Automatic Historical Income Statement

ADP Stock

USD 244.21 0.13 0.05%

Historical analysis of Automatic Data income statement accounts such as Interest Expense of 305.9 M, Selling General Administrative of 4.3 B or Total Revenue of 20.8 B can show how well Automatic Data Processing performed in making a profits. Evaluating Automatic Data income statement over time to spot trends is a great complementary tool to traditional technical analysis and can indicate the direction of Automatic Data's future profits or losses.

Cash Flow Balance Sheet Income Statement

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Financial Statement Analysis is much more than just reviewing and examining Automatic Data Processing latest accounting reports to predict its past. Macroaxis encourages investors to analyze financial statements over time for various trends across multiple indicators and accounts to determine whether Automatic Data Processing is a good buy for the upcoming year.

Net Income Gross Profit

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 Income Statement Analysis

Automatic Data Processing Income Statement consists of revenues and expenses along with the resulting net income or loss. It represents the profit for the accounting period attributable to Automatic Data shareholders. The income statement also shows Automatic investors and management if the firm made money during the period reported. The result of an income statement is the net income that is calculated after subtracting the expenses from revenue. It is essential to investors both as an absolute measure as well as earnings per share (i.e., EPS).

Automatic Data Income Statement Chart

Automatic Data Processing Income Statement is one of the three primary financial statements used for reporting Automatic's overall financial performance over a current year or for a given accounting period. An Income Statement sometimes referred to as the statement of Automatic Data Processing revenue and expense. Automatic Data Income Statement primarily focuses on the company's revenues and expenses during a particular period.

At this time, Automatic Data's EBIT is relatively stable compared to the past year. As of 04/17/2024, EBITDA is likely to grow to about 6.3 B, while Research Development is likely to drop slightly above 591.6 M.

Selling General Administrative Total Revenue Gross Profit Other Operating Expenses

Total Revenue

Total revenue comprises all receipts Automatic Data Processing generated from the sale of its products or services. The total amount of income generated by the sale of goods or services related to the company's primary 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.

Other Operating Expenses

Other Operating Expenses is the expense which generally does not depend on sales or production quantities of Automatic Data Processing. It is also known as Automatic Data overhead expenses. Typically these expenses include marketing, rent and utilities, office, leases, and other overhead cost. Expenses incurred from non-core business activities, including administrative and general expenses, but excluding costs directly related to production.

Most accounts from Automatic Data's income statement are interrelated and interconnected. However, analyzing income statement accounts 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 income statement accounts, 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.

	2021	2022	2023	2024 (projected)
Gross Profit	6.6B	7.2B	8.3B	8.7B
Total Revenue	16.0B	17.2B	19.8B	20.8B

Gross Profit Total Revenue

Automatic Data income statement Correlations

	Depreciation And Amortization	Interest Expense	Selling General Administrative	Total Revenue	Gross Profit	Other Operating Expenses	Operating Income	Ebit	Ebitda	Cost Of Revenue	Total Operating Expenses	Income Before Tax	Total Other Income Expense Net	Net Income	Income Tax Expense	Research Development	Discontinued Operations	Net Income From Continuing Ops	Non Recurring	Non Operating Income Net Other	Tax Provision	Extraordinary Items	Net Interest Income	Interest Income	Reconciled Depreciation
Depreciation And Amortization		0.84	0.91	0.96	0.97	0.94	0.98	0.98	0.98	0.95	0.71	0.98	-0.24	0.98	0.86	0.74	-0.41	0.81	-0.19	0.17	0.65	-0.13	0.75	0.81	0.89
Interest Expense	0.84		0.77	0.82	0.85	0.78	0.89	0.91	0.9	0.79	0.5	0.88	-0.16	0.89	0.75	0.5	-0.5	0.74	-0.25	0.23	0.73	-0.25	0.87	0.93	0.8
Selling General Administrative	0.91	0.77		0.99	0.97	1.0	0.89	0.91	0.91	0.99	0.82	0.93	-0.09	0.91	0.94	0.83	-0.26	0.66	-0.12	0.13	0.55	-0.25	0.65	0.7	0.68
Total Revenue	0.96	0.82	0.99		1.0	1.0	0.95	0.96	0.96	1.0	0.79	0.97	-0.16	0.96	0.94	0.81	-0.33	0.74	-0.17	0.16	0.62	-0.22	0.72	0.77	0.78
Gross Profit	0.97	0.85	0.97	1.0		0.99	0.97	0.98	0.98	0.99	0.76	0.99	-0.19	0.98	0.93	0.79	-0.36	0.77	-0.18	0.18	0.66	-0.2	0.76	0.81	0.81
Other Operating Expenses	0.94	0.78	1.0	1.0	0.99		0.92	0.93	0.94	1.0	0.81	0.95	-0.13	0.94	0.94	0.83	-0.3	0.7	-0.15	0.13	0.57	-0.24	0.67	0.73	0.74
Operating Income	0.98	0.89	0.89	0.95	0.97	0.92		0.99	0.99	0.92	0.67	0.99	-0.3	1.0	0.86	0.7	-0.44	0.85	-0.23	0.24	0.72	-0.11	0.81	0.87	0.91
Ebit	0.98	0.91	0.91	0.96	0.98	0.93	0.99		1.0	0.94	0.68	0.99	-0.16	1.0	0.9	0.71	-0.41	0.83	-0.23	0.29	0.74	-0.16	0.83	0.88	0.88
Ebitda	0.98	0.9	0.91	0.96	0.98	0.94	0.99	1.0		0.94	0.68	0.99	-0.16	1.0	0.89	0.72	-0.41	0.83	-0.23	0.28	0.73	-0.16	0.82	0.88	0.88
Cost Of Revenue	0.95	0.79	0.99	1.0	0.99	1.0	0.92	0.94	0.94		0.81	0.96	-0.14	0.94	0.93	0.83	-0.31	0.71	-0.15	0.14	0.58	-0.24	0.68	0.73	0.75
Total Operating Expenses	0.71	0.5	0.82	0.79	0.76	0.81	0.67	0.68	0.68	0.81		0.71	-0.07	0.69	0.73	0.97	-0.2	0.73	-0.09	0.04	0.54	-0.28	0.37	0.42	0.63
Income Before Tax	0.98	0.88	0.93	0.97	0.99	0.95	0.99	0.99	0.99	0.96	0.71		-0.18	1.0	0.93	0.75	-0.37	0.81	-0.2	0.29	0.74	-0.12	0.82	0.86	0.85
Total Other Income Expense Net	-0.24	-0.16	-0.09	-0.16	-0.19	-0.13	-0.3	-0.16	-0.16	-0.14	-0.07	-0.18		-0.23	0.02	-0.09	0.19	-0.3	-0.08	0.3	-0.07	-0.33	-0.12	-0.15	-0.38
Net Income	0.98	0.89	0.91	0.96	0.98	0.94	1.0	1.0	1.0	0.94	0.69	1.0	-0.23		0.9	0.73	-0.39	0.83	-0.21	0.27	0.73	-0.13	0.82	0.87	0.88
Income Tax Expense	0.86	0.75	0.94	0.94	0.93	0.94	0.86	0.9	0.89	0.93	0.73	0.93	0.02	0.9		0.79	-0.15	0.63	-0.08	0.37	0.68	-0.07	0.75	0.77	0.64
Research Development	0.74	0.5	0.83	0.81	0.79	0.83	0.7	0.71	0.72	0.83	0.97	0.75	-0.09	0.73	0.79		-0.15	0.75	-0.04	0.11	0.62	-0.14	0.47	0.5	0.66
Discontinued Operations	-0.41	-0.5	-0.26	-0.33	-0.36	-0.3	-0.44	-0.41	-0.41	-0.31	-0.2	-0.37	0.19	-0.39	-0.15	-0.15		-0.48	0.37	-0.05	-0.3	0.49	-0.28	-0.35	-0.49
Net Income From Continuing Ops	0.81	0.74	0.66	0.74	0.77	0.7	0.85	0.83	0.83	0.71	0.73	0.81	-0.3	0.83	0.63	0.75	-0.48		-0.26	0.25	0.85	-0.1	0.68	0.73	0.95
Non Recurring	-0.19	-0.25	-0.12	-0.17	-0.18	-0.15	-0.23	-0.23	-0.23	-0.15	-0.09	-0.2	-0.08	-0.21	-0.08	-0.04	0.37	-0.26		-0.02	-0.15	0.27	-0.13	-0.17	-0.25
Non Operating Income Net Other	0.17	0.23	0.13	0.16	0.18	0.13	0.24	0.29	0.28	0.14	0.04	0.29	0.3	0.27	0.37	0.11	-0.05	0.25	-0.02		0.53	0.23	0.28	0.28	0.16
Tax Provision	0.65	0.73	0.55	0.62	0.66	0.57	0.72	0.74	0.73	0.58	0.54	0.74	-0.07	0.73	0.68	0.62	-0.3	0.85	-0.15	0.53		0.06	0.82	0.82	0.77
Extraordinary Items	-0.13	-0.25	-0.25	-0.22	-0.2	-0.24	-0.11	-0.16	-0.16	-0.24	-0.28	-0.12	-0.33	-0.13	-0.07	-0.14	0.49	-0.1	0.27	0.23	0.06		0.04	-0.04	-0.07
Net Interest Income	0.75	0.87	0.65	0.72	0.76	0.67	0.81	0.83	0.82	0.68	0.37	0.82	-0.12	0.82	0.75	0.47	-0.28	0.68	-0.13	0.28	0.82	0.04		0.99	0.73
Interest Income	0.81	0.93	0.7	0.77	0.81	0.73	0.87	0.88	0.88	0.73	0.42	0.86	-0.15	0.87	0.77	0.5	-0.35	0.73	-0.17	0.28	0.82	-0.04	0.99		0.79
Reconciled Depreciation	0.89	0.8	0.68	0.78	0.81	0.74	0.91	0.88	0.88	0.75	0.63	0.85	-0.38	0.88	0.64	0.66	-0.49	0.95	-0.25	0.16	0.77	-0.07	0.73	0.79

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Automatic Data Account Relationship Matchups

Automatic Data income statement Accounts

	2019	2020	2021	2022	2023	2024 (projected)
Depreciation And Amortization	480M	510.7M	515.1M	549.3M	631.7M	663.3M
Interest Expense	107.1M	59.7M	81.9M	253.3M	291.3M	305.9M
Selling General Administrative	3.0B	3.0B	3.2B	3.6B	4.1B	4.3B
Total Revenue	14.0B	14.6B	16.0B	17.2B	19.8B	20.8B
Gross Profit	5.6B	5.9B	6.6B	7.2B	8.3B	8.7B
Other Operating Expenses	11.4B	11.7B	12.7B	13.5B	15.5B	16.3B
Operating Income	3.3B	3.4B	3.9B	4.5B	5.1B	5.4B
Ebit	3.3B	3.4B	3.9B	4.7B	5.4B	5.7B
Ebitda	3.8B	3.9B	4.4B	5.3B	6.0B	6.3B
Cost Of Revenue	8.4B	8.6B	9.5B	10.0B	11.4B	12.0B
Total Operating Expenses	3.0B	3.0B	3.2B	3.6B	4.1B	2.3B
Income Before Tax	3.2B	3.4B	3.8B	4.4B	5.1B	5.4B
Total Other Income Expense Net	(118.1M)	(58.5M)	(101.8M)	34M	39.1M	29.1M
Net Income	2.5B	2.6B	2.9B	3.4B	3.9B	4.1B
Income Tax Expense	716.1M	762.7M	855.2M	1.0B	1.2B	1.2B
Research Development	674.1M	716.6M	798.6M	844.8M	971.5M	591.6M
Net Income Applicable To Common Shares	2.5B	2.6B	2.9B	3.4B	3.9B	4.1B
Net Income From Continuing Ops	2.5B	2.6B	2.9B	3.4B	3.9B	2.1B
Non Operating Income Net Other	148M	96.3M	82.8M	183.5M	165.2M	173.4M
Tax Provision	716.1M	762.7M	855.2M	1.0B	1.2B	837.9M
Net Interest Income	(107.1M)	(23.2M)	410.9M	709.6M	816.0M	856.8M
Interest Income	84.5M	36.5M	492.8M	962.9M	1.1B	1.2B
Reconciled Depreciation	480M	510.7M	515.1M	549.3M	631.7M	496.2M

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

0.56	VIRC	Virco Manufacturing Report 26th of April 2024	Pair Corr
0.56	LNZA	LanzaTech Global Financial Report 20th of May 2024	Pair Corr
0.52	DSS	DSS Inc Financial Report 21st of May 2024	Pair Corr
0.49	BE	Bloom Energy Corp Financial Report 14th of May 2024	Pair Corr

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 Correlation Correlation 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:

How To Invest In Automatic

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Is Automatic Stock a good investment?

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What is Automatic Data's Net Worth?

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Largest Human Resource & Employment Services Companies

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Largest Commercial & Professional Services Companies

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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 Insider Screener module to find insiders across different sectors to evaluate their impact on performance.

Complementary Tools for Automatic Stock analysis

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.

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Automatic Historical Income Statement

About Automatic Income Statement Analysis

Automatic Data Income Statement Chart

Total Revenue

Gross Profit

Other Operating Expenses

Automatic Data income statement Correlations

Automatic Data Account Relationship Matchups

High Positive Relationship

High Negative Relationship

Automatic Data income statement Accounts

Pair Trading with Automatic Data

Moving against Automatic Stock

Complementary Tools for Automatic Stock analysis

COMMON DESTINATIONS

MAIN CATEGORIES

COMPANY

Other Operating Expenses	+ 1.0	Selling General Administrative
Gross Profit	+ 1.0	Total Revenue
Other Operating Expenses	+ 1.0	Total Revenue
Cost Of Revenue	+ 1.0	Total Revenue
Cost Of Revenue	+ 1.0	Other Operating Expenses
Net Income	+ 1.0	Operating Income

Discontinued Operations	- 0.5	Interest Expense
Reconciled Depreciation	- 0.49	Discontinued Operations
Net Income From Continuing Ops	- 0.48	Discontinued Operations
Discontinued Operations	- 0.44	Operating Income
Discontinued Operations	- 0.41	Ebitda
Discontinued Operations	- 0.41	Ebit