Automatic Historical Balance Sheet
0HJI Stock | 299.76 2.70 0.89% |
Trend analysis of Automatic Data Processing balance sheet accounts such as Short Long Term Debt Total of 2.5 B, Other Current Liabilities of 37.3 B or Total Current Liabilities of 38.1 B provides information on Automatic Data's total assets, liabilities, and equity, which is the actual value of Automatic Data Processing to its prevalent stockholders. By breaking down trends over time using Automatic Data balance sheet statements, investors will see what precisely the company owns and what it owes to creditors or other parties at the end of each accounting year.
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 Balance Sheet Analysis
Balance Sheet is a snapshot of the financial position of Automatic Data Processing at a specified time, usually calculated after every quarter, six months, or one year. Automatic Data Balance Sheet has two main parts: assets and liabilities. Liabilities are the debts or obligations of Automatic Data and are divided into current liabilities and long term liabilities. An asset, on the other hand, is anything of value that can be converted into cash and which Automatic currently owns. An asset can also be divided into two categories, current and non-current.
Automatic Data Balance Sheet Chart
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Short Term Investments
Short Term Investments is an item under the current assets section of Automatic Data balance sheet. It contains any investments Automatic Data Processing undertook that will expire in less than one year. These accounts contain financial instruments such as stocks or bonds that Automatic Data Processing can easily liquidate in the marketplace.Most accounts from Automatic Data's balance sheet are interrelated and interconnected. However, analyzing balance sheet 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 balance sheet 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 Net Debt is comparatively stable compared to the past year. Accounts Payable is likely to gain to about 107.8 M in 2024, whereas Short and Long Term Debt Total is likely to drop slightly above 2.5 B in 2024.
2021 | 2022 | 2023 | 2024 (projected) | Short and Long Term Debt Total | 3.6B | 3.5B | 3.8B | 2.5B | Total Assets | 63.1B | 51.0B | 54.4B | 47.2B |
Automatic Data balance sheet Correlations
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Automatic Data Account Relationship Matchups
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Automatic Data balance sheet Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 39.2B | 48.8B | 63.1B | 51.0B | 54.4B | 47.2B | |
Short Long Term Debt Total | 2.5B | 3.4B | 3.6B | 3.5B | 3.8B | 2.5B | |
Other Current Liab | 28.7B | 37.6B | 54.6B | 42.2B | 44.3B | 37.3B | |
Total Current Liabilities | 30.1B | 38.1B | 55.2B | 42.8B | 45.1B | 38.1B | |
Total Stockholder Equity | 5.8B | 5.7B | 3.2B | 3.5B | 4.5B | 3.9B | |
Property Plant And Equipment Net | 1.2B | 1.1B | 1.1B | 1.1B | 1.1B | 978.9M | |
Net Debt | 549.6M | 871.2M | 2.2B | 1.5B | 885.2M | 929.5M | |
Retained Earnings | 18.4B | 19.5B | 20.7B | 22.1B | 23.6B | 19.0B | |
Accounts Payable | 102M | 141.1M | 110.2M | 96.8M | 100.6M | 107.8M | |
Cash | 1.9B | 2.6B | 1.4B | 2.1B | 2.9B | 2.4B | |
Non Current Assets Total | 7.6B | 8.0B | 8.3B | 8.8B | 8.8B | 7.3B | |
Non Currrent Assets Other | 2.8B | 3.3B | 3.2B | 3.6B | 4.1B | 2.8B | |
Cash And Short Term Investments | 1.9B | 2.6B | 1.5B | 2.1B | 2.9B | 2.4B | |
Net Receivables | 2.4B | 2.7B | 3.2B | 3.0B | 3.4B | 2.5B | |
Good Will | 2.3B | 2.3B | 2.3B | 2.3B | 2.4B | 2.4B | |
Common Stock Shares Outstanding | 432.7M | 428.1M | 421.1M | 415.7M | 412.2M | 356.4M | |
Liabilities And Stockholders Equity | 39.2B | 48.8B | 63.1B | 51.0B | 54.4B | 47.2B | |
Non Current Liabilities Total | 3.3B | 5.0B | 4.7B | 4.7B | 4.7B | 3.7B | |
Other Current Assets | 27.2B | 35.4B | 50.2B | 37.1B | 39.2B | 35.1B | |
Other Stockholder Equity | (12.7B) | (13.9B) | (15.5B) | (16.4B) | (17.3B) | (18.2B) | |
Total Liab | 33.4B | 43.1B | 59.8B | 47.5B | 49.8B | 41.8B | |
Total Current Assets | 31.6B | 40.7B | 54.8B | 42.2B | 45.5B | 39.9B | |
Accumulated Other Comprehensive Income | (14.8M) | 10.6M | (2.0B) | (2.3B) | (1.8B) | (1.7B) | |
Short Term Debt | 1.1B | 118.2M | 232.7M | 202.1M | 478.7M | 524.8M | |
Intangible Assets | 1.2B | 1.2B | 1.3B | 1.3B | 1.3B | 1.0B | |
Current Deferred Revenue | 212.5M | 203.9M | 188.2M | 188.6M | 199.8M | 169.4M | |
Capital Surpluse | 1.0B | 1.2B | 1.3B | 1.5B | 1.8B | 1.3B | |
Treasury Stock | (12.2B) | (13.1B) | (14.1B) | (15.4B) | (13.8B) | (14.5B) | |
Property Plant Equipment | 1.2B | 1.1B | 1.1B | 1.1B | 1.2B | 1.1B | |
Other Liab | 1.9B | 1.7B | 1.3B | 1.4B | 1.2B | 1.3B | |
Net Tangible Assets | 2.2B | 2.1B | (408.3M) | (173.9M) | (156.5M) | (148.7M) | |
Deferred Long Term Liab | 2.4B | 2.5B | 2.6B | 2.8B | 3.2B | 2.8B |
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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.