Ultralife Stock Analysis

Ultralife Stock Analysis Notes

About 75.0% of the company outstanding shares are owned by institutional investors. The company has Price to Book (P/B) ratio of 0.69. Historically many companies with similar price-to-book (P/B) ratio do better than the market in the long run. Ultralife had not issued any dividends in recent years. Ultralife Corporation, together with its subsidiaries, designs, manufactures, installs, and maintains power, and communication and electronics systems worldwide. The company was incorporated in 1990 and is headquartered in Newark, New York. Ultralife Corp operates under Electrical Equipment Parts classification in the United States and is traded on NASDAQ Exchange. It employs 560 people. For more information please call Michael Manna at 315 332 7100 or visit https://www.ultralifecorporation.com.

Ultralife Investment Alerts

Ultralife Upcoming and Recent Events

Ultralife Market Capitalization

The company currently falls under 'Small-Cap' category with a current market capitalization of 132.82 M.

Ultralife Profitablity

The company has Profit Margin (PM) of 0.05 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.01 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.01.

Technical Drivers

As of the 20th of March, Ultralife has the Risk Adjusted Performance of (0.13), variance of 6.66, and Coefficient Of Variation of (670.00). In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Ultralife, as well as the relationship between them.

Ultralife Price Movement Analysis

Ultralife Insider Trading Activities

Ultralife Outstanding Bonds

Ultralife Predictive Daily Indicators

Ultralife Forecast Models

Ultralife's time-series forecasting models are one of many Ultralife's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary Ultralife's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

Stock analysis is the technique used by a trader or investor to examine and evaluate how Ultralife prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling Ultralife shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as Ultralife. By using and applying Ultralife Stock analysis, traders can create a robust methodology for identifying Ultralife entry and exit points for their positions.

When running Ultralife's price analysis, check to measure Ultralife's market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Ultralife is operating at the current time. Most of Ultralife's value examination focuses on studying past and present price action to predict the probability of Ultralife's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Ultralife's price. Additionally, you may evaluate how the addition of Ultralife to your portfolios can decrease your overall portfolio volatility.