Regions Financial Stock Analysis

Regions Stock Analysis Notes

About 88.0% of the company shares are owned by institutional investors. The company has price-to-book ratio of 1.43. Typically companies with comparable Price to Book (P/B) are able to outperform the market in the long run. Regions Financial has Price/Earnings To Growth (PEG) ratio of 1.2. The entity last dividend was issued on the 1st of December 2025. The firm had 12346:10000 split on the 1st of July 2004. Regions Financial Corporation, a financial holding company, provides banking and bank-related services to individual and corporate customers. Regions Financial Corporation was founded in 1971 and is headquartered in Birmingham, Alabama. Regions Financial operates under BanksRegional classification in the United States and is traded on New York Stock Exchange. It employs 19950 people. To find out more about Regions Financial contact the company at 800 734 4667 or learn more at https://www.regions.com.

Regions Financial Investment Alerts

Regions Largest EPS Surprises

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

Regions Financial Thematic Classifications

Regions Stock Institutional Investors

Note, although Regions Financial's institutional investors appear to be way more sophisticated than retail investors, it remains unclear if professional active investment managers can reliably enhance risk-adjusted returns by an amount that exceeds fees and expenses.

Regions Market Capitalization

The company currently falls under 'Large-Cap' category with a market capitalization of 26.16 B.

Regions Profitablity

The company has Net Profit Margin (PM) of 0.31 %, which suggests that even a small decline in it sales will erase profits and may result in a net loss, or a negative profit margin. This is way below average. Likewise, it shows Net Operating Margin (NOM) of 0.47 %, which signifies that for every $100 of sales, it has a net operating income of $0.47.

Management Efficiency

Regions Financial has Return on Asset (ROA) of 0.0136 % which means that for every $100 of assets, it generated a profit of $0.0136. This is way below average. Likewise, it shows a return on total equity (ROE) of 0.1165 %, which means that it produced $0.1165 on every 100 dollars invested by current stockholders. Regions Financial's management efficiency ratios could be used to measure how well Regions Financial manages its routine affairs as well as how well it operates its assets and liabilities. The current Return On Tangible Assets is estimated to decrease to 0.01. The current Return On Capital Employed is estimated to decrease to 0.09. At this time, Regions Financial's Intangibles To Total Assets are most likely to slightly decrease in the upcoming years. The Regions Financial's current Asset Turnover is estimated to increase to 0.07, while Non Current Assets Total are projected to decrease to roughly 68.1 B.

Technical Drivers

As of the 3rd of February, Regions Financial holds the Coefficient Of Variation of 400.98, semi deviation of 0.8274, and Risk Adjusted Performance of 0.1879. Compared to fundamental indicators, the technical analysis model allows you to check existing technical drivers of Regions Financial, as well as the relationship between them. Please check Regions Financial downside deviation, jensen alpha, as well as the relationship between the Jensen Alpha and downside variance to decide if Regions Financial is priced some-what accurately, providing market reflects its current price of 29.83 per share. Given that Regions Financial has jensen alpha of 0.2893, we recommend you to check out Regions Financial's recent market performance to make sure the company can sustain itself at a future point.

Regions Financial Price Movement Analysis

Regions Financial Insider Trading Activities

Regions Financial Outstanding Bonds

Regions Financial Predictive Daily Indicators

Regions Financial Corporate Filings

Regions Financial Forecast Models

Regions Financial's time-series forecasting models are one of many Regions 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 Regions 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.

Regions Financial Debt to Cash Allocation

Regions Financial reports 4.88 B of total liabilities with total debt to equity ratio (D/E) of 6.48, which implies that the company may not be able to produce enough cash to satisfy its debt commitments. That said, strategic use of leverage may enable Regions to fund expansion initiatives and generate superior returns.

Regions Financial Common Stock Shares Outstanding Over Time

Regions Financial Assets Financed by Debt

The debt-to-assets ratio shows the degree to which Regions Financial uses debt to finance its assets. It includes both long-term and short-term borrowings maturing within one year. It also includes both tangible and intangible assets, such as goodwill.

Regions Financial Debt Ratio

2.91

It seems as most of the Regions Financial's assets are financed through equity. Typically, companies with high debt-to-asset ratios are said to be highly leveraged. The higher the ratio, the greater risk will be associated with the Regions Financial's operation. In addition, a high debt-to-assets ratio may indicate a low borrowing capacity of Regions Financial, which in turn will lower the firm's financial flexibility.

Regions Financial Corporate Bonds Issued

Regions Short Long Term Debt Total

Stock analysis is the technique used by a trader or investor to examine and evaluate how Regions 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 Regions 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 Regions Financial. By using and applying Regions Stock analysis, traders can create a robust methodology for identifying Regions entry and exit points for their positions.

We track the performance of the top 100 financial experts across various large and mid-size financial boutiques. Regions analyst recommendations are determined by taking all analyst recommendations and averaging them as Strong Buy, Buy, Hold, Strong Sell or Sell. There is no one specific way to measure analysis performance other than comparing it to the past results via a very sophisticated attribution analysis. Regions analyst consensus and target price projections should be used in combination with other traditional techniques such as stock price forecasting, technical analysis, earnings estimate, and various momentum models.

Regions Financial stock analysis indicators help investors evaluate how Regions Financial stock reacts to ongoing and evolving market conditions. The investors can use it to make informed decisions about market timing and determine when trading Regions Financial shares will generate the highest return on investment. By understating and applying Regions Financial stock analysis, traders can identify Regions Financial position entry and exit signals to maximize returns.

When running Regions Financial's price analysis, check to measure Regions 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 Regions Financial is operating at the current time. Most of Regions Financial's value examination focuses on studying past and present price action to predict the probability of Regions 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 Regions Financial's price. Additionally, you may evaluate how the addition of Regions Financial to your portfolios can decrease your overall portfolio volatility.