CRISPR Therapeutics AG (CRSP) Fair Value & Analysis
Healthcare · US · Market cap $5.0B
Analysis
CRISPR Therapeutics AG (CRSP) currently trades at $53.99, while our model-based Fair Value estimate is $89.67 — implying the stock looks roughly 66.1% undervalued today. We read business quality at 95/100 (high quality), in the Healthcare sector. Bull case: trading below our estimate, it may offer upside if the fundamentals hold. Bear case: a low price can be a value trap when quality is weak or the data is thin (evidence: low) — always confirm before acting.
About the company
CRISPR Therapeutics AG, a gene editing company, focuses on developing gene-based medicines for serious human diseases using its Clustered Regularly Interspaced Short Palindromic Repeats (CRISPR)/CRISPR-associated protein 9 (Cas9) platform. The company's CRISPR/Cas9 is a technology for gene editing which is the process of precisely altering specific sequences of genomic DNA. It has a portfolio of therapeutic programs across a range of disease areas, including hemoglobinopathies, CAR T cell therapies, in vivo, and type 1 diabetes, as well as develops investigational CAR T programs, including an autologous, gene-edited CAR T program targeting allogeneic chimeric antigen receptor T cell for autoimmune indications and oncology. The company's lead product candidate is CASGEVY, an ex vivo CRISPR/Cas9 gene-edited cell therapy for treating patients suffering from transfusion-dependent beta-thalassemia, severe sickle cell disease (SCD), and hemoglobinopathies in which a patient's hematopoieti…
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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.