Overview
Quote
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Description
Automatic Data Processing, Inc. si occupa della fornitura di soluzioni di outsourcing aziendale nella gestione del capitale umano basata sul cloud. Opera attraverso i seguenti segmenti di business: Servizi ai datori di lavoro, Servizi alle organizzazioni professionali dei datori di lavoro e Altro. Il segmento Servizi ai datori di lavoro offre ai clienti, dalle piccole imprese con un solo dipendente alle grandi imprese, soluzioni di outsourcing delle risorse umane e di gestione del capitale umano basate sulla tecnologia e sulle piattaforme cloud. Il segmento Professional Employer Organization Services offre alle piccole e medie imprese una soluzione di outsourcing delle risorse umane attraverso una modalità di co-impiego. Il segmento Altro comprende alcuni oneri e spese generali aziendali che non sono stati assegnati ai segmenti oggetto di rendicontazione. L'azienda è stata fondata da Henry Taub nel 1949 e ha sede a Roseland, NJ.
Servizi alle imprese Servizi Business Altri servizi professionali Stati Uniti
Financials
Key metrics
Market capitalisation, EUR | 105.714,59 mln |
EPS, EUR | 8,86 |
P/B ratio | 23,70 |
P/E ratio | 30,86 |
Dividend yield | 1,99% |
Conto economico (2024)
Revenue, EUR | 17.756,00 mln |
Net income, EUR | 3.469,35 mln |
Profit margin | 19,54% |
Quale ETF contiene Automatic Data Processing?
There are 448 ETFs which contain Automatic Data Processing. All of these ETFs are listed in the table below. The ETF with the largest weighting of Automatic Data Processing is the iShares MSCI World Industrials Sector Advanced UCITS ETF USD (Dist).
Savings plan offers
Here you can find information about the savings plan availability for the stock. You can use the table to compare savings plan offers for the selected savings rate.
Source: justETF Research; As of 5/2025; *Affiliate link
— The offers are sorted in the following way: 1. Rating 2. Execution fee 3. Number of stock savings plans. The number of stock savings plans is rounded.
— No guarantee can be given for the completeness and correctness of the information listed. The information provided by the online brokers is decisive. In addition to the indicated broker fees, additional costs (e.g. spreads, gratuities and product costs) may apply.
— The offers are sorted in the following way: 1. Rating 2. Execution fee 3. Number of stock savings plans. The number of stock savings plans is rounded.
— No guarantee can be given for the completeness and correctness of the information listed. The information provided by the online brokers is decisive. In addition to the indicated broker fees, additional costs (e.g. spreads, gratuities and product costs) may apply.
Performance
Returns overview
YTD | -5.95% |
1 month | -4.70% |
3 months | -9.24% |
6 months | -1.84% |
1 year | +16.66% |
3 years | +27.27% |
5 years | +98.24% |
Since inception (MAX) | +247.45% |
2024 | +33.82% |
2023 | -6.13% |
2022 | +2.21% |
2021 | +53.19% |
Monthly returns in a heat map
Risk
Risk metrics in this section:
- Volatility, annualised, measured for 1, 3 and 5 year periods. The annualised volatility reflects the degree of price fluctuations during a one year period. The higher the volatility, the more significantly the price of the asset (stock, ETF, etc.) has changed in the past. Assets with higher volatility are generally considered more risky. We calculate the volatility based on the data for the past 1, 3 and 5 years so that you can see if price fluctuations for the ETF became stronger or weaker over time.
- Return per risk for 1, 3 and 5 year periods. This is the annualised (i.e. converted to a one year period) past return divided by the past annualised volatility. The metric puts the historical return of an asset in relation to its historical risk and gives you a retrospective indication of the degree of price fluctuation you had to bear with in order to obtain the return. We calculate this parameter for 1, 3 and 5 year periods to display its evolution over time.
- Maximum drawdown for a period. This shows the worst possible loss an investor could have suffered during the respective period, by first buying and subsequently selling the asset at the least favourable prices. For example, if there was the following sequence of daily ETF prices: 10€, 5€, 12€, 20€, an investor would have suffered the worst loss by buying for 10€ and subsequently selling for 5€. Therefore in this case the maximum drawdown would be (5€ - 10€)/10€ = -50%.
Risk overview
Volatility 1 year | 18.58% |
Volatility 3 years | 20.75% |
Volatility 5 years | 21.85% |
Return per risk 1 year | 0.87 |
Return per risk 3 years | 0.43 |
Return per risk 5 years | 0.65 |
Maximum drawdown 1 year | -13.82% |
Maximum drawdown 3 years | -24.19% |
Maximum drawdown 5 years | -24.19% |
Maximum drawdown since inception | -33.11% |
Rolling 1 year volatility
— Data provided by Trackinsight, etfinfo, Xignite Inc., gettex, FactSet and justETF GmbH.
Quotes are either real-time (gettex) or 15 minutes delayed stock exchange quotes or NAVs (daily published by the fund provider). By default, ETF returns include dividend payments (if applicable). There is no warranty for completeness, accuracy and correctness for the displayed information.
Quotes are either real-time (gettex) or 15 minutes delayed stock exchange quotes or NAVs (daily published by the fund provider). By default, ETF returns include dividend payments (if applicable). There is no warranty for completeness, accuracy and correctness for the displayed information.
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