Automatic Data Financials
| ADP Stock | EUR 206.25 0.75 0.36% |
Automatic Data Balance Sheet Chart
| Current Value | Last Year | Change From Last Year | 10 Year Trend | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Operating Income | 3.5 B | 6.2 B |
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Automatic | Select Account or Indicator |
Understanding current and past Automatic Data Financials, including the trends in assets, liabilities, equity and income are directly related to making proper and timely investing decisions. All of Automatic Data's financial statements are interrelated, with each one affecting the others. For example, an increase in Automatic Data's assets may result in an increase in income on the income statement.
Automatic Data Stock Summary
Automatic Data competes with SCOTT TECHNOLOGY, CECO ENVIRONMENTAL, Robosense Technology, Wayside Technology, and Worthington Steel,. Automatic Data Processing, Inc. provides business process outsourcing services worldwide. The company was founded in 1949 and is headquartered in Roseland, New Jersey. AUTOM DATA is traded on Frankfurt Stock Exchange in Germany.| Foreign Associates | |
Specialization | Industrials, Commercial & Professional Services |
| Instrument | Germany Stock View All |
| Exchange | Frankfurt Exchange |
| ISIN | US0530151036 |
| Business Address | One ADP Boulevard, |
| Sector | Professional Services |
| Industry | Industrials |
| Benchmark | Dow Jones Industrial |
| Website | www.adp.com |
| Phone | 973 974 5000 |
| Currency | EUR - Euro |
You should never invest in Automatic Data without having analyzed its financial statements. Do not rely on someone else's analysis or guesses about the future performance of Automatic Stock, because this is throwing your money away. Analyzing the key information contained in Automatic Data's financial statements can give you an edge over other investors and help to ensure that your investments perform well for you.
Automatic Data Key Financial Ratios
There are many critical financial ratios that Automatic Data's investors are exposed to on a daily basis, but they are usually grouped into few meaningful categories from each financial statement that Automatic Data Processing reports annually and quarterly.| Revenue | 20.56 B | |||
| Gross Profit | 10.26 B | |||
| EBITDA | 6.19 B | |||
| Net Income | 4.08 B | |||
| Total Asset | 53.37 B |
Automatic Data Key Balance Sheet Accounts
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (projected) | ||
| Total Assets | 63.1B | 51.0B | 54.4B | 53.4B | 61.4B | 49.0B | |
| Other Current Liab | 51.9B | 39.3B | 39.5B | 31.4B | 36.1B | 35.6B | |
| Other Liab | 1.9B | 1.7B | 1.3B | 1.4B | 1.6B | 1.6B | |
| Net Tangible Assets | 2.2B | 2.1B | (408.3M) | (173.9M) | (156.5M) | (148.7M) | |
| Retained Earnings | 20.7B | 22.1B | 23.6B | 25.2B | 29.0B | 20.1B | |
| Accounts Payable | 110.2M | 96.8M | 100.6M | 169.1M | 152.2M | 108.6M | |
| Cash | 1.4B | 2.1B | 2.9B | 3.3B | 3.8B | 2.5B | |
| Other Assets | 2.9B | 3.3B | 3.5B | 4.0B | 4.6B | 2.8B | |
| Long Term Debt | 3.0B | 3.0B | 3.0B | 4.0B | 4.6B | 2.3B | |
| Net Receivables | 3.2B | 3.0B | 3.4B | 3.6B | 4.1B | 2.7B | |
| Good Will | 2.3B | 2.3B | 2.4B | 3.3B | 3.8B | 2.4B | |
| Other Current Assets | 50.2B | 37.1B | 1.2B | 840.8M | 756.7M | 718.9M | |
| Total Liab | 59.8B | 47.5B | 49.8B | 47.2B | 54.3B | 43.7B | |
| Short Long Term Debt | 136.4M | 105.4M | 385.4M | 4.8B | 5.5B | 5.8B | |
| Total Current Assets | 54.8B | 42.2B | 45.5B | 43.3B | 49.7B | 41.5B | |
| Intangible Assets | 1.3B | 1.3B | 1.3B | 1.6B | 1.8B | 1.1B | |
| Net Invested Capital | 6.3B | 6.5B | 7.9B | 14.9B | 17.2B | 8.7B | |
| Net Working Capital | (353.8M) | (597M) | 462.5M | 2.0B | 1.8B | 1.0B | |
| Net Debt | 1.7B | 905.5M | 463.3M | 5.4B | 6.2B | 6.5B |
Automatic Data Key Income Statement Accounts
An income statement is very similar to a cash flow statement, but instead of showing net revenue minus expenses, it only includes earnings before interest and taxes (EBIT). This number does not have all of the same line items that are on a cash flow statement, but it leaves out non-cash expenses like depreciation and amortization. For example, if you bought $100 worth of goods from Walmart (WMT) using your debit card that has an interest rate of 20%, then paid off the balance at the end of the month with a credit card that charges 30% interest, you would have an income statement showing EBIT of $80 because your expenses are lower than the amount that went into your pocket.
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (projected) | ||
| Interest Expense | 81.9M | 253.3M | 361.4M | 455.9M | 524.3M | 550.5M | |
| Total Revenue | 16.0B | 17.2B | 19.2B | 20.6B | 23.6B | 16.1B | |
| Gross Profit | 6.6B | 7.2B | 8.7B | 9.5B | 10.9B | 6.9B | |
| Operating Income | 3.4B | 3.7B | 4.9B | 5.4B | 6.2B | 3.5B | |
| Ebit | 3.2B | 3.4B | 3.8B | 4.6B | 5.2B | 3.3B | |
| Cost Of Revenue | 9.5B | 10.0B | 10.5B | 11.1B | 12.8B | 9.2B | |
| Income Before Tax | 3.8B | 4.4B | 4.9B | 5.3B | 6.1B | 3.6B | |
| Net Income | 2.9B | 3.4B | 3.8B | 4.1B | 4.7B | 2.7B | |
| Income Tax Expense | 716.1M | 762.7M | 855.2M | 1.0B | 1.2B | 810.8M | |
| Tax Provision | 855.2M | 1.0B | 1.1B | 1.2B | 1.4B | 936.4M | |
| Net Interest Income | 410.9M | 709.6M | (120.1M) | (136.4M) | (156.9M) | (149.0M) | |
| Interest Income | 492.8M | 962.9M | 241.3M | 319.5M | 367.4M | 270.3M | |
| Ebitda | 3.8B | 3.9B | 4.4B | 5.2B | 6.0B | 4.2B |
Automatic Data Key Cash Accounts
Cash flow analysis captures how much money flows into and out of Automatic Data Processing. It measures of how well Automatic is doing because it can show the actual money that comes into and out of the Company from sales instead of measuring expenses against revenue to determine earnings. You have to read the cash flow statement in three sections. The first section shows how much money Automatic Data brought in, usually known as net revenue or sales. This is different from earnings because it does not include expenses when determining net revenue for use on this part of the cash flow statement. Next, are operating activities, which show how much money Automatic had leftover after paying for its expenses. This number can be calculated in two ways: by subtracting the total of all operating expenses from net revenue or by adding up changes to cash and other assets or liabilities on this part of the statement. The third section is about investing activities, which shows what Automatic Data has done with the money that it received from the sale of assets or what it spent to acquire new ones. This section can be broken down into two parts: investing in existing businesses (capital allocation) and investing in non-business activities like paying off debt or making acquisitions.
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (projected) | ||
| Investments | (6.5B) | (1.9B) | (795.8M) | (1.3B) | (1.5B) | (1.6B) | |
| Change In Cash | 9.6B | (14.0B) | 1.3B | (5.0B) | (4.5B) | (4.3B) | |
| Net Borrowings | 127.4M | (45.7M) | (900K) | 5.7B | 6.6B | 6.9B | |
| Depreciation | 515.1M | 549.3M | 561.9M | 582.4M | 669.8M | 470.7M | |
| Dividends Paid | 1.7B | 1.9B | 2.2B | 2.4B | 2.8B | 1.6B | |
| Capital Expenditures | 174.4M | 206.3M | 563.4M | 547M | 629.1M | 660.5M | |
| Net Income | 2.9B | 3.4B | 3.8B | 4.1B | 4.7B | 2.7B | |
| Change To Netincome | 284.7M | (13.8M) | 318.6M | 192.1M | 172.9M | 206.6M | |
| End Period Cash Flow | 22.8B | 8.8B | 10.1B | 5.1B | 5.8B | 9.5B | |
| Free Cash Flow | 2.5B | 3.6B | 3.6B | 4.4B | 5.1B | 3.1B | |
| Other Non Cash Items | 987.9M | 1.1B | 1.1B | 1.2B | 1.3B | 881.8M |
Automatic Financial Ratios Relationships
Comparative valuation techniques use various fundamental indicators to help in determining Automatic Data's current stock value. Our valuation model uses many indicators to compare Automatic Data value to that of its competitors to determine the firm's financial worth. You can analyze the relationship between different fundamental ratios across Automatic Data competition to find correlations between indicators driving Automatic Data's intrinsic value. More Info.Automatic Data Processing is number one stock in return on equity category among its peers. It also is number one stock in return on asset category among its peers reporting about 0.06 of Return On Asset per Return On Equity. The ratio of Return On Equity to Return On Asset for Automatic Data Processing is roughly 15.68 . The reason why the comparable model can be used in almost all circumstances is due to the vast number of multiples that can be utilized, such as the price-to-earnings (P/E), price-to-book (P/B), price-to-sales (P/S), price-to-cash flow (P/CF), and many others. The P/E ratio is the most commonly used of these ratios because it focuses on the Automatic Data's earnings, one of the primary drivers of an investment's value.Automatic Data Processing Total Assets Over Time
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 closely tied with the direction of predictive economic indicators such as signals in industry. The Automatic Data's current Discontinued Operations is estimated to increase to about (769.5 K). The current Selling General Administrative is estimated to decrease to about 3.4 B
| 2023 | 2024 | 2025 | 2026 (projected) | Gross Profit | 8.7B | 9.5B | 10.9B | 6.9B | Total Revenue | 19.2B | 20.6B | 23.6B | 16.1B |
Automatic Data fundamental ratios Correlations
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Automatic Data Account Relationship Matchups
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Automatic Data fundamental ratios Accounts
| 2021 | 2022 | 2023 | 2024 | 2025 | 2026 (projected) | ||
| Total Assets | 63.1B | 51.0B | 54.4B | 53.4B | 61.4B | 49.0B | |
| Other Current Liab | 51.9B | 39.3B | 39.5B | 31.4B | 36.1B | 35.6B | |
| Other Liab | 1.9B | 1.7B | 1.3B | 1.4B | 1.6B | 1.6B | |
| Net Tangible Assets | 2.2B | 2.1B | (408.3M) | (173.9M) | (156.5M) | (148.7M) | |
| Retained Earnings | 20.7B | 22.1B | 23.6B | 25.2B | 29.0B | 20.1B | |
| Accounts Payable | 110.2M | 96.8M | 100.6M | 169.1M | 152.2M | 108.6M | |
| Cash | 1.4B | 2.1B | 2.9B | 3.3B | 3.8B | 2.5B | |
| Other Assets | 2.9B | 3.3B | 3.5B | 4.0B | 4.6B | 2.8B | |
| Long Term Debt | 3.0B | 3.0B | 3.0B | 4.0B | 4.6B | 2.3B | |
| Net Receivables | 3.2B | 3.0B | 3.4B | 3.6B | 4.1B | 2.7B | |
| Good Will | 2.3B | 2.3B | 2.4B | 3.3B | 3.8B | 2.4B | |
| Other Current Assets | 50.2B | 37.1B | 1.2B | 840.8M | 756.7M | 718.9M | |
| Total Liab | 59.8B | 47.5B | 49.8B | 47.2B | 54.3B | 43.7B | |
| Short Long Term Debt | 136.4M | 105.4M | 385.4M | 4.8B | 5.5B | 5.8B | |
| Total Current Assets | 54.8B | 42.2B | 45.5B | 43.3B | 49.7B | 41.5B | |
| Intangible Assets | 1.3B | 1.3B | 1.3B | 1.6B | 1.8B | 1.1B | |
| Net Invested Capital | 6.3B | 6.5B | 7.9B | 14.9B | 17.2B | 8.7B | |
| Net Working Capital | (353.8M) | (597M) | 462.5M | 2.0B | 1.8B | 1.0B | |
| Net Debt | 1.7B | 905.5M | 463.3M | 5.4B | 6.2B | 6.5B |
Automatic Data Thematic Clasifications
Automatic Data Processing is part of Data Storage investing theme. If you are a theme-oriented, socially responsible, and at the same time, a result-driven investor, you can align your investing habits with your values without jeopardizing your expectations about returns. You can easily create an optimal portfolio of stocks, ETFs, funds, or cryptocurrencies based on a specific theme of your liking. Data Storage. Companies making data storages or providing data storage services
This theme covers Data Storage. Companies making data storages or providing data storage services. Get More Thematic Ideas
| Data Storage | View |
Automatic Data February 3, 2026 Opportunity Range
Along with financial statement analysis, the daily predictive indicators of Automatic Data help investors to analyze its daily demand and supply, volume, patterns, and price swings to determine the real value of Automatic Data Processing. We use our internally-developed statistical techniques to arrive at the intrinsic value of Automatic Data Processing based on widely used predictive technical indicators. In general, we focus on analyzing Automatic Stock price patterns and their correlations with different microeconomic environment and drivers. We also apply predictive analytics to build Automatic Data's daily price indicators and compare them against related drivers.
| Information Ratio | (0.22) | |||
| Maximum Drawdown | 5.85 | |||
| Value At Risk | (2.36) | |||
| Potential Upside | 1.81 |
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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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