Beta Bionics, Inc (BBNX) Fair Value & Analysis
Healthcare · US · Market cap $607M
Analysis
Beta Bionics, Inc (BBNX) currently trades at $13.67, while our model-based Fair Value estimate is $5.09 — implying the stock looks roughly 62.8% overvalued today. We read business quality at 91/100 (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
Beta Bionics, Inc., a commercial-stage medical device company, engages in the design, development, and commercialization of solutions to enhance the health and quality of life of insulin-requiring people with diabetes. It offers iLet Bionic Pancreas, an insulin delivery device for the treatment of type 1 diabetes in adults and children six years of age and older. The company is also developing Patch Pump, an insulin pump that is designed to adhere directly to the skin and administer insulin without the need for tubing; Bihormonal iLet, which combines automated delivery of insulin and glucagon; and iLet to treat people with insulin-dependent type-2 diabetes. It has collaboration and license agreement with Xeris Pharmaceuticals, Inc. (Xeris) to develop and commercialize a pump-compatible glucagon formulation; and development and commercialization agreement with Abbott Diabetes Care Inc. to develop and commercialize an automated insulin delivery system. The company was incorporated 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.