Tandem Diabetes Care, Inc (TNDM) Fair Value & Analysis
Healthcare · US · Market cap $988M
Analysis
Tandem Diabetes Care, Inc (TNDM) currently trades at $15.02, while our model-based Fair Value estimate is $10.19 — implying the stock looks roughly 32.2% 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
Tandem Diabetes Care, Inc. designs, develops, and commercializes technology solutions for people living with diabetes in the United States and internationally. It's flagship products are the t:slim X2 insulin delivery system; and Tandem Mobi insulin pump, an automated insulin delivery system. The company also sells single-use products, including cartridges for storing and delivering insulin, and infusion sets that connect the insulin pump to the user's body. In addition, it offers Tandem Device Updater used to update the pump software from a personal computer; Tandem Source, a web-based data management platform, which provides a visual way to display diabetes therapy management data from the pumps, integrated CGMs; and Sugarmate, a mobile app used to help people visualize diabetes therapy data. The company has collaboration agreement with the University of Virginia Center for Diabetes Technology for research and development of fully automated closed-loop insulin delivery systems. Th…
Open the full interactive analysis →
Similar stocks
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.