How many employees does Automatic Data Processing have this year?
Automatic Data Processing has 58,000 undefined employees this year.
In 2024, Automatic Data Processing employed 58,000 people, a 0% change from the 58,000 number of employees in the previous year.
In the annual report of the Automatic Data Processing share (US0530151036, 850347, ADP), it breaks down its revenues into 2 segments: 1. Employer Services, 2. Professional Employer Organization Service. The Automatic Data Processing stock (WKN: 850347, ISIN: US0530151036, Ticker Symbol: ADP) is a leading investment for investors interested in participating in the Information Technology sector.
Automatic Data Processing's employees are a pivotal aspect of its operations, driving innovation, productivity, and growth. The size and composition of the workforce offer insights into the company's scale, diversity, and investment in human capital. Analyzing employee trends and data is essential for understanding Automatic Data Processing's operational capacity and future potential.
Assessing Automatic Data Processing's employee numbers year-over-year helps in identifying growth patterns, expansions, or contractions. An increasing employee count can indicate scaling operations and investment in talent, while a decrease may signal efficiency improvements, automation, or business challenges.
Automatic Data Processing's employee data impacts investment decisions by shedding light on the company’s operational efficiency, innovation capability, and sustainability. Investors assess workforce data to gauge the firm's potential to execute strategies, innovate, and adapt to market changes effectively.
Fluctuations in Automatic Data Processing’s employee numbers indicate changes in business strategy, operational demands, and market dynamics. Investors and analysts scrutinize these trends to evaluate the company’s strategic positioning, adaptability, and potential for sustainable growth.
Automatic Data Processing has 58,000 undefined employees this year.
Compared to the previous year, Automatic Data Processing had 0% more employees.
The number of employees has a direct impact on the efficiency and productivity of Automatic Data Processing. A higher number of employees can indicate that the company is growing and has more resources to achieve its goals, while a lower number of employees may suggest that the company is saving costs or facing difficulties in recruiting new employees.
The number of employees can also have an impact on investors of Automatic Data Processing, as it can be an indicator of the company's growth and financial health. A higher number of employees can promise investors, while a lower number of employees may raise concerns.
An increase in equity of Automatic Data Processing can improve the financial strength of the company and increase its ability to make future investments and fulfill obligations.
A reduction in equity of Automatic Data Processing can impair its financial stability and decrease its ability to fulfill future investments and obligations.
Some factors that can influence the equity of Automatic Data Processing include, among others, revenue development, profit and loss statement, dividend payments, and investments.
The equity of Automatic Data Processing is important for investors as it is an indicator of the company's financial stability and provides investors with information on the amount of financial backing the company has in terms of obligations and future investments.
The number of employees at Automatic Data Processing can directly impact the growth and performance of the company. A higher number of employees can lead to increased capacity and productivity, while a lower number of employees may result in reduced efficiency and limitations.
In recent years, the number of employees at Automatic Data Processing has changed by 0.
Automatic Data Processing currently has 58,000 undefined employees.
The number of employees is important for investors of Automatic Data Processing as it is an indicator of the growth potential and performance of the company. It also provides information on how the company is able to manage and recruit its workforce.
To change the number of employees, Automatic Data Processing can take various measures such as adjusting compensation packages, improving working conditions, conducting recruitment campaigns, and promoting a positive corporate culture. It is important for the company to conduct a thorough assessment of its situation to determine the best strategic actions to change its number of employees.
Over the past 12 months, Automatic Data Processing paid a dividend of 5.15 USD . This corresponds to a dividend yield of about 2.07 %. For the coming 12 months, Automatic Data Processing is expected to pay a dividend of 6.9 USD.
The current dividend yield of Automatic Data Processing is 2.07 %.
Automatic Data Processing pays a quarterly dividend. This is distributed in the months of July, October, January, April.
Automatic Data Processing paid dividends every year for the past 50 years.
For the upcoming 12 months, dividends amounting to 6.9 USD are expected. This corresponds to a dividend yield of 2.78 %.
Automatic Data Processing is assigned to the 'Information technology' sector.
To receive the latest dividend of Automatic Data Processing from 4/1/2024 amounting to 1.4 USD, you needed to have the stock in your portfolio before the ex-date on 3/7/2024.
The last dividend was paid out on 4/1/2024.
In the year 2023, Automatic Data Processing distributed 4.37 USD as dividends.
The dividends of Automatic Data Processing are distributed in USD.
The Automatic Data Processing stock can be added to a savings plan with the following providers: Trade Republic and Consorsbank
Our stock analysis for Automatic Data Processing Revenue stock includes important financial indicators such as revenue, profit, P/E ratio, P/S ratio, EBIT, as well as information on dividends. We also assess aspects such as stocks, market capitalization, debt, equity, and liabilities of Automatic Data Processing Revenue. If you are looking for more detailed information on these topics, we offer comprehensive analyses on our subpages.