Data Communications Management Stock Probability Of Bankruptcy
| DCM Stock | CAD 2.12 0.03 1.40% |
Data | Probability Of Bankruptcy |
Data Communications Management Company odds of distress Analysis
Data Communications' Probability Of Bankruptcy is a relative measure of the likelihood of financial distress. For stocks, the Probability Of Bankruptcy is the normalized value of Z-Score. For funds and ETFs, it is derived from a multi-factor model developed by Macroaxis. The score is used to predict the probability of a firm or a fund experiencing financial distress within the next 24 months. Unlike Z-Score, Probability Of Bankruptcy is the value between 0 and 100, indicating the firm's actual probability it will be financially distressed in the next 2 fiscal years.
More About Probability Of Bankruptcy | All Equity Analysis
Probability Of Bankruptcy | = | Normalized | | Z-Score |
Current Data Communications Probability Of Bankruptcy | Over 68% |
Most of Data Communications' fundamental indicators, such as Probability Of Bankruptcy, 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, Data Communications Management is considered to be undervalued, and we provide a buy recommendation. Otherwise, we render a sell signal.
Our calculation of Data Communications probability of bankruptcy is based on Altman Z-Score and Piotroski F-Score, but not limited to these measures. To be applied to a broader range of industries and markets, we use several other techniques to enhance the accuracy of predicting Data Communications odds of financial distress. These include financial statement analysis, different types of price predictions, earning estimates, analysis consensus, and basic intrinsic valuation. Please use the options below to get a better understanding of different measures that drive the calculation of Data Communications Management financial health.
Data Probability Of Bankruptcy Driver Correlations
Understanding the fundamental principles of building solid financial models for Data Communications is extremely important. It helps to project a fair market value of Data Stock properly, considering its historical fundamentals such as Probability Of Bankruptcy. Since Data Communications' main accounts across its financial reports are all linked and dependent on each other, it is essential to analyze all possible correlations between related accounts. However, instead of reviewing all of Data Communications' historical financial statements, investors can examine the correlated drivers to determine its overall health. This can be effectively done using a conventional correlation matrix of Data Communications' interrelated accounts and indicators.
Click cells to compare fundamentals
The Probability of Bankruptcy SHOULD NOT be confused with the actual chance of a company to file for chapter 7, 11, 12, or 13 bankruptcy protection. Macroaxis simply defines Financial Distress as an operational condition where a company is having difficulty meeting its current financial obligations towards its creditors or delivering on the expectations of its investors. Macroaxis derives these conditions daily from both public financial statements as well as analysis of stock prices reacting to market conditions or economic downturns, including short-term and long-term historical volatility. Other factors taken into account include analysis of liquidity, revenue patterns, R&D expenses, and commitments, as well as public headlines and social sentiment.
| Competition |
Based on the latest financial disclosure, Data Communications Management has a Probability Of Bankruptcy of 68%. This is 59.7% higher than that of the Commercial Services & Supplies sector and 117.39% higher than that of the Industrials industry. The probability of bankruptcy for all Canada stocks is 70.73% lower than that of the firm.
Data Probability Of Bankruptcy Peer Comparison
Stock peer comparison is one of the most widely used and accepted methods of equity analyses. It analyses Data Communications' direct or indirect competition against its Probability Of Bankruptcy to detect undervalued stocks with similar characteristics or determine the stocks which would be a good addition to a portfolio. Peer analysis of Data Communications could also be used in its relative valuation, which is a method of valuing Data Communications by comparing valuation metrics of similar companies.Data Communications is currently under evaluation in probability of bankruptcy category among its peers.
Data Communications Main Bankruptcy Drivers
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Return On Assets | (0.0652) | 0.0811 | 0.0112 | 0.0934 | (0.0379) | (0.0398) | |
| Asset Turnover | 1.32 | 1.58 | 1.68 | 1.83 | 1.07 | 1.26 | |
| Net Debt | 205.9M | 95.6M | 74.5M | 62.6M | 239.5M | 251.5M | |
| Total Current Liabilities | 73.6M | 60.9M | 62.8M | 69.5M | 116.5M | 64.4M | |
| Non Current Liabilities Total | 141.9M | 93.0M | 69.2M | 57.2M | 273.5M | 287.1M | |
| Total Assets | 214.4M | 163.9M | 140.1M | 149.5M | 418.8M | 439.7M | |
| Total Current Assets | 101.6M | 75.9M | 68.0M | 82.1M | 181.1M | 101.8M | |
| Total Cash From Operating Activities | (811K) | 47.6M | 26.9M | 22.7M | 32.8M | 34.4M |
Data Fundamentals
| Return On Equity | -0.0861 | ||||
| Return On Asset | 0.0649 | ||||
| Profit Margin | (0.01) % | ||||
| Operating Margin | 0.05 % | ||||
| Current Valuation | 356.99 M | ||||
| Shares Outstanding | 55.31 M | ||||
| Shares Owned By Insiders | 22.41 % | ||||
| Shares Owned By Institutions | 8.99 % | ||||
| Number Of Shares Shorted | 25.73 K | ||||
| Price To Earning | 312.50 X | ||||
| Price To Book | 2.98 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 | 117.26 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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| 0.76 | ARX | ARC Resources | 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.