-
1 Comment
Neuronetics, Inc is currently in a long term uptrend where the price is trading 18.5% above its 200 day moving average.
From a valuation standpoint, the stock is 99.6% cheaper than other stocks from the Healthcare sector with a price to sales ratio of 4.7.
Neuronetics, Inc's total revenue sank by 10.2% to $16M since the same quarter in the previous year.
Its net income has increased by 51.6% to $-4M since the same quarter in the previous year.
Finally, its free cash flow grew by 73.1% to $-2M since the same quarter in the previous year.
Based on the above factors, Neuronetics, Inc gets an overall score of 4/5.
Exchange | NASDAQ |
---|---|
CurrencyCode | USD |
ISIN | US64131A1051 |
Sector | Healthcare |
Industry | Diagnostics & Research |
Market Cap | 279M |
---|---|
PE Ratio | None |
Target Price | 6.8333 |
Beta | 1.98 |
Dividend Yield | None |
Neuronetics, Inc. engages in providing in office treatments for patients with neurohealth disorders in the United States and internationally. The company offers NeuroStar Advanced Therapy System, a non-invasive and non-systemic office-based treatment to treat adult patients with major depressive disorder. Its NeuroStar Advanced Therapy System uses transcranial magnetic stimulation to create a pulsed, MRI-strength magnetic field that induces electrical currents designed to stimulate specific areas of the brain associated with mood. The company sells its products through its sales and customer support team to psychiatrists. The company was incorporated in 2001 and is headquartered in Malvern, Pennsylvania.
Learn MoreHere's how to backtest a trading strategy or backtest a portfolio for STIM 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