Niit Learning Systems Stock Probability Of Bankruptcy
| NIITMTS Stock | 470.10 4.45 0.96% |
NIIT | Probability Of Bankruptcy |
NIIT LEARNING SYSTEMS Company probability of financial unrest Analysis
NIIT LEARNING's Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.
More About Probability Of Bankruptcy | All Equity Analysis
Probability Of Bankruptcy | = | Normalized | | Z-Score |
Current NIIT LEARNING Probability Of Bankruptcy | Less than 1% |
Most of NIIT LEARNING's fundamental indicators, such as Probability Of Bankruptcy, 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, NIIT LEARNING SYSTEMS is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of NIIT LEARNING probability of bankruptcy is based on Altman Z-Score and Piotroski F-Score, but not limited to these measures. To be applied to a broader range of industries and markets, we use several other techniques to enhance the accuracy of predicting NIIT LEARNING odds of financial distress. These include financial statement analysis, different types of price predictions, earning estimates, analysis consensus, and basic intrinsic valuation. Please use the options below to get a better understanding of different measures that drive the calculation of NIIT LEARNING SYSTEMS financial health.
The Probability of Bankruptcy SHOULD NOT be confused with the actual chance of a company to file for chapter 7, 11, 12, or 13 bankruptcy protection. Macroaxis simply defines Financial Distress as an operational condition where a company is having difficulty meeting its current financial obligations towards its creditors or delivering on the expectations of its investors. Macroaxis derives these conditions daily from both public financial statements as well as analysis of stock prices reacting to market conditions or economic downturns, including short-term and long-term historical volatility. Other factors taken into account include analysis of liquidity, revenue patterns, R&D expenses, and commitments, as well as public headlines and social sentiment.
| Competition |
Based on the latest financial disclosure, NIIT LEARNING SYSTEMS has a Probability Of Bankruptcy of 1.0%. This is much higher than that of the Diversified Consumer Services sector and significantly higher than that of the Consumer Discretionary industry. The probability of bankruptcy for all India stocks is notably lower than that of the firm.
NIIT Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses NIIT LEARNING's direct or indirect competition against its Probability Of Bankruptcy to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of NIIT LEARNING could also be used in its relative valuation, which is a method of valuing NIIT LEARNING by comparing valuation metrics of similar companies.NIIT LEARNING is currently under evaluation in probability of bankruptcy category among its peers.
NIIT Fundamentals
| Return On Equity | 0.23 | ||||
| Return On Asset | 0.1 | ||||
| Profit Margin | 0.14 % | ||||
| Operating Margin | 0.18 % | ||||
| Current Valuation | 54.3 B | ||||
| Shares Outstanding | 135.98 M | ||||
| Shares Owned By Insiders | 52.18 % | ||||
| Shares Owned By Institutions | 20.05 % | ||||
| Price To Book | 5.90 X | ||||
| Price To Sales | 3.94 X | ||||
| Revenue | 15.54 B | ||||
| Gross Profit | 6.67 B | ||||
| EBITDA | 3.72 B | ||||
| Net Income | 3.02 B | ||||
| Total Debt | 1.32 B | ||||
| Book Value Per Share | 79.75 X | ||||
| Cash Flow From Operations | 2.79 B | ||||
| Earnings Per Share | 16.22 X | ||||
| Target Price | 525.0 | ||||
| Number Of Employees | 2.4 K | ||||
| Market Capitalization | 62.81 B | ||||
| Total Asset | 20.33 B | ||||
| Retained Earnings | 8.51 B | ||||
| Annual Yield | 0.01 % | ||||
| Net Asset | 20.33 B | ||||
| Last Dividend Paid | 2.75 |
About NIIT LEARNING Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze NIIT LEARNING SYSTEMS's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of NIIT LEARNING using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of NIIT LEARNING SYSTEMS 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.
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When running NIIT LEARNING's price analysis, check to measure NIIT LEARNING's 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 NIIT LEARNING is operating at the current time. Most of NIIT LEARNING's value examination focuses on studying past and present price action to predict the probability of NIIT LEARNING's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move NIIT LEARNING's price. Additionally, you may evaluate how the addition of NIIT LEARNING to your portfolios can decrease your overall portfolio volatility.