Triton International Limited Preferred Stock Analysis

Triton Preferred Stock Analysis Notes

About 19.0% of the company shares are owned by institutional investors. The company recorded earning per share (EPS) of 8.06. Triton International last dividend was issued on the 7th of December 2022. Triton International Limited engages in the acquisition, leasing, re-leasing, and sale of various types of intermodal containers and chassis to shipping lines, and freight forwarding companies and manufacturers. The company was founded in 1980 and is based in Hamilton, Bermuda. Triton International operates under Rental Leasing Services classification in the United States and is traded on NYQ Exchange. It employs 237 people. To find out more about Triton International Limited contact Brian Sondey at 441-294-8033 or learn more at https://www.tritoninternational.com.

Triton International Thematic Classifications

Triton Profitablity

The company has Profit Margin (PM) of 0.42 %, 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 0.58 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.58.

Technical Drivers

As of the 25th of November, Triton International has the Risk Adjusted Performance of 0.0332, semi deviation of 0.5163, and Coefficient Of Variation of 1972.3. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Triton International, as well as the relationship between them.

Triton International Price Movement Analysis

Triton International Predictive Daily Indicators

Triton International Forecast Models

Triton International's time-series forecasting models are one of many Triton International's preferred 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 Triton International'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.

Preferred Stock analysis is the technique used by a trader or investor to examine and evaluate how Triton International 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 Triton shares will generate the highest return on investment. We also built our preferred 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 Preferred Stock such as Triton International. By using and applying Triton Preferred Stock analysis, traders can create a robust methodology for identifying Triton entry and exit points for their positions.

When running Triton International's price analysis, check to measure Triton International'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 Triton International is operating at the current time. Most of Triton International's value examination focuses on studying past and present price action to predict the probability of Triton International's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Triton International's price. Additionally, you may evaluate how the addition of Triton International to your portfolios can decrease your overall portfolio volatility.