Compare Automatic Data Processing Inc (ADP) vs Amplify Transformational Data Sharing ETF (BLOK) Price & Performance
Price performance (Past 24H)
Key statistics
Key statistics
Automatic Data Processing Inc vs Amplify Transformational Data Sharing ETF — how do they compare? Automatic Data Processing Inc trades at $270.31 (market cap $107.69B), while Amplify Transformational Data Sharing ETF trades at $59.16. The key difference: Automatic Data Processing Inc pays a 2.51% dividend while Amplify Transformational Data Sharing ETF pays none, and Automatic Data Processing Inc is trading nearer its 52-week high, Amplify Transformational Data Sharing ETF nearer its low. Which is the better fit depends on your goals.
| ADP | BLOK | |
|---|---|---|
Market Cap | $107.69B | — |
Sector | Industrials | — |
52-Week High | $309.03 | $74.10 |
52-Week Low | $188.79 | $47.36 |
Enterprise Value | $108.73B | — |
Dividend Yield | 2.51% | — |
Returns comparison
Trailing returns across standard periods
Returns comparison
Trailing returns across standard periods
Top news
Latest headlines on both assets
Top news
Latest headlines on both assets
About Automatic Data Processing Inc
ADP is a provider of payroll and human capital management solutions servicing the full scope of businesses from micro to global enterprises. ADP was established in 1949 and serves over 990,000 clients primarily in the United States. ADP's employer services segment offers payroll, HCM solutions, HR outsourcing, insurance and retirement services. The smaller but faster-growing PEO segment provides HR outsourcing solutions to small and midsize businesses through a co-employment model.
Read more on ADP →About Amplify Transformational Data Sharing ETF
The fund is an actively managed ETF that seeks to provide total return by investing at least 80% of its net assets in the equity securities of companies actively involved in the development and utilization of "transformational data sharing technologies". It may invest in non-US equity securities, including depositary receipts.
Read more on BLOK →
