Data Historical Cash Flow
| DATAPATTNS | 2,503 36.60 1.48% |
Analysis of Data Patterns cash flow over time is an excellent tool to project Data Patterns Limited 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 88.2 M or Capital Expenditures of 915.6 M as it is a great indicator of Data Patterns 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 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 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 Patterns Cash Flow Chart
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Begin Period Cash Flow
The amount of cash a company has at the beginning of a financial reporting period. It serves as the starting point for calculating the period's cash flow from operations, investing, and financing activities.Capital Expenditures
Capital Expenditures are funds used by Data Patterns Limited 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 Patterns operations. These expenditures can include everything from repairing an office equipment, building a brand new facility, or writing new software.Net Income
Net income is one of the most important fundamental items in finance. It plays a large role in Data Patterns Limited financial statement analysis. It represents the amount of money remaining after all of Data Patterns Limited operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue.Most accounts from Data Patterns' cash flow statement are interrelated and interconnected. However, analyzing cash flow 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 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 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' Free Cash Flow is comparatively stable compared to the past year. Begin Period Cash Flow is likely to gain to about 2.3 B in 2024, despite the fact that Change In Cash is likely to grow to (1.2 B).
Data Patterns cash flow statement Correlations
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Data Patterns Account Relationship Matchups
High Positive Relationship
High Negative Relationship
Data Patterns cash flow statement Accounts
| 2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
| Change To Inventory | 72.7M | 56.7M | (460.2M) | (731.8M) | (738.5M) | (701.6M) | |
| Investments | 14.1M | (27.4M) | (1.2B) | (3.8B) | (2.2B) | (2.1B) | |
| Change In Cash | 12.0M | 73.0M | 1.7B | 377M | (1.3B) | (1.2B) | |
| Free Cash Flow | 137.9M | 486.2M | 120.5M | (567.4M) | 521.8M | 547.9M | |
| Change In Working Capital | (264.3M) | (189.6M) | (624M) | (1.4B) | (267.1M) | (280.5M) | |
| Begin Period Cash Flow | 3.1M | 15.1M | 88M | 1.8B | 2.2B | 2.3B | |
| Other Cashflows From Financing Activities | (150.4M) | (439.3M) | (530.4M) | (437.4M) | (166.2M) | (174.5M) | |
| Depreciation | 54.8M | 55.5M | 66.2M | 84.5M | 161.3M | 88.2M | |
| Other Non Cash Items | 77.6M | (68.2M) | (213.5M) | (493.1M) | (317.3M) | (301.4M) | |
| Capital Expenditures | 14.5M | 56.8M | 382M | 395M | 872M | 915.6M | |
| Total Cash From Operating Activities | 152.4M | 543.1M | 502.5M | (172.4M) | 1.4B | 1.5B | |
| Change To Account Receivables | (126.9M) | (403M) | (438.3M) | (1.9B) | (181M) | (190.1M) | |
| Net Income | 284.3M | 745.3M | 1.3B | 1.6B | 1.8B | 1.1B | |
| Total Cash From Financing Activities | (154.5M) | (442.7M) | 2.4B | 4.4B | (425.3M) | (404.0M) | |
| End Period Cash Flow | 15.1M | 88.1M | 1.8B | 2.1B | 881.4M | 899.5M |
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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.