Automatic Net Income vs Operating Expenses Analysis

ADP Stock  USD 248.33  3.26  1.33%   
Trend analysis of Automatic Data Processing balance sheet accounts such as Short Long Term Debt Total of 4 B, Other Current Liabilities of 46.7 B or Total Current Liabilities of 51.6 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.
  
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 tightly coupled with the direction of predictive economic indicators such as signals in unemployment.

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

Automatic Data Balance Sheet is one of the main financial statements that report all assets, liabilities, and shareholders' equity for the current year. It provides a basis for different types of computing rates of return, such as return on equity (ROE) or return on asset (ROA), as well as shows how Automatic Data Processing uses and utilizes its capital. It also shows what exactly a company owns and owes.
At this time, Automatic Data's Net Receivables is relatively stable compared to the past year. As of 03/28/2024, Common Stock Shares Outstanding is likely to grow to about 434.3 M, while Non Current Assets Total are likely to drop slightly above 7.7 B.

Total Assets

Total assets refers to the total amount of Automatic Data assets owned. Assets are items that have some economic value and are expended over time to create a benefit for the owner. These assets are usually recorded in Automatic Data Processing books under different categories such as cash, marketable securities, accounts receivable,prepaid expenses, inventory, fixed assets, intangible assets, other assets, marketable securities, accounts receivable, prepaid expenses and others. The total value of all owned resources that are expected to provide future economic benefits to the business, including cash, investments, accounts receivable, inventory, property, plant, equipment, and intangible assets.

Total Current Liabilities

Total Current Liabilities is an item on Automatic Data balance sheet that include short term debt, accounts payable, accrued salaries payable, payroll taxes payable, accrued liabilities and other debts. Total Current Liabilities of Automatic Data Processing are important to investors because some useful performance ratios such as Current Ratio and Quick Ratio require Total Current Liabilities to be accurate. The total amount of liabilities that a company is expected to pay within one year, including debts, accounts payable, and other short-term financial obligations.
Most indicators from Automatic Data's fundamental ratios are interrelated and interconnected. However, analyzing fundamental ratios indicators 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 fundamental ratios indicators, 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 tightly coupled with the direction of predictive economic indicators such as signals in unemployment.
As of 03/28/2024, Selling General Administrative is likely to grow to about 4.3 B, though Discontinued Operations is likely to grow to (983.2 K).
 2021 2022 2023 2024 (projected)
Gross Profit6.6B7.2B8.3B8.7B
Total Revenue16.0B17.2B19.8B20.8B

Automatic Data fundamental ratios Correlations

0.820.991.00.190.710.640.950.210.850.80.230.950.42-0.910.890.790.14-0.931.00.771.00.510.840.150.55
0.820.790.82-0.090.690.80.830.260.740.840.280.880.13-0.770.920.87-0.21-0.830.840.70.810.630.8-0.260.55
0.990.790.990.110.680.660.90.160.790.750.180.910.35-0.880.870.790.22-0.920.990.751.00.410.80.130.48
1.00.820.990.110.680.670.940.170.820.790.180.940.37-0.890.880.80.16-0.921.00.761.00.520.820.110.55
0.19-0.090.110.110.25-0.420.250.520.390.010.520.160.81-0.26-0.04-0.210.22-0.150.090.150.15-0.030.150.72-0.04
0.710.690.680.680.250.610.740.250.860.670.250.750.48-0.840.740.69-0.13-0.820.690.860.680.360.9-0.10.34
0.640.80.660.67-0.420.610.63-0.320.60.74-0.310.74-0.12-0.570.80.92-0.19-0.70.690.580.620.460.78-0.610.4
0.950.830.90.940.250.740.630.190.910.860.220.980.46-0.930.880.8-0.09-0.930.940.740.920.670.890.120.65
0.210.260.160.170.520.25-0.320.190.210.091.00.130.44-0.340.17-0.10.05-0.210.160.310.230.080.070.490.01
0.850.740.790.820.390.860.60.910.210.780.220.910.65-0.880.790.73-0.02-0.870.820.830.80.590.950.040.53
0.80.840.750.790.010.670.740.860.090.780.110.870.17-0.80.880.88-0.26-0.840.810.670.770.610.81-0.170.59
0.230.280.180.180.520.25-0.310.221.00.220.110.160.44-0.350.18-0.090.05-0.220.180.30.240.10.070.490.03
0.950.880.910.940.160.750.740.980.130.910.870.160.4-0.90.90.86-0.06-0.940.950.760.930.660.92-0.010.62
0.420.130.350.370.810.48-0.120.460.440.650.170.440.4-0.490.180.080.22-0.390.350.50.380.210.460.540.16
-0.91-0.77-0.88-0.89-0.26-0.84-0.57-0.93-0.34-0.88-0.8-0.35-0.9-0.49-0.88-0.770.040.95-0.89-0.83-0.9-0.47-0.89-0.14-0.53
0.890.920.870.88-0.040.740.80.880.170.790.880.180.90.18-0.880.91-0.15-0.920.90.780.880.490.87-0.170.52
0.790.870.790.8-0.210.690.920.8-0.10.730.88-0.090.860.08-0.770.91-0.2-0.850.820.690.770.460.86-0.340.47
0.14-0.210.220.160.22-0.13-0.19-0.090.05-0.02-0.260.05-0.060.220.04-0.15-0.20.040.120.00.18-0.39-0.120.35-0.3
-0.93-0.83-0.92-0.92-0.15-0.82-0.7-0.93-0.21-0.87-0.84-0.22-0.94-0.390.95-0.92-0.850.04-0.93-0.8-0.92-0.47-0.91-0.03-0.4
1.00.840.991.00.090.690.690.940.160.820.810.180.950.35-0.890.90.820.12-0.930.760.990.520.840.080.56
0.770.70.750.760.150.860.580.740.310.830.670.30.760.5-0.830.780.690.0-0.80.760.750.380.840.020.41
1.00.811.01.00.150.680.620.920.230.80.770.240.930.38-0.90.880.770.18-0.920.990.750.460.80.170.51
0.510.630.410.52-0.030.360.460.670.080.590.610.10.660.21-0.470.490.46-0.39-0.470.520.380.460.54-0.180.77
0.840.80.80.820.150.90.780.890.070.950.810.070.920.46-0.890.870.86-0.12-0.910.840.840.80.54-0.180.51
0.15-0.260.130.110.72-0.1-0.610.120.490.04-0.170.49-0.010.54-0.14-0.17-0.340.35-0.030.080.020.17-0.18-0.18-0.05
0.550.550.480.55-0.040.340.40.650.010.530.590.030.620.16-0.530.520.47-0.3-0.40.560.410.510.770.51-0.05
Click cells to compare fundamentals

Automatic Data Account Relationship Matchups

Automatic Data fundamental ratios Accounts

201920202021202220232024 (projected)
Total Assets39.2B48.8B63.1B51.0B58.6B61.5B
Short Long Term Debt Total2.3B3.3B3.5B3.3B3.8B4.0B
Other Current Liab28.8B37.7B54.7B38.6B44.4B46.7B
Total Current Liabilities30.1B38.1B55.2B42.8B49.2B51.6B
Total Stockholder Equity5.8B5.7B3.2B3.5B4.0B4.3B
Property Plant And Equipment Net1.2B1.1B1.1B1.1B1.2B711.6M
Net Debt440.5M753M2.1B1.3B1.1B1.2B
Retained Earnings18.4B19.5B20.7B22.1B25.4B26.7B
Cash1.9B2.6B1.4B2.1B2.4B1.4B
Non Current Assets Total7.6B8.0B8.3B8.8B10.1B7.7B
Non Currrent Assets Other2.9B3.3B3.3B4.0B4.6B4.6B
Cash And Short Term Investments1.9B2.6B1.4B2.1B2.4B1.6B
Net Receivables2.4B2.7B3.2B3.0B3.5B3.6B
Good Will2.3B2.3B2.3B2.3B2.7B1.9B
Common Stock Shares Outstanding432.7M428.1M421.1M415.7M374.1M434.3M
Liabilities And Stockholders Equity39.2B48.8B63.1B51.0B58.6B61.5B
Non Current Liabilities Total3.3B5.0B4.7B4.7B5.4B4.8B
Inventory26.7B34.9B49.6B36.3B41.8B43.9B
Other Current Assets506.2M533.4M50.2B743.9M855.5M812.7M
Other Stockholder Equity(12.7B)(13.9B)(15.5B)(16.4B)(14.7B)(14.0B)
Total Liab33.4B43.1B59.8B47.5B54.6B57.3B
Property Plant And Equipment Gross703M1.1B1.1B1.1B1.2B697.1M
Total Current Assets31.6B40.7B54.8B42.2B48.5B50.9B
Accumulated Other Comprehensive Income(14.8M)10.6M(2.0B)(2.3B)(2.1B)(2.0B)
Short Term Debt1.0B23.5M136.4M3.8B4.4B4.6B
Intangible Assets1.2B1.2B1.3B1.3B1.5B1.1B
Accounts Payable102M141.1M110.2M96.8M111.3M138.1M
Short Term Investments0.010.4M47M14.7M13.2M12.6M
Other Liab1.9B1.7B1.3B1.4B1.2B1.2B
Other Assets2.9B3.3B3.5B4.0B3.6B5.1B
Long Term Debt1.0B3.0B3.0B3.0B3.4B3.6B
Treasury Stock(14.1B)(15.4B)(17.3B)(18.5B)(16.6B)(15.8B)
Property Plant Equipment703.9M1.1B1.1B681.4M783.6M809.7M
Current Deferred Revenue212.5M203.9M188.2M188.6M169.7M226.8M
Net Tangible Assets2.2B2.1B(408.3M)(173.9M)(156.5M)(148.7M)
Retained Earnings Total Equity18.4B19.5B20.7B22.1B25.4B17.1B
Capital Surpluse1.3B1.5B1.8B2.1B2.4B2.5B

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.
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 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 tightly coupled with the direction of predictive economic indicators such as signals in unemployment.
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 Portfolio Center module to all portfolio management and optimization tools to improve performance of your portfolios.

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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
8.6
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.