Data Historical Income Statement
DATAPATTNS | 2,503 36.60 1.48% |
Historical analysis of Data Patterns income statement accounts such as Depreciation And Amortization of 88.2 M or Interest Expense of 88.9 M can show how well Data Patterns Limited performed in making a profits. Evaluating Data Patterns income statement over time to spot trends is a great complementary tool to traditional technical analysis and can indicate the direction of Data Patterns's future profits or losses.
Financial Statement Analysis is much more than just reviewing and examining Data Patterns Limited 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 Patterns Limited is a good buy for the upcoming year.
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About Data Income Statement Analysis
Data Patterns Limited 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 Patterns 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 Patterns Income Statement Chart
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Tax Provision
The amount set aside by a company to cover any estimated taxes for the current period. It reflects the company's expected tax liabilities.Total Revenue
Total revenue comprises all receipts Data Patterns Limited 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.Most accounts from Data Patterns' income statement are interrelated and interconnected. However, analyzing income statement accounts one by one will only give a small insight into Data Patterns Limited 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 Patterns Limited. Also, note that the market value of any company could be closely tied with the direction of predictive economic indicators such as signals in american community survey. At this time, Data Patterns' Income Tax Expense is comparatively stable compared to the past year.
2021 | 2022 | 2023 | 2024 (projected) | Depreciation And Amortization | 66.3M | 84.5M | 161.3M | 88.2M | Interest Income | 39.6M | 84.2M | 295.9M | 310.7M |
Data Patterns income statement Correlations
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Data Patterns Account Relationship Matchups
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Data Patterns income statement Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Tax Provision | 73.8M | 189.6M | 334.1M | 408.4M | 605M | 635.3M | |
Net Interest Income | (107.8M) | (122.8M) | (109.9M) | (77.4M) | (93.3M) | (98.0M) | |
Interest Income | 25.6M | 22.2M | 39.6M | 84.2M | 295.9M | 310.7M | |
Depreciation And Amortization | 54.8M | 55.5M | 66.3M | 84.5M | 161.3M | 88.2M | |
Interest Expense | 133.4M | 145.0M | 109.9M | 77.4M | 93.3M | 88.9M | |
Selling General Administrative | 34.3M | 33.0M | 60.9M | 55.3M | 993.2M | 1.0B | |
Selling And Marketing Expenses | 12.5M | 5.0M | 22.1M | 32.2M | 15.8M | 18.7M | |
Total Revenue | 1.6B | 2.2B | 3.1B | 4.5B | 5.2B | 3.3B | |
Gross Profit | 1.0B | 1.5B | 2.2B | 2.8B | 3.5B | 2.2B | |
Other Operating Expenses | 1.2B | 1.4B | 1.7B | 2.9B | 2.7B | 2.0B | |
Operating Income | 376.8M | 865.4M | 1.4B | 1.7B | 2.5B | 1.3B | |
Net Income From Continuing Ops | 210.5M | 555.7M | 939.7M | 1.2B | 1.8B | 1.9B | |
Ebit | 414.6M | 839.0M | 1.4B | 1.7B | 2.1B | 1.2B | |
Ebitda | 469.4M | 894.5M | 1.4B | 1.8B | 2.2B | 1.3B | |
Cost Of Revenue | 560.9M | 704.0M | 860.7M | 1.7B | 1.7B | 1.1B | |
Total Operating Expenses | 608.5M | 661.1M | 873.9M | 1.2B | 1.0B | 898.7M | |
Reconciled Depreciation | 54.8M | 55.5M | 66.3M | 84.5M | 161.3M | 88.2M | |
Income Before Tax | 284.3M | 745.3M | 1.3B | 1.6B | 2.4B | 2.5B | |
Total Other Income Expense Net | (107.3M) | (271.0M) | (350.5M) | (338M) | (50.9M) | (53.4M) | |
Net Income | 210.5M | 555.6M | 939.7M | 1.2B | 1.8B | 1.9B | |
Income Tax Expense | 73.8M | 189.6M | 334.1M | 408.4M | 605M | 635.3M |
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When running Data Patterns' price analysis, check to measure Data Patterns' market volatility, profitability, liquidity, solvency, efficiency, growth potential, financial leverage, and other vital indicators. We have many different tools that can be utilized to determine how healthy Data Patterns is operating at the current time. Most of Data Patterns' value examination focuses on studying past and present price action to predict the probability of Data Patterns' future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Data Patterns' price. Additionally, you may evaluate how the addition of Data Patterns to your portfolios can decrease your overall portfolio volatility.