Lotte Data Communication Stock EBITDA
| 286940 Stock | 19,900 550.00 2.69% |
Lotte Data Communication fundamentals help investors to digest information that contributes to Lotte Data's financial success or failures. It also enables traders to predict the movement of Lotte Stock. The fundamental analysis module provides a way to measure Lotte Data's intrinsic value by examining its available economic and financial indicators, including the cash flow records, the balance sheet account changes, the income statement patterns, and various microeconomic indicators and financial ratios related to Lotte Data stock.
Lotte |
Lotte Data Communication Company EBITDA Analysis
Lotte Data's EBITDA stands for earnings before interest, taxes, depreciation, and amortization. It is a measure of a company operating cash flow based on data from the company income statement and is a very good way to compare companies within industries or across different sectors. However, unlike Operating Cash Flow, EBITDA does not include the effects of changes in working capital.
Current Lotte Data EBITDA | 86.59 B |
Most of Lotte Data's fundamental indicators, such as EBITDA, 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, Lotte Data Communication is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
In a nutshell, EBITDA is calculated by adding back each of the excluded items to the post-tax profit, and can be used to compare companies with very different capital structures.
| Competition |
According to the company disclosure, Lotte Data Communication reported earnings before interest,tax, depreciation and amortization of 86.59 B. This is much higher than that of the Technology sector and significantly higher than that of the Information Technology Services industry. The ebitda for all Republic of Korea stocks is significantly lower than that of the firm.
Lotte EBITDA Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Lotte Data's direct or indirect competition against its EBITDA to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Lotte Data could also be used in its relative valuation, which is a method of valuing Lotte Data by comparing valuation metrics of similar companies.Lotte Data is currently under evaluation in ebitda category among its peers.
Lotte Fundamentals
| Return On Equity | 0.0296 | |||
| Return On Asset | 0.0182 | |||
| Profit Margin | 0.02 % | |||
| Operating Margin | 0.02 % | |||
| Current Valuation | 358.39 B | |||
| Shares Outstanding | 15.13 M | |||
| Shares Owned By Insiders | 67.18 % | |||
| Shares Owned By Institutions | 10.24 % | |||
| Price To Book | 0.84 X | |||
| Price To Sales | 0.36 X | |||
| Revenue | 930 B | |||
| Gross Profit | 74.86 B | |||
| EBITDA | 86.59 B | |||
| Net Income | 34.66 B | |||
| Total Debt | 100 B | |||
| Cash Flow From Operations | 87.3 B | |||
| Earnings Per Share | 595.69 X | |||
| Target Price | 36500.0 | |||
| Number Of Employees | 2.85 K | |||
| Beta | 0.72 | |||
| Market Capitalization | 435.73 B | |||
| Total Asset | 750.13 B | |||
| Z Score | 3.4 | |||
| Annual Yield | 0.02 % | |||
| Net Asset | 750.13 B | |||
| Last Dividend Paid | 700.0 |
About Lotte Data Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Lotte Data Communication's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Lotte Data using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Lotte Data Communication 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.
Pair Trading with Lotte Data
One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Lotte Data position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Lotte Data will appreciate offsetting losses from the drop in the long position's value.Moving together with Lotte Stock
Moving against Lotte Stock
The ability to find closely correlated positions to Lotte Data could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Lotte Data when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Lotte Data - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Lotte Data Communication to buy it.
The correlation of Lotte Data is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Lotte Data moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Lotte Data Communication moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Lotte Data can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.Other Information on Investing in Lotte Stock
Lotte Data financial ratios help investors to determine whether Lotte Stock is cheap or expensive when compared to a particular measure, such as profits or enterprise value. In other words, they help investors to determine the cost of investment in Lotte with respect to the benefits of owning Lotte Data security.