Automatic Historical Income Statement

ADP Stock

USD 295.57 1.24 0.42%

Historical analysis of Automatic Data income statement accounts such as Interest Expense of 379.5 M, Selling General Administrative of 2 B or Total Revenue of 20.2 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 closely tied 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

At this time, Automatic Data's Cost Of Revenue is relatively stable compared to the past year. As of 12/17/2024, Income Before Tax is likely to grow to about 5.1 B, while Total Operating Expenses is likely to drop slightly above 2.4 B.

Interest Expense Selling General Administrative Total Revenue Other Operating Expenses Cost Of Revenue Reconciled Depreciation

Interest Expense

The cost incurred by an entity for borrowed funds, including loans, bonds, or lines of credit.

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.

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.

Cost Of Revenue

Cost of Revenue is found on Automatic Data Processing income statement and represents the costs associated with goods and services Automatic Data provides. Indirect cost, such as salaries, is not included. In other words, cost of revenue is the total cost incurred to obtain a sale. It is more than the traditional cost of goods sold, since it includes specific selling and marketing activities.

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 closely tied with the direction of predictive economic indicators such as signals in unemployment.

	2021	2022	2023	2024 (projected)
Gross Profit	7.0B	8.1B	8.7B	9.2B
Total Revenue	16.5B	18.0B	19.2B	20.2B

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	Selling And Marketing Expenses
Depreciation And Amortization		0.5	0.88	0.8	0.78	0.8	0.78	0.77	0.78	0.81	0.89	0.78	-0.27	0.79	0.65	0.89	-0.37	0.89	-0.17	0.07	0.58	-0.17	0.37	0.59	0.83	-0.26
Interest Expense	0.5		0.35	0.79	0.85	0.72	0.88	0.89	0.88	0.72	0.49	0.86	-0.36	0.87	0.73	0.49	-0.46	0.73	-0.23	0.23	0.76	-0.2	0.07	0.55	0.76	-0.9
Selling General Administrative	0.88	0.35		0.75	0.68	0.81	0.6	0.61	0.62	0.8	0.98	0.65	-0.08	0.63	0.69	0.95	-0.17	0.66	-0.08	0.0	0.42	-0.29	0.26	0.41	0.51	-0.1
Total Revenue	0.8	0.79	0.75		0.99	0.99	0.95	0.96	0.96	0.99	0.82	0.98	-0.28	0.97	0.93	0.84	-0.34	0.78	-0.17	0.15	0.65	-0.22	0.21	0.57	0.8	-0.66
Gross Profit	0.78	0.85	0.68	0.99		0.96	0.98	0.98	0.98	0.96	0.76	0.99	-0.33	0.99	0.92	0.8	-0.37	0.82	-0.19	0.19	0.72	-0.18	0.24	0.62	0.85	-0.74
Other Operating Expenses	0.8	0.72	0.81	0.99	0.96		0.9	0.91	0.92	1.0	0.85	0.94	-0.23	0.92	0.92	0.87	-0.29	0.72	-0.15	0.11	0.56	-0.26	0.18	0.51	0.73	-0.57
Operating Income	0.78	0.88	0.6	0.95	0.98	0.9		0.99	0.99	0.9	0.69	0.99	-0.43	1.0	0.85	0.72	-0.44	0.88	-0.23	0.24	0.76	-0.12	0.23	0.64	0.92	-0.75
Ebit	0.77	0.89	0.61	0.96	0.98	0.91	0.99		1.0	0.92	0.71	0.99	-0.3	1.0	0.89	0.73	-0.42	0.85	-0.24	0.29	0.77	-0.17	0.22	0.63	0.89	-0.77
Ebitda	0.78	0.88	0.62	0.96	0.98	0.92	0.99	1.0		0.92	0.71	0.99	-0.3	1.0	0.88	0.74	-0.42	0.86	-0.23	0.28	0.76	-0.17	0.22	0.63	0.89	-0.76
Cost Of Revenue	0.81	0.72	0.8	0.99	0.96	1.0	0.9	0.92	0.92		0.85	0.94	-0.24	0.93	0.92	0.86	-0.3	0.73	-0.15	0.12	0.57	-0.26	0.19	0.52	0.74	-0.58
Total Operating Expenses	0.89	0.49	0.98	0.82	0.76	0.85	0.69	0.71	0.71	0.85		0.74	-0.13	0.72	0.76	0.97	-0.21	0.74	-0.1	0.04	0.53	-0.28	0.22	0.44	0.6	-0.23
Income Before Tax	0.78	0.86	0.65	0.98	0.99	0.94	0.99	0.99	0.99	0.94	0.74		-0.32	1.0	0.92	0.78	-0.37	0.84	-0.2	0.29	0.76	-0.13	0.23	0.62	0.86	-0.75
Total Other Income Expense Net	-0.27	-0.36	-0.08	-0.28	-0.33	-0.23	-0.43	-0.3	-0.3	-0.24	-0.13	-0.32		-0.36	-0.12	-0.15	0.21	-0.4	-0.07	0.21	-0.24	-0.32	-0.07	-0.25	-0.48	0.31
Net Income	0.79	0.87	0.63	0.97	0.99	0.92	1.0	1.0	1.0	0.93	0.72	1.0	-0.36		0.89	0.75	-0.4	0.86	-0.22	0.27	0.76	-0.13	0.24	0.64	0.9	-0.75
Income Tax Expense	0.65	0.73	0.69	0.93	0.92	0.92	0.85	0.89	0.88	0.92	0.76	0.92	-0.12	0.89		0.82	-0.14	0.65	-0.08	0.38	0.7	-0.08	0.18	0.5	0.62	-0.69
Research Development	0.89	0.49	0.95	0.84	0.8	0.87	0.72	0.73	0.74	0.86	0.97	0.78	-0.15	0.75	0.82		-0.15	0.74	-0.04	0.1	0.6	-0.14	0.3	0.49	0.62	-0.3
Discontinued Operations	-0.37	-0.46	-0.17	-0.34	-0.37	-0.29	-0.44	-0.42	-0.42	-0.3	-0.21	-0.37	0.21	-0.4	-0.14	-0.15		-0.49	0.37	-0.05	-0.31	0.49	-0.11	-0.33	-0.51	0.26
Net Income From Continuing Ops	0.89	0.73	0.66	0.78	0.82	0.72	0.88	0.85	0.86	0.73	0.74	0.84	-0.4	0.86	0.65	0.74	-0.49		-0.27	0.25	0.83	-0.1	0.4	0.72	0.94	-0.51
Non Recurring	-0.17	-0.23	-0.08	-0.17	-0.19	-0.15	-0.23	-0.24	-0.23	-0.15	-0.1	-0.2	-0.07	-0.22	-0.08	-0.04	0.37	-0.27		-0.02	-0.16	0.27	-0.07	-0.18	-0.27	0.12
Non Operating Income Net Other	0.07	0.23	0.0	0.15	0.19	0.11	0.24	0.29	0.28	0.12	0.04	0.29	0.21	0.27	0.38	0.1	-0.05	0.25	-0.02		0.56	0.23	0.09	0.2	0.15	-0.3
Tax Provision	0.58	0.76	0.42	0.65	0.72	0.56	0.76	0.77	0.76	0.57	0.53	0.76	-0.24	0.76	0.7	0.6	-0.31	0.83	-0.16	0.56		0.06	0.38	0.68	0.72	-0.69
Extraordinary Items	-0.17	-0.2	-0.29	-0.22	-0.18	-0.26	-0.12	-0.17	-0.17	-0.26	-0.28	-0.13	-0.32	-0.13	-0.08	-0.14	0.49	-0.1	0.27	0.23	0.06		0.04	-0.08	-0.07	-0.02
Net Interest Income	0.37	0.07	0.26	0.21	0.24	0.18	0.23	0.22	0.22	0.19	0.22	0.23	-0.07	0.24	0.18	0.3	-0.11	0.4	-0.07	0.09	0.38	0.04		0.87	0.33	-0.17
Interest Income	0.59	0.55	0.41	0.57	0.62	0.51	0.64	0.63	0.63	0.52	0.44	0.62	-0.25	0.64	0.5	0.49	-0.33	0.72	-0.18	0.2	0.68	-0.08	0.87		0.68	-0.57
Reconciled Depreciation	0.83	0.76	0.51	0.8	0.85	0.73	0.92	0.89	0.89	0.74	0.6	0.86	-0.48	0.9	0.62	0.62	-0.51	0.94	-0.27	0.15	0.72	-0.07	0.33	0.68		-0.61
Selling And Marketing Expenses	-0.26	-0.9	-0.1	-0.66	-0.74	-0.57	-0.75	-0.77	-0.76	-0.58	-0.23	-0.75	0.31	-0.75	-0.69	-0.3	0.26	-0.51	0.12	-0.3	-0.69	-0.02	-0.17	-0.57	-0.61

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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	561.9M	323.3M
Interest Expense	107.1M	59.7M	81.9M	253.3M	361.4M	379.5M
Selling General Administrative	3.0B	3.0B	3.2B	3.5B	3.7B	2.0B
Total Revenue	14.0B	15.0B	16.5B	18.0B	19.2B	20.2B
Gross Profit	5.6B	6.4B	7.0B	8.1B	8.7B	9.2B
Other Operating Expenses	11.4B	11.7B	12.7B	13.5B	14.2B	14.9B
Operating Income	3.3B	3.3B	3.8B	4.5B	5.0B	5.2B
Ebit	3.3B	3.4B	3.9B	4.7B	5.2B	5.5B
Ebitda	3.8B	3.9B	4.4B	5.2B	5.8B	6.1B
Cost Of Revenue	8.4B	8.6B	9.5B	10.0B	10.5B	11.0B
Total Operating Expenses	3.0B	3.0B	3.2B	3.6B	4.2B	2.4B
Income Before Tax	3.2B	3.4B	3.8B	4.4B	4.9B	5.1B
Total Other Income Expense Net	(118.1M)	36.6M	900K	(69.8M)	(104.9M)	(99.7M)
Net Income	2.5B	2.6B	2.9B	3.4B	3.8B	3.9B
Income Tax Expense	716.1M	762.7M	855.2M	1.0B	1.1B	1.2B
Research Development	674.1M	716.6M	798.6M	844.8M	955.7M	606.6M
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	3.8B	2.2B
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	1.1B	877.4M
Net Interest Income	(107.1M)	(23.2M)	410.9M	709.6M	(120.1M)	(114.1M)
Interest Income	84.5M	36.5M	492.8M	962.9M	241.3M	253.9M
Reconciled Depreciation	480M	510.7M	515.1M	549.3M	561.9M	511.5M

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 together with Automatic Stock

0.85	DJCO	Daily Journal Corp	Pair Corr
0.72	AI	C3 Ai Inc Buyout Trend	Pair Corr
0.91	BL	Blackline	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

Additional 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.

Macroaxis helps investors of all levels and skills to maximize the upside of all their holdings and minimize the risk associated with market volatility, economic swings, and company-specific events. View terms and conditions

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Automatic Historical Income Statement

About Automatic Income Statement Analysis

Automatic Data Income Statement Chart

Interest Expense

Total Revenue

Other Operating Expenses

Cost Of Revenue

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 together with Automatic Stock

Additional Tools for Automatic Stock Analysis

COMMON DESTINATIONS

MAIN CATEGORIES

COMPANY

Cost Of Revenue	+ 1.0	Other Operating Expenses
Net Income	+ 1.0	Operating Income
Ebitda	+ 1.0	Ebit
Net Income	+ 1.0	Ebit
Net Income	+ 1.0	Ebitda
Net Income	+ 1.0	Income Before Tax

Selling And Marketing Expenses	- 0.9	Interest Expense
Selling And Marketing Expenses	- 0.77	Ebit
Selling And Marketing Expenses	- 0.76	Ebitda
Selling And Marketing Expenses	- 0.75	Net Income
Selling And Marketing Expenses	- 0.75	Income Before Tax
Selling And Marketing Expenses	- 0.75	Operating Income