Data Net Debt vs Short Term Debt Analysis
DCM Stock | CAD 1.99 0.10 5.29% |
Data Communications financial indicator trend analysis is much more than just examining Data Communications latest accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Data Communications is a good investment. Please check the relationship between Data Communications Net Debt and its Short Term Debt accounts. Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Data Communications Management. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors.
Net Debt vs Short Term Debt
Net Debt vs Short Term Debt Correlation Analysis
The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Data Communications Net Debt account and Short Term Debt. At this time, the significance of the direction appears to have no relationship.
The correlation between Data Communications' Net Debt and Short Term Debt is 0.09. Overlapping area represents the amount of variation of Net Debt that can explain the historical movement of Short Term Debt in the same time period over historical financial statements of Data Communications Management, assuming nothing else is changed. The correlation between historical values of Data Communications' Net Debt and Short Term Debt is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Net Debt of Data Communications Management are associated (or correlated) with its Short Term Debt. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Short Term Debt has no effect on the direction of Net Debt i.e., Data Communications' Net Debt and Short Term Debt go up and down completely randomly.
Correlation Coefficient | 0.09 |
Relationship Direction | Positive |
Relationship Strength | Insignificant |
Net Debt
The total debt of a company minus its cash and cash equivalents. It represents the actual debt burden on the company after accounting for the liquid assets it holds.Short Term Debt
Most indicators from Data Communications' fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators one by one will only give a small insight into Data Communications current financial condition. On the other hand, looking into the entire matrix of fundamental ratios indicators, and analyzing their relationships over time can provide a more complete picture of the company financial strength now and in the future. Check out Investing Opportunities to better understand how to build diversified portfolios, which includes a position in Data Communications Management. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in board of governors. At this time, Data Communications' Selling General Administrative is very stable compared to the past year. As of the 26th of November 2024, Issuance Of Capital Stock is likely to grow to about 25.4 M, though Tax Provision is likely to grow to (6.3 M).
2021 | 2022 | 2023 | 2024 (projected) | Interest Expense | 5.8M | 5.0M | 15.3M | 16.1M | Depreciation And Amortization | 15.2M | 11.2M | 21.7M | 22.8M |
Data Communications fundamental ratios Correlations
Click cells to compare fundamentals
Data Communications Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Data Communications fundamental ratios Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 214.4M | 163.9M | 140.1M | 149.5M | 418.8M | 439.7M | |
Other Current Liab | 6.0M | 2.8M | 4.1M | 2.9M | 16.3M | 17.1M | |
Total Current Liabilities | 73.6M | 60.9M | 62.8M | 69.5M | 116.5M | 64.4M | |
Total Stockholder Equity | (1.0M) | 10.0M | 8.0M | 22.8M | 28.8M | 54.6M | |
Property Plant And Equipment Net | 69.4M | 52.1M | 41.9M | 40.3M | 190.2M | 199.7M | |
Net Debt | 205.9M | 95.6M | 74.5M | 62.6M | 239.5M | 251.5M | |
Retained Earnings | (260.5M) | (249.7M) | (252.3M) | (237.8M) | (258.5M) | (271.4M) | |
Accounts Payable | 51.7M | 40.0M | 37.6M | 44.1M | 75.8M | 40.7M | |
Non Current Assets Total | 112.7M | 88.0M | 72.0M | 67.4M | 237.7M | 249.6M | |
Non Currrent Assets Other | 1.3M | 1.1M | 1.1M | 2.8M | 4.9M | 5.1M | |
Net Receivables | 86.5M | 65.3M | 52.4M | 54.6M | 120.6M | 126.6M | |
Common Stock Shares Outstanding | 21.6M | 43.3M | 46.1M | 46.6M | 50.8M | 53.4M | |
Liabilities And Stockholders Equity | 214.4M | 163.9M | 140.1M | 149.5M | 418.8M | 439.7M | |
Non Current Liabilities Total | 141.9M | 93.0M | 69.2M | 57.2M | 273.5M | 287.1M | |
Inventory | 12.6M | 8.5M | 12.1M | 20.2M | 28.8M | 25.2M | |
Other Current Assets | 2.6M | 1.5M | 2.6M | 3.0M | 14.0M | 14.7M | |
Other Stockholder Equity | 3.2M | 3.2M | 3.7M | 4M | 3.1M | 3.0M | |
Total Liab | 215.4M | 154.0M | 132.0M | 126.6M | 390.0M | 409.5M | |
Property Plant And Equipment Gross | 69.4M | 52.1M | 120.1M | 118.2M | 284.8M | 299.1M | |
Total Current Assets | 101.6M | 75.9M | 68.0M | 82.1M | 181.1M | 101.8M | |
Accumulated Other Comprehensive Income | 254K | 192K | 173K | 207K | 396K | 415.8K | |
Intangible Assets | 18.2M | 14.5M | 4.0M | 2.5M | 10.6M | 10.1M | |
Short Long Term Debt Total | 144.1M | 96.2M | 75.4M | 66.8M | 257.1M | 270.0M | |
Current Deferred Revenue | 2.1M | 2.8M | 3.3M | 3.9M | 6.2M | 5.6M | |
Short Term Debt | 13.7M | 15.4M | 17.9M | 18.5M | 18.2M | 12.6M | |
Common Stock | 251.2M | 256.0M | 256.3M | 256.5M | 283.7M | 265.9M | |
Other Liab | 11.5M | 12.2M | 11.7M | 8.8M | 7.9M | 10.7M | |
Net Tangible Assets | (36.2M) | (21.5M) | (13.0M) | 3.4M | 3.9M | 4.1M | |
Other Assets | 8.1M | 4.5M | 9.1M | 7.7M | 8.8M | 6.2M | |
Long Term Debt | 76.9M | 40.5M | 24.6M | 15.4M | 93.9M | 98.6M | |
Short Long Term Debt | 5.5M | 7.3M | 11.7M | 11.7M | 7.9M | 7.5M | |
Property Plant Equipment | 69.4M | 52.1M | 41.9M | 40.3M | 46.3M | 32.9M | |
Long Term Debt Total | 130.4M | 80.9M | 57.5M | 48.4M | 55.6M | 63.3M | |
Capital Surpluse | 2.3M | 2.4M | 2.8M | 3.1M | 3.6M | 2.1M |
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 against Data Stock
0.77 | FFH-PM | Fairfax Financial | PairCorr |
0.76 | FFH | Fairfax Financial | PairCorr |
0.74 | FFH-PD | Fairfax Financial | PairCorr |
0.68 | FFH-PE | Fairfax Financial | PairCorr |
0.67 | FFH-PH | 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
Balance Sheet is a snapshot of the financial position of Data Communications at a specified time, usually calculated after every quarter, six months, or one year. Data Communications Balance Sheet has two main parts: assets and liabilities. Liabilities are the debts or obligations of Data Communications and are divided into current liabilities and long term liabilities. An asset, on the other hand, is anything of value that can be converted into cash and which Data currently owns. An asset can also be divided into two categories, current and non-current.