| 6B0 Stock | | | 14.07 0.62 4.61% |
Altman Z Score is one of the simplest fundamental models to determine how likely your company is to fail. The module uses available fundamental data of a given equity to approximate the Altman Z score. Altman Z Score is determined by evaluating five fundamental price points available from the company's current public disclosure documents. Check out
Trending Equities to better understand how to build diversified portfolios, which includes a position in SOFI TECHNOLOGIES. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in board of governors.
For more detail on how to invest in SOFI Stock please use our
How to Invest in SOFI TECHNOLOGIES guide.
SOFI TECHNOLOGIES Company Z Score Analysis
SOFI TECHNOLOGIES's Z-Score is a simple linear, multi-factor model that measures the financial health and economic stability of a company. The score is used to predict the probability of a firm going into bankruptcy within next 24 months or two fiscal years from the day stated on the accounting statements used to calculate it. The model uses five fundamental business ratios that are weighted according to algorithm of Professor Edward Altman who developed it in the late 1960s at New York University..
| First Factor | = | 1.2 * ( | Working Capital | / | Total Assets ) |
|
| Second Factor | = | 1.4 * ( | Retained Earnings | / | Total Assets ) |
|
| Thrid Factor | = | 3.3 * ( | EBITAD | / | Total Assets ) |
|
| Fouth Factor | = | 0.6 * ( | Market Value of Equity | / | Total Liabilities ) |
|
| Fifth Factor | = | 0.99 * ( | Revenue | / | Total Assets ) |
|
To calculate a Z-Score, one would need to know a company's current working capital, its total assets and liabilities, and the amount of its latest earnings as well as earnings before interest and tax. Z-Scores can be used to compare the odds of bankruptcy of companies in a similar line of business or firms operating in the same industry. Companies with Z-Scores above 3.1 are generally considered to be stable and healthy with a low probability of bankruptcy. Scores that fall between 1.8 and 3.1 lie in a so-called 'grey area,' with scores of less than 1 indicating the highest probability of distress. Z Score is a used widely measure by financial auditors, accountants, money managers, loan processors, wealth advisers, and day traders. In the last 25 years, many financial models that utilize z-scores proved it to be successful as a predictor of corporate bankruptcy.
In accordance with the company's disclosures, SOFI TECHNOLOGIES has a Z Score of 0.0. This indicator is about the same for the average (which is currently at 0.0) sector and about the same as Z Score (which currently averages 0.0) industry. This indicator is about the same for all Germany stocks average (which is currently at 0.0).
SOFI Z Score Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses SOFI TECHNOLOGIES's direct or indirect competition against its Z Score to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of SOFI TECHNOLOGIES could also be used in its relative valuation, which is a method of valuing SOFI TECHNOLOGIES by comparing valuation metrics of similar companies.
SOFI TECHNOLOGIES is currently under evaluation in z score category among its peers.
SOFI Fundamentals
About SOFI TECHNOLOGIES Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze SOFI TECHNOLOGIES's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of SOFI TECHNOLOGIES using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of SOFI TECHNOLOGIES based on its fundamental data. In general, a quantitative approach, as applied to this company, focuses on analyzing
financial statements comparatively, whereas a qaualitative method uses data that is important to a company's growth but cannot be measured and presented in a numerical way.
Please read more on our
fundamental analysis page.
Currently Active Assets on Macroaxis
Additional Information and Resources on Investing in SOFI Stock
When determining whether SOFI TECHNOLOGIES offers a strong return on investment in its stock, a comprehensive analysis is essential. The process typically begins with a thorough review of SOFI TECHNOLOGIES's
financial statements, including income statements, balance sheets, and cash flow statements, to assess its
financial health. Key financial ratios are used to gauge profitability, efficiency, and growth potential of Sofi Technologies Stock.
Outlined below are crucial reports that will aid in making a well-informed decision on Sofi Technologies Stock: Check out
Trending Equities to better understand how to build diversified portfolios, which includes a position in SOFI TECHNOLOGIES. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as
signals in board of governors.
For more detail on how to invest in SOFI Stock please use our
How to Invest in SOFI TECHNOLOGIES guide.
You can also try the
Positions Ratings module to determine portfolio positions ratings based on digital equity recommendations. Macroaxis instant position ratings are based on combination of fundamental analysis and risk-adjusted market performance.
Please note, there is a significant difference between SOFI TECHNOLOGIES's value and its price as these two are different measures arrived at by different means. Investors typically determine if SOFI TECHNOLOGIES is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, SOFI TECHNOLOGIES's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.