Automatic Accounts Payable from 2010 to 2026
| ADP Stock | EUR 199.00 11.25 5.35% |
Accounts Payable | First Reported 2017-03-31 | Previous Quarter 129 M | Current Value 143.1 M | Quarterly Volatility 377.3 M |
Check Automatic Data financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Automatic Data's main balance sheet or income statement drivers, such as Interest Expense of 550.5 M, Selling General Administrative of 3.4 B or Total Revenue of 16.1 B, as well as many indicators such as . Automatic financial statements analysis is a perfect complement when working with Automatic Data Valuation or Volatility modules.
Automatic | Accounts Payable |
The Accounts Payable trend for Automatic Data Processing offers valuable insights into the company's financial trajectory and strategic direction. By examining multi-year patterns, investors can identify whether Automatic Data is strengthening or weakening its position, and how this metric correlates with broader market conditions and industry benchmarks.
Latest Automatic Data's Accounts Payable Growth Pattern
Below is the plot of the Accounts Payable of Automatic Data Processing over the last few years. An accounting item on the balance sheet that represents Automatic Data obligation to pay off a short-term debt to its creditors. The accounts payable entry is usually reported under current liabilities. If accounts payable of Automatic Data Processing are not paid within the agreed terms, the payables are considered to be in default, which may trigger a penalty or interest payment, or the revocation of additional credit from the supplier. Accounts payable may also be considered a source of cash, since they represent funds being borrowed from suppliers. Given these cash flow considerations, suppliers have a natural inclination to push for shorter payment terms, while creditors want to lengthen the payment terms. It is the amount a company owes to suppliers or vendors for products or services received but not yet paid for. It represents the company's short-term liabilities. Automatic Data's Accounts Payable historical data analysis aims to capture in quantitative terms the overall pattern of either growth or decline in Automatic Data's overall financial position and show how it may be relating to other accounts over time.
| Accounts Payable | 10 Years Trend |
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Accounts Payable |
| Timeline |
Automatic Accounts Payable Regression Statistics
| Arithmetic Mean | 138,024,118 | |
| Geometric Mean | 135,460,991 | |
| Coefficient Of Variation | 19.59 | |
| Mean Deviation | 22,005,744 | |
| Median | 149,700,000 | |
| Standard Deviation | 27,039,636 | |
| Sample Variance | 731.1T | |
| Range | 97.7M | |
| R-Value | (0.49) | |
| Mean Square Error | 592.7T | |
| R-Squared | 0.24 | |
| Significance | 0.05 | |
| Slope | (2,623,554) | |
| Total Sum of Squares | 11698.3T |
Automatic Accounts Payable History
About Automatic Data Financial Statements
Automatic Data stakeholders use historical fundamental indicators, such as Automatic Data's Accounts Payable, to determine how well the company is positioned to perform in the future. Although Automatic Data investors may analyze each financial statement separately, they are all interrelated. For example, changes in Automatic Data's assets and liabilities are reflected in the revenues and expenses on Automatic Data's income statement, which ultimately affect the company's gains or losses. Understanding these patterns can help in making the right long-term investment decisions in Automatic Data Processing. Please read more on our technical analysis and fundamental analysis pages.
| Last Reported | Projected for Next Year | ||
| Accounts Payable | 152.2 M | 108.6 M |
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Check out the analysis of Automatic Data Correlation against competitors. You can also try the Theme Ratings module to determine theme ratings based on digital equity recommendations. Macroaxis theme ratings are based on combination of fundamental analysis and risk-adjusted market performance.