Automatic Historical Cash Flow
0HJI Stock | 296.94 2.82 0.94% |
Analysis of Automatic Data cash flow over time is an excellent tool to project Automatic Data Processing 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 Stock Based Compensation of 177.2 M or Free Cash Flow of 2.6 B as it is a great indicator of Automatic Data ability to facilitate future growth, repay debt on time or pay out dividends.
Financial Statement Analysis is much more than just reviewing and examining Automatic Data Processing 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 Automatic Data Processing is a good buy for the upcoming year.
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About Automatic Cash Flow Analysis
The Cash Flow Statement is a financial statement that shows how changes in Automatic 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 Automatic's non-liquid assets can be easily converted into cash.
Automatic Data Cash Flow Chart
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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.Depreciation
Depreciation indicates how much of Automatic Data Processing value has been used up. For tax purposes Automatic Data can deduct the cost of the tangible assets it purchases as business expenses. However, Automatic Data Processing must depreciate these assets in accordance with IRS rules about how and when the deduction may be taken, and how long it will last. The systematic allocation of the cost of a tangible asset over its useful life.Net Income
Net income is one of the most important fundamental items in finance. It plays a large role in Automatic Data Processing financial statement analysis. It represents the amount of money remaining after all of Automatic Data Processing operating expenses, interest, taxes and preferred stock dividends have been deducted from a company total revenue.Net Borrowings
The difference between the amount of new debt a company has taken on and the amount of debt it has paid off during a given period.Most accounts from Automatic Data's cash flow statement are interrelated and interconnected. However, analyzing cash flow statement accounts one by one will only give a small insight into Automatic Data Processing 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 Trending Equities to better understand how to build diversified portfolios, which includes a position in Automatic Data Processing. 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, Automatic Data's Change In Cash is comparatively stable compared to the past year. Other Cashflows From Financing Activities is likely to gain to about 2.1 B in 2024, whereas Stock Based Compensation is likely to drop slightly above 177.2 M in 2024.
2021 | 2022 | 2023 | 2024 (projected) | Free Cash Flow | 2.9B | 4.0B | 3.9B | 2.6B | Stock Based Compensation | 201.7M | 220.4M | 243.5M | 177.2M |
Automatic Data cash flow statement Correlations
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Automatic Data Account Relationship Matchups
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Automatic Data cash flow statement Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Sale Purchase Of Stock | (1.0B) | (1.4B) | (2.0B) | (1.1B) | (1.2B) | (1.3B) | |
Change In Cash | 257.4M | 6.1B | 9.6B | (14.0B) | 1.3B | 1.4B | |
Stock Based Compensation | 130.8M | 175.3M | 201.7M | 220.4M | 243.5M | 177.2M | |
Free Cash Flow | 2.9B | 2.9B | 2.9B | 4.0B | 3.9B | 2.6B | |
Change In Working Capital | (113.8M) | (339.8M) | (486.5M) | 129.2M | (1.4B) | (1.3B) | |
Begin Period Cash Flow | 6.8B | 7.1B | 13.1B | 22.8B | 8.8B | 7.9B | |
Other Cashflows From Financing Activities | (3.4B) | 10.4B | 17.3B | (12.7B) | 2.0B | 2.1B | |
Depreciation | 480M | 510.7M | 515.1M | 549.3M | 1.6B | 1.7B | |
Other Non Cash Items | 62.7M | 148.6M | (79.7M) | (103.3M) | (12.6M) | (12.0M) | |
Dividends Paid | 1.5B | 1.6B | 1.7B | 1.9B | (2.2B) | (2.1B) | |
Capital Expenditures | 172.7M | 178.6M | 174.4M | 206.3M | 208.4M | 218.9M | |
Total Cash From Operating Activities | 3.0B | 3.1B | 3.1B | 4.2B | 4.2B | 2.9B | |
Change To Account Receivables | (113.8M) | (339.8M) | (486.5M) | 129.2M | (483.7M) | (459.5M) | |
Net Income | 2.5B | 2.6B | 2.9B | 3.4B | 3.8B | 2.5B | |
Total Cash From Financing Activities | (5.9B) | 6.4B | 13.7B | (15.7B) | (1.4B) | (1.4B) | |
End Period Cash Flow | 7.1B | 13.1B | 22.8B | 8.8B | 10.1B | 7.1B | |
Other Cashflows From Investing Activities | 3.8B | (3.0B) | (6.8B) | (2.3B) | (351.2M) | (368.8M) | |
Total Cashflows From Investing Activities | 3.2B | (3.5B) | (7.0B) | (2.5B) | (2.3B) | (2.4B) | |
Investments | 3.7B | (3.0B) | (6.5B) | (1.9B) | (1.7B) | (1.8B) | |
Net Borrowings | (250.6M) | 989.6M | 127.4M | (45.7M) | (52.6M) | (49.9M) | |
Change To Operating Activities | (987.9M) | (634.5M) | (1.1B) | (1.1B) | (950.5M) | (998.0M) | |
Change To Netincome | 284.7M | (13.8M) | 318.6M | 192.1M | 172.9M | 207.6M | |
Change To Liabilities | (18.3M) | 36.9M | (16.4M) | (11.8M) | (10.6M) | (10.1M) |
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When running Automatic Data's price analysis, check to measure Automatic Data's 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 Automatic Data is operating at the current time. Most of Automatic Data's value examination focuses on studying past and present price action to predict the probability of Automatic Data's future price movements. You can analyze the entity against its peers and the financial market as a whole to determine factors that move Automatic Data's price. Additionally, you may evaluate how the addition of Automatic Data to your portfolios can decrease your overall portfolio volatility.