Data Communications Management Stock Filter Stocks by Fundamentals
DCM Stock | CAD 2.10 0.01 0.48% |
Data Communications Management fundamentals help investors to digest information that contributes to Data Communications' financial success or failures. It also enables traders to predict the movement of Data Stock. The fundamental analysis module provides a way to measure Data Communications' 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 Data Communications stock.
Data | Shares Owned by Insiders |
Data Communications Current Valuation Drivers
We derive many important indicators used in calculating different scores of Data Communications from analyzing Data Communications' financial statements. These drivers represent accounts that assess Data Communications' ability to generate profits relative to its revenue, operating costs, and shareholders' equity. Below are some of Data Communications' important valuation drivers and their relationship over time.
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Market Cap | 5.2M | 27.2M | 56.3M | 63.9M | 133.2M | 139.8M | |
Enterprise Value | 211.0M | 122.8M | 130.8M | 126.5M | 372.7M | 391.3M |
Data Fundamentals
Return On Equity | -0.0861 | ||||
Return On Asset | 0.0649 | ||||
Profit Margin | (0.01) % | ||||
Operating Margin | 0.05 % | ||||
Current Valuation | 355.88 M | ||||
Shares Outstanding | 55.31 M | ||||
Shares Owned By Insiders | 22.41 % | ||||
Shares Owned By Institutions | 8.99 % | ||||
Number Of Shares Shorted | 13.93 K | ||||
Price To Earning | 312.50 X | ||||
Price To Book | 2.95 X | ||||
Price To Sales | 0.24 X | ||||
Revenue | 447.73 M | ||||
Gross Profit | 84.22 M | ||||
EBITDA | 14.6 M | ||||
Net Income | (15.85 M) | ||||
Cash And Equivalents | 4.21 M | ||||
Cash Per Share | 0.14 X | ||||
Total Debt | 257.13 M | ||||
Current Ratio | 1.15 X | ||||
Book Value Per Share | 0.74 X | ||||
Cash Flow From Operations | 32.8 M | ||||
Short Ratio | 0.21 X | ||||
Earnings Per Share | (0.07) X | ||||
Target Price | 4.81 | ||||
Number Of Employees | 1.8 K | ||||
Beta | 3.37 | ||||
Market Capitalization | 116.15 M | ||||
Total Asset | 418.75 M | ||||
Retained Earnings | (258.5 M) | ||||
Working Capital | 64.52 M | ||||
Net Asset | 418.75 M |
About Data Communications Fundamental Analysis
The Macroaxis Fundamental Analysis modules help investors analyze Data Communications Management's financials across various querterly and yearly statements, indicators and fundamental ratios. We help investors to determine the real value of Data Communications using virtually all public information available. We use both quantitative as well as qualitative analysis to arrive at the intrinsic value of Data Communications Management 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 Data Communications
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 Data Communications 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 Data Communications will appreciate offsetting losses from the drop in the long position's value.Moving together with Data Stock
Moving against Data Stock
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0.75 | FFH-PF | Fairfax Financial | PairCorr |
The ability to find closely correlated positions to Data Communications could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Data Communications 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 Data Communications - 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 Data Communications Management to buy it.
The correlation of Data Communications 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 Data Communications moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Data Communications 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 Data Communications 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 Data Stock
Data Communications financial ratios help investors to determine whether Data 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 Data with respect to the benefits of owning Data Communications security.