Datagroup Se Stock Current Liabilities
| D6H Stock | 46.25 0.65 1.43% |
DATAGROUP SE fundamentals help investors to digest information that contributes to DATAGROUP's financial success or failures. It also enables traders to predict the movement of DATAGROUP Stock. The fundamental analysis module provides a way to measure DATAGROUP'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 DATAGROUP stock.
DATAGROUP |
DATAGROUP SE Company Current Liabilities Analysis
DATAGROUP's Current Liabilities is the company's short term debt. This usually includes obligations that are due within the next 12 months or within one fiscal year. Current liabilities are very important in analyzing a company's financial health as it requires the company to convert some of its current assets into cash.
Current liabilities appear on the company's balance sheet and include all short term debt accounts, accounts and notes payable, accrued liabilities as well as current payments due on the long-term loans. One of the most useful applications of Current Liabilities is the current ratio which is defined as current assets divided by its current liabilities. High current ratios mean that current assets are more than sufficient to pay off current liabilities.
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In accordance with the recently published financial statements, DATAGROUP SE has a Current Liabilities of 0.0. This is 100.0% lower than that of the Technology sector and 100.0% lower than that of the Information Technology Services industry. The current liabilities for all Germany stocks is 100.0% higher than that of the company.
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DATAGROUP Fundamentals
| Return On Equity | 0.2 | |||
| Return On Asset | 0.0574 | |||
| Profit Margin | 0.05 % | |||
| Operating Margin | 0.08 % | |||
| Current Valuation | 638.62 M | |||
| Shares Outstanding | 8.33 M | |||
| Shares Owned By Insiders | 57.70 % | |||
| Shares Owned By Institutions | 12.60 % | |||
| Price To Book | 4.84 X | |||
| Price To Sales | 1.10 X | |||
| Revenue | 501.41 M | |||
| Gross Profit | 96.33 M | |||
| EBITDA | 3.54 B | |||
| Net Income | 2.2 B | |||
| Cash And Equivalents | 47.04 M | |||
| Total Debt | 112.46 M | |||
| Book Value Per Share | 16.33 X | |||
| Cash Flow From Operations | 7.03 B | |||
| Earnings Per Share | 2.53 X | |||
| Target Price | 95.71 | |||
| Number Of Employees | 3.5 K | |||
| Beta | 1.22 | |||
| Market Capitalization | 558.21 M | |||
| Total Asset | 483.58 M | |||
| Z Score | 26.5 | |||
| Annual Yield | 0.02 % | |||
| Net Asset | 483.58 M | |||
| Last Dividend Paid | 1.1 |
About DATAGROUP Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze DATAGROUP SE's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of DATAGROUP using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of DATAGROUP SE 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 DATAGROUP's price analysis, check to measure DATAGROUP'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 DATAGROUP is operating at the current time. Most of DATAGROUP's value examination focuses on studying past and present price action to predict the probability of DATAGROUP's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move DATAGROUP's price. Additionally, you may evaluate how the addition of DATAGROUP to your portfolios can decrease your overall portfolio volatility.