Automatic Historical Income Statement
ADP Stock | USD 306.93 0.01 0% |
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.
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.
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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
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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.Tax Provision
The amount set aside by a company to cover any estimated taxes for the current period. It reflects the company's expected tax liabilities.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. At this time, Automatic Data's Cost Of Revenue is relatively stable compared to the past year. As of 12/01/2024, 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.
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 |
Automatic Data income statement Correlations
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Automatic Data Account Relationship Matchups
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High Negative Relationship
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
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0.95 | BL | Blackline | PairCorr |
0.69 | DT | Dynatrace Holdings LLC | PairCorr |
Moving against Automatic Stock
0.61 | VERB | VERB TECHNOLOGY PANY Tech Boost | PairCorr |
0.59 | VTEX | VTEX | PairCorr |
0.35 | DMAN | Innovativ Media Group | PairCorr |
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.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.