| INFY Stock | | | 1,858 2.45 0.13% |
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
Risk vs Return Analysis to better understand how to build diversified portfolios, which includes a position in Infosys Limited. 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.
At this time, Infosys'
Capital Surpluse is comparatively stable compared to the past year.
Net Invested Capital is likely to gain to about 10.7
B in 2024, whereas
Capital Stock is likely to drop slightly above 264.1
M in 2024. At this time, Infosys'
Total Other Income Expense Net is comparatively stable compared to the past year.
Income Tax Expense is likely to gain to about 1.2
B in 2024, whereas
Selling General Administrative is likely to drop slightly above 532
M in 2024.
Infosys Limited Company Z Score Analysis
Infosys' 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.
According to the company's disclosures, Infosys Limited has a Z Score of 0.0. This indicator is about the same for the IT Services 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 India stocks average (which is currently at 0.0).
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Infosys ESG Sustainability
Some studies have found that companies with high sustainability scores are getting higher valuations than competitors with lower social-engagement activities. While most ESG disclosures are voluntary and do not directly affect the long term financial condition, Infosys' sustainability indicators can be used to identify proper investment strategies using environmental, social, and governance scores that are crucial to Infosys' managers, analysts, and investors. Infosys Fundamentals
About Infosys Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Infosys Limited's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Infosys using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at
the intrinsic value of Infosys Limited 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.
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When running Infosys' price analysis, check to
measure Infosys' 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 Infosys is operating at the current time. Most of Infosys' value examination focuses on studying past and present price action to
predict the probability of Infosys' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Infosys' price. Additionally, you may evaluate how the addition of Infosys to your portfolios can decrease your overall portfolio volatility.