Data Historical Cash Flow
| DCM Stock | CAD 2.10 0.09 4.11% |
Analysis of Data Communications cash flow over time is an excellent tool to project Data Communications future capital expenditures as well as to predict the amount of cash needed to cover cost of sales, R&D expenses or production expansions. Investors should almost always look for trends in cash flow indicators such as Depreciation of 10.8 M or Other Non Cash Items of 42 M as it is a great indicator of Data Communications ability to facilitate future growth, repay debt on time or pay out dividends.
Financial Statement Analysis is much more than just reviewing and examining Data Communications latest accounting reports to predict its past. Macroaxis encourages investors to analyze financial statements over time for various trends across multiple indicators and accounts to determine whether Data Communications is a good buy for the upcoming year.
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About Data Cash Flow Analysis
The Cash Flow Statement is a financial statement that shows how changes in Data balance sheet and income statement accounts affect cash and cash equivalents. It breaks the analysis down to operating, investing, and financing activities. One of the most critical aspects of the cash flow statement is liquidity, which is the degree to which Data's non-liquid assets can be easily converted into cash.
Data Communications Cash Flow Chart
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Capital Expenditures
Capital Expenditures are funds used by Data Communications to acquire physical assets such as property, industrial buildings or equipment. This type of outlay is used by management to increase the scope of Data Communications operations. These expenditures can include everything from repairing an office equipment, building a brand new facility, or writing new software.Dividends Paid
The total amount of dividends that a company has paid out to its shareholders over a specific period.Stock Based Compensation
Compensation provided to employees in the form of equity or options to purchase company stock. This type of compensation is used to align the interests of employees and shareholders.Most accounts from Data Communications' cash flow statement are interrelated and interconnected. However, analyzing cash flow statement accounts 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 cash flow statement accounts, 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' Other Cashflows From Investing Activities is very stable compared to the past year. As of the 1st of March 2025, Issuance Of Capital Stock is likely to grow to about 29.2 M, while Free Cash Flow is likely to drop about 13.7 M.
Data Communications cash flow statement Correlations
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Data Communications Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Data Communications cash flow statement Accounts
| 2020 | 2021 | 2022 | 2023 | 2024 | 2025 (projected) | ||
| Change In Cash | 1.7M | 323K | 3.3M | 13.4M | 15.5M | 16.2M | |
| Free Cash Flow | 46.8M | 23.7M | 21.1M | 28.5M | 25.6M | 13.7M | |
| Change In Working Capital | 15.9M | 7.1M | (3.6M) | (707K) | (813.1K) | (772.4K) | |
| Other Cashflows From Financing Activities | (560K) | (371K) | 515K | (561K) | (504.9K) | (479.7K) | |
| Depreciation | 16.2M | 15.2M | 11.2M | 21.7M | 19.6M | 10.8M | |
| Other Non Cash Items | 805K | 1.5M | (5.1M) | 34.8M | 40.0M | 42.0M | |
| Capital Expenditures | 839K | 3.2M | 1.5M | 4.3M | 5.0M | 3.7M | |
| Total Cash From Operating Activities | 47.6M | 26.9M | 22.7M | 32.8M | 29.5M | 16.4M | |
| Net Income | 11.5M | 1.6M | 14.0M | (15.9M) | (14.3M) | (13.6M) | |
| Total Cash From Financing Activities | (45.1M) | (23.4M) | (17.9M) | 85.2M | 76.7M | 80.5M | |
| End Period Cash Flow | 578K | 901K | 4.2M | 17.7M | 15.9M | 16.7M | |
| Change To Inventory | 4.1M | (3.6M) | (8.1M) | 14.4M | 12.9M | 13.6M | |
| Begin Period Cash Flow | (1.1M) | 578K | 901K | 4.2M | 3.8M | 2.4M | |
| Change To Account Receivables | 21.0M | 13.7M | (3.1M) | (3.6M) | (3.2M) | (3.1M) | |
| Net Borrowings | 3.8M | (44.7M) | (23.0M) | (18.4M) | (16.6M) | (17.4M) | |
| Total Cashflows From Investing Activities | (3.9M) | (835K) | (3.2M) | (1.5M) | (1.7M) | (1.8M) | |
| Change To Operating Activities | 788K | 945K | 1.6M | (1.0M) | (1.2M) | (1.1M) | |
| Change To Netincome | (890K) | 2.7M | 1.9M | 817K | 735.3K | 698.5K | |
| Stock Based Compensation | 54K | 488K | 328K | 675K | 776.3K | 815.1K | |
| Other Cashflows From Investing Activities | 975K | 4K | 0.0 | 70K | 80.5K | 84.5K | |
| Investments | (835K) | (3.2M) | (1.5M) | (104.5M) | (94.0M) | (89.3M) | |
| Issuance Of Capital Stock | 4.8M | 173K | 0.0 | 24.2M | 27.9M | 29.2M |
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.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
The Cash Flow Statement is a financial statement that shows how changes in Data balance sheet and income statement accounts affect cash and cash equivalents. It breaks the analysis down to operating, investing, and financing activities. One of the most critical aspects of the cash flow statement is liquidity, which is the degree to which Data's non-liquid assets can be easily converted into cash.