NIIT LEARNING (India) Analysis

NIITMTS Stock   470.10  4.45  0.96%   
NIIT LEARNING SYSTEMS is overvalued with Real Value of 399.77 and Hype Value of 470.45. The main objective of NIIT LEARNING stock analysis is to determine its intrinsic value, which is an estimate of what NIIT LEARNING SYSTEMS is worth, separate from its market price. There are two main types of NIIT LEARNING's stock analysis: fundamental analysis and technical analysis. Fundamental analysis focuses on the financial and economic factors that affect NIIT LEARNING's performance, such as revenue growth, earnings, and financial stability. Technical analysis, on the other hand, focuses on the price and volume data of NIIT LEARNING's stock to identify patterns and trends that may indicate its future price movements.
The NIIT LEARNING stock is traded in India on National Stock Exchange of India, with the market opening at 09:15:00 and closing at 15:30:00 every Mon,Tue,Wed,Thu,Fri except for officially observed holidays in India. NIIT LEARNING is usually not traded on Bakri Id ( 2024 ), Moharram, Independence Day, Mahatma Gandhi Jayanti, Diwali Laxmi Pujan *, Gurunanak Jayanti, Christmas Day, Republic Day, Saheb Ambedkar Jayanti Day, Good Friday. NIIT Stock trading window is adjusted to Asia/Calcutta timezone.
  
Check out Correlation Analysis to better understand how to build diversified portfolios, which includes a position in NIIT LEARNING SYSTEMS. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in population.

NIIT Stock Analysis Notes

About 52.0% of the company outstanding shares are owned by corporate insiders. The company recorded earning per share (EPS) of 16.22. NIIT LEARNING SYSTEMS last dividend was issued on the 5th of September 2024. To find out more about NIIT LEARNING SYSTEMS contact Sapnesh Lalla at 91 12 4491 6500 or learn more at https://www.niit.com/en/learning-outsourcing/.

NIIT LEARNING Quarterly Total Revenue

3.97 Billion

NIIT LEARNING SYSTEMS Investment Alerts

NIIT LEARNING generated a negative expected return over the last 90 days
NIIT LEARNING is unlikely to experience financial distress in the next 2 years
About 52.0% of the company outstanding shares are owned by corporate insiders

NIIT Market Capitalization

The company currently falls under 'Large-Cap' category with a current market capitalization of 62.81 B. Market capitalization usually refers to the total value of a company's stock within the entire market. To calculate NIIT LEARNING's market, we take the total number of its shares issued and multiply it by NIIT LEARNING's current market price. To manage market risk and economic uncertainty, many investors today build portfolios that are diversified across equities with different market capitalizations. However, as a general rule, conservative investors tend to hold large-cap stocks, and those looking for more risk prefer small-cap and mid-cap equities.

NIIT Profitablity

NIIT LEARNING's profitability indicators refer to fundamental financial ratios that showcase NIIT LEARNING's ability to generate income relative to its revenue or operating costs. If, let's say, NIIT LEARNING is currently losing money, the management's focus should be on how to reverse that trend. However, when revenue exceeds expenses, NIIT LEARNING's executives or investors may be in less hurry to break that information down - which is where profitability analysis comes into play. Gaining a greater understanding of NIIT LEARNING's profitability requires more research than a typical breakdown of NIIT LEARNING's financial statements. By doing a profitability analysis, companies can identify areas needing attention, and investors can make a profitable trade.
The company has Profit Margin (PM) of 0.14 %, which maeans that even a very small decline in it revenue will erase profits resulting in a net loss. This is way below average. Similarly, it shows Operating Margin (OM) of 0.18 %, which suggests for every 100 dollars of sales, it generated a net operating income of $0.18.

Management Efficiency

NIIT LEARNING SYSTEMS has return on total asset (ROA) of 0.1012 % which means that it generated a profit of $0.1012 on every $100 spent on assets. This is way below average. Similarly, it shows a return on equity (ROE) of 0.232 %, meaning that it generated $0.232 on every $100 dollars invested by stockholders. NIIT LEARNING's management efficiency ratios could be used to measure how well NIIT LEARNING manages its routine affairs as well as how well it operates its assets and liabilities. At this time, NIIT LEARNING's Non Current Assets Total are comparatively stable compared to the past year. Non Currrent Assets Other is likely to gain to about 788.1 M in 2024, whereas Total Current Assets are likely to drop slightly above 7.1 B in 2024.
NIIT LEARNING SYSTEMS has shown resilience through effective management strategies. Our analysis examines how these strategies influence financial outcomes and investor returns which helps in understanding the stock's long-term potential.
Dividend Yield
0.0117
Operating Margin
0.1818
Profit Margin
0.1432
Forward Dividend Yield
0.0117
Return On Assets
0.1012

Technical Drivers

As of the 2nd of December, NIIT LEARNING secures the risk adjusted performance of 0.0089, and Mean Deviation of 1.78. In connection with fundamental indicators, the technical analysis model lets you check helpful technical drivers of NIIT LEARNING SYSTEMS, as well as the relationship between them. Please verify NIIT LEARNING SYSTEMS downside deviation, jensen alpha, as well as the relationship between the Jensen Alpha and downside variance to decide if NIIT LEARNING SYSTEMS is priced fairly, providing market reflects its recent price of 470.1 per share.

NIIT LEARNING SYSTEMS Price Movement Analysis

Execute Study
The output start index for this execution was thirty-five with a total number of output elements of twenty-six. The Bollinger Bands is very popular indicator that was developed by John Bollinger. It consist of three lines. NIIT LEARNING middle band is a simple moving average of its typical price. The upper and lower bands are (N) standard deviations above and below the middle band. The bands widen and narrow when the volatility of the price is higher or lower, respectively. The upper and lower bands can also be interpreted as price targets for NIIT LEARNING SYSTEMS. When the price bounces off of the lower band and crosses the middle band, then the upper band becomes the price target.

NIIT LEARNING Outstanding Bonds

NIIT LEARNING issues bonds to finance its operations. Corporate bonds make up one of the largest components of the U.S. bond market, which is considered the world's largest securities market. NIIT LEARNING SYSTEMS uses the proceeds from bond sales for a wide variety of purposes, including financing ongoing mergers and acquisitions, buying new equipment, investing in research and development, buying back their own stock, paying dividends to shareholders, and even refinancing existing debt. Most NIIT bonds can be classified according to their maturity, which is the date when NIIT LEARNING SYSTEMS has to pay back the principal to investors. Maturities can be short-term, medium-term, or long-term (more than ten years). Longer-term bonds usually offer higher interest rates but may entail additional risks.

NIIT LEARNING Predictive Daily Indicators

NIIT LEARNING intraday indicators are useful technical analysis tools used by many experienced traders. Just like the conventional technical analysis, daily indicators help intraday investors to analyze the price movement with the timing of NIIT LEARNING stock daily movement. By combining multiple daily indicators into a single trading strategy, you can limit your risk while still earning strong returns on your managed positions.

NIIT LEARNING Forecast Models

NIIT LEARNING's time-series forecasting models are one of many NIIT LEARNING's stock analysis techniques aimed at predicting future share value based on previously observed values. Time-series forecasting models ae widely used for non-stationary data. Non-stationary data are called the data whose statistical properties e.g. the mean and standard deviation are not constant over time but instead, these metrics vary over time. These non-stationary NIIT LEARNING's historical data is usually called time-series. Some empirical experimentation suggests that the statistical forecasting models outperform the models based exclusively on fundamental analysis to predict the direction of the market movement and maximize returns from investment trading.

About NIIT Stock Analysis

Stock analysis is the technique used by a trader or investor to examine and evaluate how NIIT LEARNING prices is reacting to, or reflecting on a current market direction and economic conditions. It can be used to make informed decisions about market timing, and when buying or selling NIIT shares will generate the highest return on investment. We also built our stock analysis module to help investors to gain an insight into the world economy as a whole, the stock market, thematic ideas. a specific sector, or an individual Stock such as NIIT LEARNING. By using and applying NIIT Stock analysis, traders can create a robust methodology for identifying NIIT entry and exit points for their positions.
NIIT LEARNING is entity of India. It is traded as Stock on NSE exchange.

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Additional Tools for NIIT Stock Analysis

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.