Brii Biosciences Limited (BRIBF) Fair Value & Analysis
Healthcare · US · Market cap $108M
Fair value as of: Jun 26, 2026
Analysis
Brii Biosciences Limited (BRIBF) currently trades at $0.1495, while our model-based Fair Value estimate is $0.1559 — implying the stock looks roughly 4.3% undervalued today. We read business quality at 92/100 (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
Brii Biosciences Limited focuses on developing therapies for the treatment of infectious and central nervous system diseases in China and the United States. The company develops BRII-179, a recombinant protein-based HBV immunotherapeutic candidate; Elebsiran, an investigational subcutaneously administered HBV-targeting siRNA; and Tobevibart, an investigational subcutaneously administered HBV-neutralizing monoclonal antibody which are in Phase 2 of the development stage for functional cure of HBV for Hepatitis B; and BRII-732 that has completed Phase 1 clinical trial and BRII-753, which is in c for the treatment of HIV. It also develops Soralimixinfor the treatment of multi-drug resistant or extensive drug resistant (MDR/XDR) gram-negative bacterial infections, which has completed Phase 1; and Epetraborole for oral treatment for patients with treatment-refractory mycobacterium avium complex (MAC) lung disease. Brii Biosciences Limited was incorporated in 2017 and is headquartered in …
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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.