Automatic Historical Balance Sheet
ADP Stock | USD 248.90 0.00 0.00% |
Trend analysis of Automatic Data Processing balance sheet accounts such as Short Long Term Debt Total of 4 B, Other Current Liabilities of 46.7 B or Total Current Liabilities of 51.6 B provides information on Automatic Data's total assets, liabilities, and equity, which is the actual value of Automatic Data Processing to its prevalent stockholders. By breaking down trends over time using Automatic Data balance sheet statements, investors will see what precisely the company owns and what it owes to creditors or other parties at the end of each accounting year.
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 Balance Sheet Analysis
Balance Sheet is a snapshot of the financial position of Automatic Data Processing at a specified time, usually calculated after every quarter, six months, or one year. Automatic Data Balance Sheet has two main parts: assets and liabilities. Liabilities are the debts or obligations of Automatic Data and are divided into current liabilities and long term liabilities. An asset, on the other hand, is anything of value that can be converted into cash and which Automatic currently owns. An asset can also be divided into two categories, current and non-current.
Automatic Data Balance Sheet Chart
Automatic Data Balance Sheet is one of the main financial statements that report all assets, liabilities, and shareholders' equity for the current year. It provides a basis for different types of computing rates of return, such as return on equity (ROE) or return on asset (ROA), as well as shows how Automatic Data Processing uses and utilizes its capital. It also shows what exactly a company owns and owes.
At this time, Automatic Data's Net Receivables is relatively stable compared to the past year. As of 05/28/2024, Common Stock Shares Outstanding is likely to grow to about 434.3 M, while Non Current Assets Total are likely to drop slightly above 7.7 B. Add Fundamental
Total Assets
Total assets refers to the total amount of Automatic Data assets owned. Assets are items that have some economic value and are expended over time to create a benefit for the owner. These assets are usually recorded in Automatic Data Processing books under different categories such as cash, marketable securities, accounts receivable,prepaid expenses, inventory, fixed assets, intangible assets, other assets, marketable securities, accounts receivable, prepaid expenses and others. The total value of all owned resources that are expected to provide future economic benefits to the business, including cash, investments, accounts receivable, inventory, property, plant, equipment, and intangible assets.Total Current Liabilities
Total Current Liabilities is an item on Automatic Data balance sheet that include short term debt, accounts payable, accrued salaries payable, payroll taxes payable, accrued liabilities and other debts. Total Current Liabilities of Automatic Data Processing are important to investors because some useful performance ratios such as Current Ratio and Quick Ratio require Total Current Liabilities to be accurate. The total amount of liabilities that a company is expected to pay within one year, including debts, accounts payable, and other short-term financial obligations.Cash And Short Term Investments
Short Term Investments is an account in the current assets section of Automatic Data Processing balance sheet. This account contains Automatic Data investments that will expire within one year. These investments include stocks and bonds that can be liquidated by Automatic Data Processing fairly quickly. The sum of a company's cash on hand, including bank deposits and short-term, highly liquid investments that are easily convertible to known amounts of cash.Long Term Debt
Long-term debt is a debt that Automatic Data Processing has held for over one year. Long-term debt appears on Automatic Data Processing balance sheet and also includes long-term leases. The most common forms of long term debt are bonds payable, long-term notes payable, mortgage payable, pension liabilities, and lease liabilities. In the corporate world, long-term debt is generally used to fund big-ticket items, such as machinery, buildings, and land. The total of long-term debt reported on Automatic Data Processing balance sheet is the sum of the balances of all categories of long-term debt. Debt that is not due within the current year and is often considered to be financing activities that are to be repaid over several years.Most accounts from Automatic Data's balance sheet are interrelated and interconnected. However, analyzing balance sheet 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 balance sheet 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. At this time, Automatic Data's Net Receivables is relatively stable compared to the past year. As of 05/28/2024, Common Stock Shares Outstanding is likely to grow to about 434.3 M, while Non Current Assets Total are likely to drop slightly above 7.7 B.
2021 | 2022 | 2023 | 2024 (projected) | Short and Long Term Debt Total | 3.5B | 3.3B | 3.8B | 4.0B | Total Assets | 63.1B | 51.0B | 58.6B | 61.5B |
Automatic Data balance sheet Correlations
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Automatic Data Account Relationship Matchups
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Automatic Data balance sheet Accounts
2019 | 2020 | 2021 | 2022 | 2023 | 2024 (projected) | ||
Total Assets | 39.2B | 48.8B | 63.1B | 51.0B | 58.6B | 61.5B | |
Short Long Term Debt Total | 2.3B | 3.3B | 3.5B | 3.3B | 3.8B | 4.0B | |
Other Current Liab | 28.8B | 37.7B | 54.7B | 38.6B | 44.4B | 46.7B | |
Total Current Liabilities | 30.1B | 38.1B | 55.2B | 42.8B | 49.2B | 51.6B | |
Total Stockholder Equity | 5.8B | 5.7B | 3.2B | 3.5B | 4.0B | 4.3B | |
Property Plant And Equipment Net | 1.2B | 1.1B | 1.1B | 1.1B | 1.2B | 711.6M | |
Net Debt | 440.5M | 753M | 2.1B | 1.3B | 1.1B | 1.2B | |
Retained Earnings | 18.4B | 19.5B | 20.7B | 22.1B | 25.4B | 26.7B | |
Cash | 1.9B | 2.6B | 1.4B | 2.1B | 2.4B | 1.4B | |
Non Current Assets Total | 7.6B | 8.0B | 8.3B | 8.8B | 10.1B | 7.7B | |
Non Currrent Assets Other | 2.9B | 3.3B | 3.3B | 4.0B | 4.6B | 4.6B | |
Cash And Short Term Investments | 1.9B | 2.6B | 1.4B | 2.1B | 2.4B | 1.6B | |
Net Receivables | 2.4B | 2.7B | 3.2B | 3.0B | 3.5B | 3.6B | |
Good Will | 2.3B | 2.3B | 2.3B | 2.3B | 2.7B | 1.9B | |
Common Stock Shares Outstanding | 432.7M | 428.1M | 421.1M | 415.7M | 374.1M | 434.3M | |
Liabilities And Stockholders Equity | 39.2B | 48.8B | 63.1B | 51.0B | 58.6B | 61.5B | |
Non Current Liabilities Total | 3.3B | 5.0B | 4.7B | 4.7B | 5.4B | 4.8B | |
Inventory | 26.7B | 34.9B | 49.6B | 36.3B | 41.8B | 43.9B | |
Other Current Assets | 506.2M | 533.4M | 50.2B | 743.9M | 855.5M | 812.7M | |
Other Stockholder Equity | (12.7B) | (13.9B) | (15.5B) | (16.4B) | (14.7B) | (14.0B) | |
Total Liab | 33.4B | 43.1B | 59.8B | 47.5B | 54.6B | 57.3B | |
Property Plant And Equipment Gross | 703M | 1.1B | 1.1B | 1.1B | 1.2B | 697.1M | |
Total Current Assets | 31.6B | 40.7B | 54.8B | 42.2B | 48.5B | 50.9B | |
Accumulated Other Comprehensive Income | (14.8M) | 10.6M | (2.0B) | (2.3B) | (2.1B) | (2.0B) | |
Short Term Debt | 1.0B | 23.5M | 136.4M | 3.8B | 4.4B | 4.6B | |
Intangible Assets | 1.2B | 1.2B | 1.3B | 1.3B | 1.5B | 1.1B | |
Accounts Payable | 102M | 141.1M | 110.2M | 96.8M | 111.3M | 138.1M | |
Short Term Investments | 0.0 | 10.4M | 47M | 14.7M | 13.2M | 12.6M | |
Other Liab | 1.9B | 1.7B | 1.3B | 1.4B | 1.2B | 1.2B | |
Other Assets | 2.9B | 3.3B | 3.5B | 4.0B | 3.6B | 5.1B | |
Long Term Debt | 1.0B | 3.0B | 3.0B | 3.0B | 3.4B | 3.6B | |
Treasury Stock | (14.1B) | (15.4B) | (17.3B) | (18.5B) | (16.6B) | (15.8B) | |
Property Plant Equipment | 703.9M | 1.1B | 1.1B | 681.4M | 783.6M | 809.7M | |
Current Deferred Revenue | 212.5M | 203.9M | 188.2M | 188.6M | 169.7M | 226.8M | |
Net Tangible Assets | 2.2B | 2.1B | (408.3M) | (173.9M) | (156.5M) | (148.7M) | |
Retained Earnings Total Equity | 18.4B | 19.5B | 20.7B | 22.1B | 25.4B | 17.1B | |
Capital Surpluse | 1.3B | 1.5B | 1.8B | 2.1B | 2.4B | 2.5B |
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Try AI Portfolio ArchitectCheck 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 Stock Screener module to find equities using a custom stock filter or screen asymmetry in trading patterns, price, volume, or investment outlook..
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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 0.147 | Dividend Share 5.3 | Earnings Share 8.96 | Revenue Per Share 45.972 | Quarterly Revenue Growth 0.066 |
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.