Triumph Group Stock Analysis

Triumph Stock Analysis Notes

About 98.0% of the company shares are owned by institutional investors. The company has Price/Earnings To Growth (PEG) ratio of 0.2. Triumph Group last dividend was issued on the 28th of February 2020. The entity had 2:1 split on the 15th of July 2011. Triumph Group, Inc. designs, engineers, manufactures, repairs, overhauls, and distributes aerostructures, aircraft components, accessories, subassemblies, and systems worldwide. Triumph Group, Inc. was incorporated in 1993 and is headquartered in Berwyn, Pennsylvania. Triumph operates under Aerospace Defense classification in the United States and is traded on New York Stock Exchange. It employs 5340 people. To find out more about Triumph Group contact Heather Moore at 610 251 1000 or learn more at https://www.triumphgroup.com.

Triumph Group Investment Alerts

Triumph Group Upcoming and Recent Events

Triumph Thematic Classifications

Triumph Market Capitalization

The company currently falls under 'Mid-Cap' category with a total capitalization of 2 B.

Triumph Profitablity

The company has Net Profit Margin of 0.03 %, which implies that it may need a different competitive strategy as even a very small decline in it revenue may erase profits and result in a net loss. This is way below average. In the same way, it shows Net Operating Margin of 0.15 %, which entails that for every 100 dollars of revenue, it generated $0.15 of operating income.

Technical Drivers

As of the 29th of June, Triumph has the Risk Adjusted Performance of 0.0691, coefficient of variation of 1835.26, and Semi Deviation of 0.6051. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Triumph Group, as well as the relationship between them.

Triumph Group Price Movement Analysis

Triumph Group Insider Trading Activities

Triumph Outstanding Bonds

Triumph Predictive Daily Indicators

Triumph Forecast Models

Triumph's time-series forecasting models are one of many Triumph'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 Triumph'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 Triumph 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 Triumph 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 Triumph. By using and applying Triumph Stock analysis, traders can create a robust methodology for identifying Triumph entry and exit points for their positions.

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