Alpha Networks Stock Z Score
| 3380 Stock | TWD 32.85 0.70 2.18% |
Alpha |
Alpha Networks Company Z Score Analysis
Alpha Networks' 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..
Current Alpha Networks Z Score | 47.8 |
Most of Alpha Networks' fundamental indicators, such as Z Score, are part of a valuation analysis module that helps investors searching for stocks that are currently trading at higher or lower prices than their real value. If the real value is higher than the market price, Alpha Networks is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
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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.
| Competition |
In accordance with the company's disclosures, Alpha Networks has a Z Score of 47.8. This is 255.39% higher than that of the Communications Equipment sector and 47.9% higher than that of the Information Technology industry. The z score for all Taiwan stocks is notably lower than that of the firm.
Alpha Z Score Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Alpha Networks' 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 Alpha Networks could also be used in its relative valuation, which is a method of valuing Alpha Networks by comparing valuation metrics of similar companies.Alpha Networks is currently under evaluation in z score category among related companies.
Alpha Fundamentals
| Return On Equity | 0.0763 | |||
| Return On Asset | 0.0324 | |||
| Profit Margin | 0.03 % | |||
| Operating Margin | 0.04 % | |||
| Current Valuation | 19.17 B | |||
| Shares Outstanding | 541.72 M | |||
| Shares Owned By Insiders | 64.77 % | |||
| Shares Owned By Institutions | 3.33 % | |||
| Price To Earning | 60.24 X | |||
| Price To Book | 1.63 X | |||
| Price To Sales | 0.53 X | |||
| Revenue | 27.86 B | |||
| Gross Profit | 4.59 B | |||
| EBITDA | 1.54 B | |||
| Net Income | 433.89 M | |||
| Cash And Equivalents | 5.68 B | |||
| Cash Per Share | 10.80 X | |||
| Total Debt | 210.85 M | |||
| Debt To Equity | 2.10 % | |||
| Current Ratio | 3.12 X | |||
| Book Value Per Share | 19.04 X | |||
| Cash Flow From Operations | (899.98 M) | |||
| Earnings Per Share | 1.44 X | |||
| Price To Earnings To Growth | 1.15 X | |||
| Target Price | 18.7 | |||
| Number Of Employees | 27 | |||
| Beta | 0.98 | |||
| Market Capitalization | 16.63 B | |||
| Total Asset | 24.73 B | |||
| Retained Earnings | 2.01 B | |||
| Working Capital | 6.21 B | |||
| Current Asset | 11.15 B | |||
| Current Liabilities | 4.93 B | |||
| Z Score | 47.8 | |||
| Annual Yield | 0.03 % | |||
| Five Year Return | 5.58 % | |||
| Net Asset | 24.73 B | |||
| Last Dividend Paid | 0.8 |
About Alpha Networks Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Alpha Networks's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Alpha Networks using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Alpha 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.
Please read more on our fundamental analysis page.
Thematic Opportunities
Explore Investment Opportunities
Check out Trending Equities to better understand how to build diversified portfolios, which includes a position in Alpha Networks. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in board of governors. You can also try the Analyst Advice module to analyst recommendations and target price estimates broken down by several categories.
Complementary Tools for Alpha Stock analysis
When running Alpha Networks' price analysis, check to measure Alpha Networks' 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 Alpha Networks is operating at the current time. Most of Alpha Networks' value examination focuses on studying past and present price action to predict the probability of Alpha Networks' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Alpha Networks' price. Additionally, you may evaluate how the addition of Alpha Networks to your portfolios can decrease your overall portfolio volatility.
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