Meta Financial Group Stock Analysis

Meta Stock Analysis Notes

About 95.0% of the company shares are held by institutions such as insurance companies. The book value of Meta Financial was currently reported as 35.35. The company recorded earning per share (EPS) of 7.39. Meta Financial Group last dividend was issued on the 13th of June 2025. The entity had 3:1 split on the 5th of October 2018. Pathward Financial, Inc. operates as the holding company for Pathward, National Association that provides various banking products and services in the United States. Pathward Financial, Inc. was founded in 1954 and is headquartered in Sioux Falls, South Dakota. Pathward Financial operates under BanksRegional classification in the United States and is traded on NASDAQ Exchange. It employs 1121 people. For more info on Meta Financial Group please contact Brett Pharr at 877 497 7497 or go to https://www.pathwardfinancial.com.

Meta Financial Group Investment Alerts

Meta Financial Group Upcoming and Recent Events

Meta Largest EPS Surprises

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

Meta Stock Institutional Investors

Note, although Meta 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.

Meta Market Capitalization

The company currently falls under 'Mid-Cap' category with a current market capitalization of 1.75 B.

Meta Profitablity

The company has Profit Margin (PM) of 0.25 %, 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 0.4 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.4.

Management Efficiency

Meta Financial Group has return on total asset (ROA) of 0.0252 % which means that it generated a profit of $0.0252 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of 0.232 %, meaning that it created $0.232 on every $100 dollars invested by stockholders. Meta Financial's management efficiency ratios could be used to measure how well Meta Financial manages its routine affairs as well as how well it operates its assets and liabilities. As of now, Meta Financial's Return On Tangible Assets are increasing as compared to previous years. The Meta Financial's current Return On Assets is estimated to increase to 0.02, while Return On Capital Employed is projected to decrease to 0.03. As of now, Meta Financial's Other Current Assets are increasing as compared to previous years. The Meta Financial's current Earning Assets is estimated to increase to about 1.6 B, while Other Assets are projected to decrease to under 2.1 B.

Technical Drivers

As of the 17th of June 2025, Meta Financial secures the Mean Deviation of 1.32, risk adjusted performance of 0.0918, and Downside Deviation of 2.07. Meta Financial Group technical analysis lets you operate historical price patterns with an objective to determine a pattern that forecasts the direction of the firm's future prices.

Meta Financial Group Price Movement Analysis

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Hilbert Transform Instantaneous Trendline Hilbert Transform Instantaneous Trendline Midpoint Price over period Weighted Moving Average Parabolic SAR Extended Triple Exponential Moving Average T3 MidPoint over period MESA Adaptive Moving Average Kaufman Adaptive Moving Average All Moving Average Triangular Moving Average MAVP Bollinger Bands Exponential Moving Average Simple Moving Average Parabolic SAR Triple Exponential Moving Average Double Exponential Moving Average

Meta Financial Group Insider Trading Activities

Meta Financial Outstanding Bonds

Meta Financial Predictive Daily Indicators

Meta Financial Corporate Filings

Meta Financial Forecast Models

Meta Financial's time-series forecasting models are one of many Meta 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 Meta 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 Meta 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 Meta 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 Meta Financial. By using and applying Meta Stock analysis, traders can create a robust methodology for identifying Meta 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. Meta 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. Meta 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.

Meta Financial Group stock analysis indicators help investors evaluate how Meta 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 Meta Financial shares will generate the highest return on investment. By understating and applying Meta Financial stock analysis, traders can identify Meta Financial position entry and exit signals to maximize returns.

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