Triumph Financial Stock Analysis

Triumph Stock Analysis Notes

The company last dividend was issued on the 13th of December 2024. To find out more about Triumph Financial contact the company at 214 365 6900 or learn more at https://www.tfin.com.

Triumph Financial Investment Alerts

Triumph Financial Environmental, Social, and Governance (ESG) Scores

Triumph Profitablity

The company has Profit Margin (PM) of 0.06 %, 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 0.12 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.12.

Management Efficiency

As of 12/15/2024, Return On Tangible Assets is likely to drop to 0.01. In addition to that, Return On Capital Employed is likely to drop to 0.01. As of 12/15/2024, Non Current Liabilities Total is likely to grow to about 4.7 B, while Liabilities And Stockholders Equity is likely to drop slightly above 3.9 B. Triumph Financial's management efficiency ratios could be used to measure how well Triumph Financial manages its routine affairs as well as how well it operates its assets and liabilities.

Technical Drivers

As of the 15th of December 2024, Triumph Financial has the Risk Adjusted Performance of 0.0736, coefficient of variation of 1029.62, and Semi Deviation of 1.02. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of Triumph Financial, as well as the relationship between them.

Triumph Financial Price Movement Analysis

Triumph Financial Insider Trading Activities

Triumph Financial Outstanding Bonds

Triumph Financial Predictive Daily Indicators

Triumph Financial Corporate Filings

Triumph Financial Forecast Models

Triumph Financial's time-series forecasting models are one of many Triumph Financial'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 Financial'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 Financial 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 Financial. 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 Financial's price analysis, check to measure Triumph Financial'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 Financial is operating at the current time. Most of Triumph Financial's value examination focuses on studying past and present price action to predict the probability of Triumph Financial'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 Financial's price. Additionally, you may evaluate how the addition of Triumph Financial to your portfolios can decrease your overall portfolio volatility.