Sofi Technologies Stock Analysis

SoFi Stock Analysis Notes

About 48.0% of the company shares are owned by institutional investors. The book value of SoFi Technologies was at this time reported as 6.05. The company had not issued any dividends in recent years. SoFi Technologies, Inc. provides digital financial services. The company was founded in 2011 and is headquartered in San Francisco, California. Sofi Technologies operates under Credit Services classification in the United States and is traded on NASDAQ Exchange. It employs 2500 people. To find out more about SoFi Technologies contact Anthony Noto at 855 456 7634 or learn more at https://www.sofi.com.

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SoFi Technologies Environmental, Social, and Governance (ESG) Scores

SoFi Market Capitalization

The company currently falls under 'Large-Cap' category with a current market capitalization of 24.11 B.

SoFi Profitablity

The company has Profit Margin (PM) of 0.17 %, 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 0.1 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.1.

Management Efficiency

SoFi Technologies has return on total asset (ROA) of 0.014 % which means that it generated a profit of $0.014 on every $100 spent on assets. This is way below average. Similarly, it shows a return on stockholder's equity (ROE) of 0.0751 %, meaning that it created $0.0751 on every $100 dollars invested by stockholders. SoFi Technologies' management efficiency ratios could be used to measure how well SoFi Technologies manages its routine affairs as well as how well it operates its assets and liabilities. The SoFi Technologies' current Return On Tangible Assets is estimated to increase to 0.02. The SoFi Technologies' current Return On Capital Employed is estimated to increase to 0.01. As of now, SoFi Technologies' Non Currrent Assets Other are decreasing as compared to previous years. The SoFi Technologies' current Other Assets is estimated to increase to about 28.2 B, while Debt To Assets are projected to decrease to 0.08.

Technical Drivers

As of the 20th of July, SoFi Technologies has the coefficient of variation of 257.96, and Risk Adjusted Performance of 0.3688. In relation to fundamental indicators, the technical analysis model makes it possible for you to check existing technical drivers of SoFi Technologies, as well as the relationship between them.

SoFi Technologies Price Movement Analysis

SoFi Technologies Insider Trading Activities

SoFi Technologies Outstanding Bonds

SoFi Technologies Predictive Daily Indicators

SoFi Technologies Corporate Filings

SoFi Technologies Forecast Models

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

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

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