Get NIITMTS share value with Latest News, Volume Breakout, Delivery Volume Percentage, Pivot Levels, Fibonacci Levels, Camarilla levels and Candlestick Patterns. Company shares prices keep fluctuating as per market conditions. There may be many reasons for the rise and fall of the share price of stocks. It may be market conditions, it may be sector & industry reasons and it may be stocks itself like earnings, order, upgrade or downgrade etc. NIITMTS share value today is ₹512.3 24 Apr, 2024 | 03:32PM

The Market Cap of NIIT Learning Systems Limited is ₹6966 Cr As on 24 Apr, 2024 | 03:32PM. Market capitalization, or market cap, is the total value of a company's shares of stock. It is one measurement of a company's size. A high market cap signifies that the company has a larger presence in the market. Larger companies may have less growth potential compares to start-up firms. Market capitalization refers to how much a company is worth as determined by the stock market. It is defined as the total market value of all outstanding shares. To calculate a company's market cap, multiply the number of outstanding shares by the current market value of one share.

The P/E ratio of NIIT Learning Systems Limited is 0 As on 24 Apr, 2024 | 03:32PM. Price to Earnings Ratio or Price to Earnings Multiple is the ratio of share price of a stock to its earnings per share (EPS). PE ratio is one of the most popular valuation metric of stocks. Typically, the average P/E ratio is around 20 to 25. In general, a high P/E suggests that investors are expecting higher earnings growth in the future compared to companies with a lower P/E. A low P/E can indicate either that a company may currently be undervalued or that the company growth has stagnant due to its matured stage.

A 52 week high of NIIT Learning Systems Limited is ₹576.9 while 52 week low is ₹342.3. A 52 week high, as the name suggests, is the highest price that the security/stock has traded over a 52 week period i.e. a year. Similarly 52 week low is the lowest price that stock has traded over a 52 week period. It is a technical indicator that is used to analyse the security's current price. The 52 week high and 52 week low are also used to predict future movements as well. 52 week is bullish signal and 52 week low is bearish signal.

First support of NIIT Learning Systems Limited is ₹504.07
Second support of NIIT Learning Systems Limited is ₹499.18
Third support of NIIT Learning Systems Limited is ₹494.42
Traders use support to plan entry. Support is the level at which demand is strong enough to stop the stock from falling any further. Support is specific point on chart at which maximum buiying occurs.

First resistance of NIIT Learning Systems Limited is ₹513.72
Second resistance of NIIT Learning Systems Limited is ₹518.48
Third resistance of NIIT Learning Systems Limited is ₹523.37
Traders use resistance to plan exit of trade. Resistance is the level at which selling is strong enough to stop the stock from moving up any further. Resistance is specific point on chart at which maximum selling occurs.

First target of NIIT Learning Systems Limited is ₹567.27
Second target of NIIT Learning Systems Limited is ₹635.88
Third target of NIIT Learning Systems Limited is ₹694.87

First target of NIIT Learning Systems Limited is ₹726.84
Second target of NIIT Learning Systems Limited is ₹803.73
Third target of NIIT Learning Systems Limited is ₹886.34

Date	Open	High	Low	Close	Volume	%Chg
2024-04-22	504.3	514.5	504.3	507.75	28368	0.64
2024-04-19	515.5	518.95	500.05	504.3	130601	-4.25
2024-04-18	500	529.95	497.75	527.4	256605	4.38
2024-04-16	492	514.9	492	505.3	67959	0.99
2024-04-15	490	503.35	485	499.05	69694	-0.09
2024-04-12	507.95	507.95	498	500.35	42278	-0.84
2024-04-10	511.15	514.95	501.1	503.2	31035	-1.7
2024-04-08	520	528	508.1	512.55	66992	-1.01
2024-04-05	522	524.3	510.9	515.4	61825	-1.31
2024-04-04	522	532.95	511.05	518.9	118393	-0.65

Historical share price of stock is needed to find the trend of stock, performance analysis of stock price. History of share price is also used to find the demand and supply by analyzing volume data if available.