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 Gohigh Data Networks. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in nation.
Gohigh
Z Score
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At present, Gohigh Data's Net Invested Capital is projected to decrease significantly based on the last few years of reporting. The current year's Net Working Capital is expected to grow to about 2.3 B, whereas Capital Stock is forecasted to decline to about 1.1 B. At present, Gohigh Data's Interest Expense is projected to increase significantly based on the last few years of reporting. The current year's Selling General Administrative is expected to grow to about 154.3 M, whereas Total Revenue is forecasted to decline to about 4.7 B.
Gohigh Data Networks Company Z Score Analysis
Gohigh Data'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..
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, Gohigh Data Networks has a Z Score of 0.0. This indicator is about the same for the Communications Equipment average (which is currently at 0.0) sector and about the same as Information Technology (which currently averages 0.0) industry. This indicator is about the same for all China stocks average (which is currently at 0.0).
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The Macroaxis Fundamental Analysis modules help investors analyze Gohigh Data Networks's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Gohigh Data using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Gohigh Data Networks 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.
Analyzing currently trending equities could be an opportunity to develop a better portfolio based on different market momentums that they can trigger. Utilizing the top trending stocks is also useful when creating a market-neutral strategy or pair trading technique involving a short or a long position in a currently trending equity.
Gohigh Data financial ratios help investors to determine whether Gohigh Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Gohigh with respect to the benefits of owning Gohigh Data security.