-
1 Comment
Senseonics Holdings, Inc is currently in a long term uptrend where the price is trading 71.1% above its 200 day moving average.
From a valuation standpoint, the stock is 91.2% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 117.4.
Senseonics Holdings, Inc's total revenue sank by 56.6% to $4M since the same quarter in the previous year.
Its net income has dropped by 185.4% to $-102M since the same quarter in the previous year.
Finally, its free cash flow grew by 76.2% to $-8M since the same quarter in the previous year.
Based on the above factors, Senseonics Holdings, Inc gets an overall score of 3/5.
Industry | Medical Devices |
---|---|
Exchange | NYSE MKT |
CurrencyCode | USD |
ISIN | US81727U1051 |
Sector | Healthcare |
Market Cap | 465M |
---|---|
PE Ratio | None |
Target Price | 2.1667 |
Beta | 1.06 |
Dividend Yield | None |
Senseonics Holdings, Inc., a commercial-stage medical technology company, focuses on development and manufacturing of continuous glucose monitoring (CGM) systems for people with diabetes in the United States and internationally. The company's products include Eversense, Eversense XL, Eversense E3, and Eversense 365, which are implantable CGM systems to measure glucose levels in people with diabetes through an under-the-skin sensor, a removable and rechargeable smart transmitter, and an app for real-time diabetes monitoring and management. It serves healthcare providers and patients through a network of distributors and strategic fulfillment partners. The company was founded in 1996 and is headquartered in Germantown, Maryland.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for SENS using our backtest tool. PyInvesting provides the backtesting software for you to backtest your investment strategy. Our backtest software is written using Python code and allows you to backtest stock, backtest etf, backtest options, backtest crypto and backtest forex online. Our backtesting Python framework is highly robust and gives you a realistic simulation of how your strategy would have performed in the past using backtest data.
© PyInvesting 2025