Data Historical Income Statement
| DCM Stock | CAD 1.65 0.01 0.61% |
Historical analysis of Data Communications income statement accounts such as Selling General Administrative of 92 M or Total Revenue of 354.3 M can show how well Data Communications Management performed in making a profits. Evaluating Data Communications income statement over time to spot trends is a great complementary tool to traditional technical analysis and can indicate the direction of Data Communications's future profits or losses.
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 Income Statement Analysis
Data Communications Income Statement consists of revenues and expenses along with the resulting net income or loss. It represents the profit for the accounting period attributable to Data Communications shareholders. The income statement also shows Data investors and management if the firm made money during the period reported. The result of an income statement is the net income that is calculated after subtracting the expenses from revenue. It is essential to investors both as an absolute measure as well as earnings per share (i.e., EPS).
Data Communications Income Statement Chart
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Total Revenue
Total revenue comprises all receipts Data Communications generated from the sale of its products or services. The total amount of income generated by the sale of goods or services related to the company's primary operations.Gross Profit
Gross profit is a required income statement account that reflects total revenue of Data Communications Management minus its cost of goods sold. It is profit before Data Communications operating expenses, interest payments and taxes. Gross profit is also known as gross margin. The profit a company makes after deducting the costs associated with making and selling its products, or the costs associated with providing its services.Other Operating Expenses
Other Operating Expenses is the expense which generally does not depend on sales or production quantities of Data Communications. It is also known as Data Communications overhead expenses. Typically these expenses include marketing, rent and utilities, office, leases, and other overhead cost. Expenses incurred from non-core business activities, including administrative and general expenses, but excluding costs directly related to production.Most accounts from Data Communications' income statement are interrelated and interconnected. However, analyzing income 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 income 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' Net Income From Continuing Ops is very stable compared to the past year. As of the 24th of July 2025, Net Income Applicable To Common Shares is likely to grow to about 3.7 M, while Depreciation And Amortization is likely to drop about 10.7 M.
| 2022 | 2023 | 2024 | 2025 (projected) | Interest Expense | 5.0M | 15.3M | 279K | 265.1K | Depreciation And Amortization | 11.2M | 21.7M | 19.6M | 10.7M |
Data Communications income statement Correlations
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Data Communications Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Data Communications income statement Accounts
| 2020 | 2021 | 2022 | 2023 | 2024 | 2025 (projected) | ||
| Depreciation And Amortization | 13.8M | 15.2M | 11.2M | 21.7M | 19.6M | 10.7M | |
| Interest Expense | 6.1M | 5.8M | 5.0M | 15.3M | 279K | 265.1K | |
| Selling General Administrative | 32.5M | 31.1M | 28.0M | 48.0M | 87.6M | 92.0M | |
| Total Revenue | 259.3M | 235.3M | 273.8M | 447.7M | 480.0M | 354.3M | |
| Gross Profit | 72.9M | 69.5M | 84.2M | 118.9M | 130.1M | 91.4M | |
| Other Operating Expenses | 234.5M | 217.2M | 246.7M | 416.1M | 374.5M | 238.5M | |
| Operating Income | 24.2M | 18.6M | 26.7M | 31.7M | 27.3M | 28.7M | |
| Ebit | 23.6M | 18.6M | 24.9M | (7.1M) | (6.4M) | (6.1M) | |
| Ebitda | 37.5M | 33.8M | 36.0M | 14.6M | 13.1M | 13.5M | |
| Cost Of Revenue | 186.4M | 165.8M | 189.6M | 328.8M | 349.9M | 262.8M | |
| Total Operating Expenses | 48.2M | 51.4M | 57.2M | 87.2M | 442.3M | 464.4M | |
| Income Before Tax | 14.6M | 2.6M | 19.9M | (22.4M) | 5.2M | 5.5M | |
| Total Other Income Expense Net | (10.2M) | (15.5M) | (6.8M) | (54.1M) | (10.4M) | (10.9M) | |
| Net Income | 13.3M | 1.6M | 14.0M | (15.9M) | 3.6M | 3.7M | |
| Income Tax Expense | 3.1M | 1.1M | 5.9M | (6.6M) | (7.6M) | (7.2M) | |
| Selling And Marketing Expenses | 26.4M | 24.9M | 29.2M | 39.2M | 35.3M | 28.0M | |
| Net Income From Continuing Ops | 11.5M | 1.6M | 14.0M | (15.9M) | 3.6M | 3.7M | |
| Net Income Applicable To Common Shares | 11.5M | 1.6M | 14.0M | (15.9M) | 3.6M | 3.7M | |
| Tax Provision | 3.1M | 1.1M | 5.9M | (6.6M) | 1.7M | 1.8M | |
| Interest Income | 6.1M | 5.8M | 5.0M | 15.3M | 21.5M | 22.6M | |
| Net Interest Income | (6.6M) | (6.8M) | (5.3M) | (15.8M) | (22.0M) | (20.9M) | |
| Reconciled Depreciation | 16.2M | 15.2M | 11.2M | 21.7M | 26.2M | 17.0M |
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
Data Communications Income Statement consists of revenues and expenses along with the resulting net income or loss. It represents the profit for the accounting period attributable to Data Communications shareholders. The income statement also shows Data investors and management if the firm made money during the period reported. The result of an income statement is the net income that is calculated after subtracting the expenses from revenue. It is essential to investors both as an absolute measure as well as earnings per share (i.e., EPS).