Automatic Enterprise Value Over E B I T D A from 2010 to 2024
ADP Stock | USD 245.78 0.11 0.04% |
Enterprise Value Over EBITDA | First Reported 2010-12-31 | Previous Quarter 15.78 | Current Value 9.76 | Quarterly Volatility 4.82710284 |
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 Depreciation And Amortization of 663.3 M, Interest Expense of 305.9 M or Selling General Administrative of 4.3 B, as well as many indicators such as Price To Sales Ratio of 2.41, Dividend Yield of 0.0153 or PTB Ratio of 24.49. Automatic financial statements analysis is a perfect complement when working with Automatic Data Valuation or Volatility modules.
Automatic | Enterprise Value Over E B I T D A |
Latest Automatic Data's Enterprise Value Over E B I T D A Growth Pattern
Below is the plot of the Enterprise Value Over E B I T D A of Automatic Data Processing over the last few years. It is Automatic Data's Enterprise Value Over EBITDA 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.
Enterprise Value Over E B I T D A | 10 Years Trend |
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Enterprise Value Over E B I T D A |
Timeline |
Automatic Enterprise Value Over E B I T D A Regression Statistics
Arithmetic Mean | 15.86 | |
Geometric Mean | 14.98 | |
Coefficient Of Variation | 30.44 | |
Mean Deviation | 3.76 | |
Median | 17.08 | |
Standard Deviation | 4.83 | |
Sample Variance | 23.30 | |
Range | 16.5189 | |
R-Value | 0.44 | |
Mean Square Error | 20.32 | |
R-Squared | 0.19 | |
Significance | 0.10 | |
Slope | 0.47 | |
Total Sum of Squares | 326.21 |
Automatic Enterprise Value Over E B I T D A History
About Automatic Data Financial Statements
There are typically three primary documents that fall into the category of financial statements. These documents include Automatic Data income statement, its balance sheet, and the statement of cash flows. Automatic Data investors use historical funamental indicators, such as Automatic Data's Enterprise Value Over E B I T D A, to determine how well the company is positioned to perform in the future. Although Automatic Data investors may use each financial statement separately, they are all related. The changes in Automatic Data's assets and liabilities, for example, are also reflected in the revenues and expenses that we see on Automatic Data's income statement, which results in the company's gains or losses. Cash flows can provide more information regarding cash listed on a balance sheet, but not equivalent to net income shown on the income statement. We offer a historical overview of the basic patterns found on Automatic Data Financial Statements. Understanding these patterns can help to make the right decision on long term investment in Automatic Data. Please read more on our technical analysis and fundamental analysis pages.
Last Reported | Projected for Next Year | ||
Enterprise Value Over EBITDA | 15.78 | 9.76 |
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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.