Telecom Italia Spa Stock Z Score
TIIAYDelisted Stock | USD 3.27 0.02 0.61% |
Telecom |
Telecom Italia SpA Company Z Score Analysis
Telecom Italia'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..
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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.
CompetitionBased on the company's disclosures, Telecom Italia SpA has a Z Score of 0.0. This is 100.0% lower than that of the Communication Services sector and 100.0% lower than that of the Telecom Services industry. The z score for all United States stocks is 100.0% higher than that of the company.
Telecom Z Score Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Telecom Italia's direct or indirect competition against its Z Score to detect undervalued stocks with similar characteristics or determine the pink sheets which would be a good addition to a portfolio. Peer analysis of Telecom Italia could also be used in its relative valuation, which is a method of valuing Telecom Italia by comparing valuation metrics of similar companies.Telecom Italia is currently under evaluation in z score category among related companies.
Telecom Fundamentals
Return On Equity | -0.45 | ||||
Return On Asset | 0.0113 | ||||
Profit Margin | (0.73) % | ||||
Operating Margin | 0.08 % | ||||
Current Valuation | 4.75 B | ||||
Shares Outstanding | 2.12 B | ||||
Shares Owned By Institutions | 0.17 % | ||||
Number Of Shares Shorted | 247.46 K | ||||
Price To Earning | 0.65 X | ||||
Price To Book | 0.29 X | ||||
Price To Sales | 0.30 X | ||||
Revenue | 15.32 B | ||||
Gross Profit | 7.54 B | ||||
EBITDA | 1.16 B | ||||
Net Income | (8.65 B) | ||||
Cash And Equivalents | 4.05 B | ||||
Cash Per Share | 1.91 X | ||||
Total Debt | 21.78 B | ||||
Debt To Equity | 1.38 % | ||||
Current Ratio | 0.84 X | ||||
Book Value Per Share | 8.20 X | ||||
Cash Flow From Operations | 4.34 B | ||||
Short Ratio | 1.07 X | ||||
Earnings Per Share | (4.08) X | ||||
Price To Earnings To Growth | 0.50 X | ||||
Target Price | 3.92 | ||||
Number Of Employees | 51.89 K | ||||
Beta | 1.1 | ||||
Market Capitalization | 6.8 B | ||||
Total Asset | 69.19 B | ||||
Annual Yield | 0.05 % | ||||
Net Asset | 69.19 B |
About Telecom Italia Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Telecom Italia SpA's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Telecom Italia using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Telecom Italia SpA 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.
Some investors attempt to determine whether the market's mood is bullish or bearish by monitoring changes in market sentiment. Unlike more traditional methods such as technical analysis, investor sentiment usually refers to the aggregate attitude towards Telecom Italia in the overall investment community. So, suppose investors can accurately measure the market's sentiment. In that case, they can use it for their benefit. For example, some tools to gauge market sentiment could be utilized using contrarian indexes, Telecom Italia's short interest history, or implied volatility extrapolated from Telecom Italia options trading.
Currently Active Assets on Macroaxis
Check out World Market Map to better understand how to build diversified portfolios. Also, note that the market value of any company could be tightly coupled with the direction of predictive economic indicators such as signals in nation. Note that the Telecom Italia SpA information on this page should be used as a complementary analysis to other Telecom Italia's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Technical Analysis module to check basic technical indicators and analysis based on most latest market data.
Other Consideration for investing in Telecom Pink Sheet
If you are still planning to invest in Telecom Italia SpA check if it may still be traded through OTC markets such as Pink Sheets or OTC Bulletin Board. You may also purchase it directly from the company, but this is not always possible and may require contacting the company directly. Please note that delisted stocks are often considered to be more risky investments, as they are no longer subject to the same regulatory and reporting requirements as listed stocks. Therefore, it is essential to carefully research the Telecom Italia's history and understand the potential risks before investing.
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