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Arbutus Biopharma Corporation (ABUS) Fair Value & Analysis

Healthcare · US · Market cap $855M

Price$4.45
Fair Value$1.74
Upside-60.9%
Quality95/100
Evidence: Low Range $1.31 – $2.18

Analysis

Arbutus Biopharma Corporation (ABUS) currently trades at $4.45, while our model-based Fair Value estimate is $1.74 — implying the stock looks roughly 60.9% 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

Arbutus Biopharma Corporation, a clinical-stage biopharmaceutical company, develops novel therapeutics for infectious disease in the United States. Its chronic Hepatitis B virus product pipeline comprises Imdusiran, conjugated GalNAc, subcutaneously-delivered RNAi therapeutic product candidate which is in phase 2a clinical trials that suppresses all HBV antigens, including HBsAg expression; and AB-101, an oral PD-L1 inhibitor, which is in phase 1a/1b clinical trial that has the potential to reawaken patients' HBV-specific immune response by inhibiting PD-L1. The company has licensing agreement with Alnylam Pharmaceuticals, Inc. to develop and commercialize products with LNP delivery technology. The company was formerly known as Tekmira Pharmaceuticals Corporation and changed its name to Arbutus Biopharma Corporation in July 2015. Arbutus Biopharma Corporation was incorporated in 2005 is headquartered in Warminster, Pennsylvania.

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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.