotechnology, Inc., a biotechnology company, focuses on utilizing engineered cells as medicines in the United States. It develops ex vivo and in vivo cell engineering platforms for various therapeutic areas with unmet treatment needs, including type 1 diabetes, B cell mediated autoimmune diseases, and oncology. The company's product pipeline includes UP421, a HIP-modified allogeneic primary islet cell product, which is in phase 1 clinical trial to treat type 1 diabetes; SC451, a HIP-modified, stem cell derived pancreatic islet cell therapy, which is in preclinical trial for the treatment of type 1 diabetes; SG293 and SG299, a CD8-targeted fusosome for the treatment of B cell hematologic malignancies and B cell mediated autoimmune diseases. The company has an option and license agreement with Beam Therapeutics Inc. for use of Beam's proprietary CRISPR Cas12b nuclease editing technology to research, develop, and commercialize engineered cell therapy products; and a license agree…
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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.