Automatic Operating Income vs Gross Profit Analysis

ADP Stock  USD 244.08  0.23  0.09%   
Automatic Data financial indicator trend analysis is way more than just evaluating Automatic Data Processing prevailing accounting drivers to predict future trends. We encourage investors to analyze account correlations over time for multiple indicators to determine whether Automatic Data Processing is a good investment. Please check the relationship between Automatic Data Operating Income and its Gross Profit accounts. 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.

Operating Income vs Gross Profit

Operating Income vs Gross Profit Correlation Analysis

The overlapping area represents the amount of trend that can be explained by analyzing historical patterns of Automatic Data Processing Operating Income account and Gross Profit. At this time, the significance of the direction appears to have almost identical trend.
The correlation between Automatic Data's Operating Income and Gross Profit is 0.97. Overlapping area represents the amount of variation of Operating Income that can explain the historical movement of Gross Profit in the same time period over historical financial statements of Automatic Data Processing, assuming nothing else is changed. The correlation between historical values of Automatic Data's Operating Income and Gross Profit is a relative statistical measure of the degree to which these accounts tend to move together. The correlation coefficient measures the extent to which Operating Income of Automatic Data Processing are associated (or correlated) with its Gross Profit. Values of the correlation coefficient range from -1 to +1, where. The correlation of zero (0) is possible when Gross Profit has no effect on the direction of Operating Income i.e., Automatic Data's Operating Income and Gross Profit go up and down completely randomly.

Correlation Coefficient

0.97
Relationship DirectionPositive 
Relationship StrengthVery Strong

Operating Income

Operating Income is the amount of profit realized from Automatic Data Processing operations after accounting for operating expenses such as cost of goods sold (COGS), wages and depreciation. Operating income takes the gross income and subtracts other operating expenses and then removes depreciation. Operating Income of Automatic Data Processing is typically a synonym for earnings before interest and taxes (EBIT) and is also commonly referred to as operating profit or recurring profit. Earnings before interest and taxes (EBIT), representing the amount of profit a company generates from its operations.

Gross Profit

Gross profit is a required income statement account that reflects total revenue of Automatic Data Processing minus its cost of goods sold. It is profit before Automatic Data operating expenses, interest payments and taxes. Gross profit is also known as gross margin. The profit a company makes after deducting the costs associated with making and selling its products, or the costs associated with providing its services.
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.
At this time, Automatic Data's Selling General Administrative is relatively stable compared to the past year. As of 04/16/2024, Sales General And Administrative To Revenue is likely to grow to 0.29, while Enterprise Value Over EBITDA is likely to drop 9.76.
 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.

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 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 Pair Correlation module to compare performance and examine fundamental relationship between any two equity instruments.

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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
8.59
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.