Automatic Financial Statements From 2010 to 2024

ADP Stock  USD 249.74  1.41  0.57%   
Automatic Data financial statements provide useful quarterly and yearly information to potential Automatic Data Processing investors about the company's current and past financial position, as well as its overall management performance and changes in financial position over time. Historical trend examination of various income statement and balance sheet accounts found on Automatic Data financial statements helps investors assess Automatic Data's valuation, profitability, and current liquidity needs. Key fundamental drivers impacting Automatic Data's valuation are summarized below:
Gross Profit
8.5 B
Profit Margin
0.1914
Market Capitalization
102.6 B
Enterprise Value Revenue
5.8668
Revenue
18.6 B
There are currently one hundred twenty fundamental signals for Automatic Data Processing that can be evaluated and compared over time across rivals. Investors and active traders are advised to validate Automatic Data's prevailing fundamental performance against the performance between 2010 and 2024 to make sure the trends are evolving in the right direction.
Check Automatic Data financial statements over time to gain insight into future company performance. You can evaluate financial statements to find patterns among Automatic 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 exotic indicators such as Short Term Coverage Ratios of 1.2, Price Earnings Ratio of 17.23 or Price To Sales Ratio of 2.41. Automatic financial statements analysis is a perfect complement when working with Automatic Data Valuation or Volatility modules.
  
This module can also supplement Automatic Data's financial leverage analysis and stock options assessment as well as various Automatic Data Technical models . Check out the analysis of Automatic Data Correlation against competitors.

Automatic Data Balance Sheet

Current ValueLast YearHistorical Average 10 Year Trend
Total Assets61.5 B58.6 B40.8 B
Slightly volatile
Short and Long Term Debt TotalB3.8 B2.1 B
Slightly volatile
Other Current Liabilities46.7 B44.4 B31.5 B
Slightly volatile
Total Current Liabilities51.6 B49.2 B33 B
Slightly volatile
Total Stockholder Equity4.3 BB4.5 B
Very volatile
Property Plant And Equipment Net711.6 M1.2 B850.6 M
Slightly volatile
Retained Earnings26.7 B25.4 B16.5 B
Slightly volatile
Cash1.4 B2.4 B2.1 B
Very volatile
Non Current Assets Total7.7 B10.1 B6.3 B
Slightly volatile
Non Currrent Assets Other4.6 B4.6 B2.4 B
Slightly volatile
Cash And Short Term Investments1.6 B2.4 B2.1 B
Very volatile
Net Receivables3.6 B3.5 B2.2 B
Slightly volatile
Good Will1.9 B2.7 B2.2 B
Pretty Stable
Common Stock Shares Outstanding434.3 M374.1 M454.9 M
Slightly volatile
Liabilities And Stockholders Equity61.5 B58.6 B40.8 B
Slightly volatile
Non Current Liabilities Total4.8 B5.4 B3.2 B
Slightly volatile
Other Current Assets812.7 M855.5 M14.1 B
Pretty Stable
Total Liabilities57.3 B54.6 B36.2 B
Slightly volatile
Property Plant And Equipment Gross697.1 M1.2 B816.5 M
Slightly volatile
Total Current Assets50.9 B48.5 B34.3 B
Slightly volatile
Intangible Assets1.1 B1.5 B898.4 M
Slightly volatile
Accounts Payable138.1 M111.3 M132.9 M
Pretty Stable
Common Stock Total Equity70.2 M73.5 M64.9 M
Slightly volatile
Common Stock70.2 M73.5 M64.9 M
Slightly volatile
Other Liabilities1.2 B1.2 BB
Slightly volatile
Other Assets5.1 B3.6 B3.3 B
Very volatile
Long Term Debt3.6 B3.4 B1.7 B
Slightly volatile
Property Plant Equipment809.7 M783.6 M782.3 M
Slightly volatile
Current Deferred Revenue226.8 M169.7 M256.1 M
Slightly volatile
Retained Earnings Total Equity17.1 B25.4 B16.6 B
Slightly volatile
Capital Surpluse2.5 B2.4 B1.2 B
Slightly volatile
Long Term Investments7.3 M7.7 M89.9 M
Slightly volatile
Short and Long Term Debt116.6 M122.8 M1.1 B
Slightly volatile
Long Term Debt Total2.1 B3.4 B1.6 B
Slightly volatile
Non Current Liabilities Other905.7 M1.1 B804.8 M
Slightly volatile
Net Invested Capital7.6 B7.5 B6.6 B
Slightly volatile
Capital Stock51.1 M57.5 M62.6 M
Slightly volatile
Capital Lease Obligations387.3 M402.4 M353.2 M
Slightly volatile

Automatic Data Income Statement

Current ValueLast YearHistorical Average 10 Year Trend
Depreciation And Amortization663.3 M631.7 M407.1 M
Slightly volatile
Selling General Administrative4.3 B4.1 B2.9 B
Slightly volatile
Total Revenue20.8 B19.8 B13.1 B
Slightly volatile
Gross Profit8.7 B8.3 B5.3 B
Slightly volatile
Other Operating Expenses16.3 B15.5 B10.7 B
Slightly volatile
Operating Income5.4 B5.1 B2.8 B
Slightly volatile
EBIT5.7 B5.4 BB
Slightly volatile
EBITDA6.3 BB3.4 B
Slightly volatile
Cost Of Revenue12 B11.4 B7.8 B
Slightly volatile
Total Operating Expenses2.3 B4.1 B2.8 B
Slightly volatile
Income Before Tax5.4 B5.1 B2.9 B
Slightly volatile
Net Income4.1 B3.9 B2.2 B
Slightly volatile
Income Tax Expense1.2 B1.2 B771.8 M
Slightly volatile
Research Development591.6 M971.5 M654.9 M
Slightly volatile
Net Income Applicable To Common Shares4.1 B3.9 B2.2 B
Slightly volatile
Net Income From Continuing Ops2.1 B3.9 B2.1 B
Slightly volatile
Non Recurring6.7 MM9.5 M
Slightly volatile
Tax Provision837.9 M1.2 B776.7 M
Slightly volatile
Interest Income1.2 B1.1 B274.1 M
Slightly volatile
Reconciled Depreciation496.2 M631.7 M412.2 M
Slightly volatile

Automatic Data Cash Flow Statement

Current ValueLast YearHistorical Average 10 Year Trend
Free Cash Flow4.4 B4.2 B2.2 B
Slightly volatile
Begin Period Cash Flow27.5 B26.2 B8.7 B
Slightly volatile
Depreciation332.6 M631.7 M385.9 M
Slightly volatile
Capital Expenditures690.2 M657.3 M457.6 M
Slightly volatile
Total Cash From Operating Activities5.1 B4.8 B2.7 B
Slightly volatile
Net Income4.1 B3.9 B2.2 B
Slightly volatile
End Period Cash Flow10.6 B10.1 B6.6 B
Slightly volatile
Other Non Cash Items1.3 B1.2 B577.6 M
Slightly volatile

Financial Ratios

Current ValueLast YearHistorical Average 10 Year Trend
Price Earnings Ratio17.2323.9825.5575
Slightly volatile
Price To Sales Ratio2.414.763.922
Slightly volatile
Dividend Yield0.01530.01880.0215
Slightly volatile
Operating Cycle1.3 K1.3 K658
Slightly volatile
Price Book Value Ratio24.4923.3213.5276
Slightly volatile
Days Of Payables Outstanding3.884.087.4506
Slightly volatile
Operating Cash Flow Per Share9.619.155.7842
Slightly volatile
Dividend Payout Ratio0.320.50.5406
Very volatile
Price To Operating Cash Flows Ratio13.3319.4520.3041
Slightly volatile
Free Cash Flow Per Share8.317.914.7882
Slightly volatile
Price To Free Cash Flows Ratio17.4622.5125.5739
Slightly volatile
Pretax Profit Margin0.160.230.2054
Slightly volatile
Inventory Turnover0.30.321.4903
Slightly volatile
Ebt Per Ebit0.850.891.0915
Slightly volatile
Payables Turnover97.1792.5460.7756
Slightly volatile
Operating Profit Margin0.150.230.1889
Slightly volatile
Effective Tax Rate0.350.270.2969
Slightly volatile
Company Equity Multiplier13.7313.079.1854
Slightly volatile
Long Term Debt To Capitalization0.460.440.2711
Slightly volatile
Cash Per Share2.374.564.8546
Very volatile
Total Debt To Capitalization0.630.60.3326
Slightly volatile
Interest Coverage19.2820.382.1596
Slightly volatile
Return On Capital Employed0.520.490.3315
Slightly volatile
Payout Ratio0.320.50.5406
Very volatile
Debt Equity Ratio1.931.840.7105
Slightly volatile
Ebit Per Revenue0.150.230.1889
Slightly volatile
Quick Ratio0.130.140.2989
Slightly volatile
Net Income Per E B T0.560.690.6986
Slightly volatile
Cash Ratio0.05320.0560.1898
Slightly volatile
Cash Conversion Cycle1.3 K1.3 K652
Slightly volatile
Operating Cash Flow Sales Ratio0.150.220.1857
Slightly volatile
Days Of Inventory Outstanding1.3 K1.2 K1.2 K
Slightly volatile
Days Of Sales Outstanding43.9757.4857.4503
Slightly volatile
Free Cash Flow Operating Cash Flow Ratio0.630.780.7767
Pretty Stable
Cash Flow Coverage Ratios0.50.536.9014
Slightly volatile
Price To Book Ratio24.4923.3213.5276
Slightly volatile
Current Ratio1.761.131.2261
Pretty Stable
Fixed Asset Turnover8.5114.2813.8086
Very volatile
Price Cash Flow Ratio13.3319.4520.3041
Slightly volatile
Enterprise Value Multiple9.7615.7815.8554
Slightly volatile
Debt Ratio0.170.160.0791
Pretty Stable
Cash Flow To Debt Ratio0.50.536.9014
Slightly volatile
Price Sales Ratio2.414.763.922
Slightly volatile
Return On Assets0.08060.0770.0552
Slightly volatile
Receivables Turnover7.516.576.4221
Slightly volatile
Asset Turnover0.620.390.3856
Pretty Stable
Net Profit Margin0.110.180.1478
Slightly volatile
Gross Profit Margin0.550.480.4238
Pretty Stable
Price Fair Value24.4923.3213.5276
Slightly volatile
Return On Equity0.920.880.4919
Slightly volatile

Automatic Fundamental Market Drivers

Forward Price Earnings24.6914
Cash And Short Term Investments2.1 B

Automatic Upcoming Events

31st of January 2024
Upcoming Quarterly Report
View
24th of April 2024
Next Financial Report
View
31st of December 2023
Next Fiscal Quarter End
View
24th of July 2024
Next Fiscal Year End
View
30th of September 2023
Last Quarter Report
View
30th of June 2023
Last Financial Announcement
View

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 revenue or net income, 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 ReportedProjected for 2024
Current Deferred Revenue169.7 M226.8 M
Total Revenue19.8 B20.8 B
Cost Of Revenue11.4 B12 B
Ebit Per Revenue 0.23  0.15 

Pair Trading with Automatic Data

One of the main advantages of trading using pair correlations is that every trade hedges away some risk. Because there are two separate transactions required, even if Automatic Data position performs unexpectedly, the other equity can make up some of the losses. Pair trading also minimizes risk from directional movements in the market. For example, if an entire industry or sector drops because of unexpected headlines, the short position in Automatic Data will appreciate offsetting losses from the drop in the long position's value.

Moving against Automatic Stock

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The ability to find closely correlated positions to Automatic Data could be a great tool in your tax-loss harvesting strategies, allowing investors a quick way to find a similar-enough asset to replace Automatic Data when you sell it. If you don't do this, your portfolio allocation will be skewed against your target asset allocation. So, investors can't just sell and buy back Automatic Data - that would be a violation of the tax code under the "wash sale" rule, and this is why you need to find a similar enough asset and use the proceeds from selling Automatic Data Processing to buy it.
The correlation of Automatic Data is a statistical measure of how it moves in relation to other instruments. This measure is expressed in what is known as the correlation coefficient, which ranges between -1 and +1. A perfect positive correlation (i.e., a correlation coefficient of +1) implies that as Automatic Data moves, either up or down, the other security will move in the same direction. Alternatively, perfect negative correlation means that if Automatic Data Processing moves in either direction, the perfectly negatively correlated security will move in the opposite direction. If the correlation is 0, the equities are not correlated; they are entirely random. A correlation greater than 0.8 is generally described as strong, whereas a correlation less than 0.5 is generally considered weak.
Correlation analysis and pair trading evaluation for Automatic Data can also be used as hedging techniques within a particular sector or industry or even over random equities to generate a better risk-adjusted return on your portfolios.
Pair CorrelationCorrelation Matching
When determining whether Automatic Data Processing is a good investment, qualitative aspects like company management, corporate governance, and ethical practices play a significant role. A comparison with peer companies also provides context and helps to understand if Automatic Stock is undervalued or overvalued. This multi-faceted approach, blending both quantitative and qualitative analysis, forms a solid foundation for making an informed investment decision about Automatic Data Processing Stock. Highlighted below are key reports to facilitate an investment decision about Automatic Data Processing Stock:
Check out the analysis of Automatic Data Correlation against competitors.
Note that the Automatic Data Processing information on this page should be used as a complementary analysis to other Automatic Data's statistical models used to find the right mix of equity instruments to add to your existing portfolios or create a brand new portfolio. You can also try the Financial Widgets module to easily integrated Macroaxis content with over 30 different plug-and-play financial widgets.

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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.
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Is Automatic Data's industry expected to grow? Or is there an opportunity to expand the business' product line in the future? Factors like these will boost the valuation of Automatic Data. If investors know Automatic will grow in the future, the company's valuation will be higher. The financial industry is built on trying to define current growth potential and future valuation accurately. All the valuation information about Automatic Data listed above have to be considered, but the key to understanding future value is determining which factors weigh more heavily than others.
Quarterly Earnings Growth
0.092
Dividend Share
5.15
Earnings Share
8.64
Revenue Per Share
45.09
Quarterly Revenue Growth
0.063
The market value of Automatic Data Processing is measured differently than its book value, which is the value of Automatic that is recorded on the company's balance sheet. Investors also form their own opinion of Automatic Data's value that differs from its market value or its book value, called intrinsic value, which is Automatic Data's true underlying value. Investors use various methods to calculate intrinsic value and buy a stock when its market value falls below its intrinsic value. Because Automatic Data's market value can be influenced by many factors that don't directly affect Automatic Data's underlying business (such as a pandemic or basic market pessimism), market value can vary widely from intrinsic value.
Please note, there is a significant difference between Automatic Data's value and its price as these two are different measures arrived at by different means. Investors typically determine if Automatic Data is a good investment by looking at such factors as earnings, sales, fundamental and technical indicators, competition as well as analyst projections. However, Automatic Data's price is the amount at which it trades on the open market and represents the number that a seller and buyer find agreeable to each party.