Precision BioSciences, Inc (DTIL) Fair Value & Analysis
Healthcare · US · Market cap $176M
Fair value as of: Jun 25, 2026
Analysis
Precision BioSciences, Inc (DTIL) currently trades at $6.74, while our model-based Fair Value estimate is $2.19 — implying the stock looks roughly 67.5% 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
Precision BioSciences, Inc., a clinical stage gene editing company, develops in vivo gene editing therapies for gene edits, including gene insertion, excision, and elimination in the United States. The company offers ARCUS, a genome editing platform for DNA genome insertion, removal, and repair. It also provides PBGENE-HBV for the treatment of chronic hepatitis B virus (HBV) to eliminate covalently closed circular DNA with direct cuts and edits, as well as to inactivate integrated HBV DNA with the goal of long-lasting reductions in hepatitis B surface antigen; and PBGENE-DMD (Excision) for the treatment of Duchenne muscular dystrophy. In addition, the company develops PBGENE-3243 for the treatment of m.3243 associated mitochondrial diseases; and iECURE-OTC (Insertion) for ornithine transcarbamylase deficiency. It has collaboration agreements with TG Cell Therapy, Inc. to develop, manufacture, and commercialize azercabtagene zapreleucel for autoimmune diseases and other indications; …
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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.