| __timestamp | Automatic Data Processing, Inc. | Jacobs Engineering Group Inc. |
|---|---|---|
| Wednesday, January 1, 2014 | 2616900000 | 699015000 |
| Thursday, January 1, 2015 | 2355100000 | 598932000 |
| Friday, January 1, 2016 | 2579500000 | 431954000 |
| Sunday, January 1, 2017 | 2927200000 | 527765000 |
| Monday, January 1, 2018 | 2762900000 | 606328000 |
| Tuesday, January 1, 2019 | 3544500000 | 604075000 |
| Wednesday, January 1, 2020 | 3769700000 | 685042000 |
| Friday, January 1, 2021 | 3931600000 | 1019116000 |
| Saturday, January 1, 2022 | 4405500000 | 1277649000 |
| Sunday, January 1, 2023 | 5244600000 | 1392039000 |
| Monday, January 1, 2024 | 5800000000 | 1255083000 |
Unveiling the hidden dimensions of data
In the ever-evolving landscape of corporate finance, EBITDA serves as a crucial metric for evaluating a company's operational performance. Over the past decade, Automatic Data Processing, Inc. (ADP) and Jacobs Engineering Group Inc. have demonstrated contrasting trajectories in their EBITDA growth.
From 2014 to 2024, ADP's EBITDA has surged by approximately 122%, reflecting its robust business model and strategic initiatives. In contrast, Jacobs Engineering has experienced a more modest growth of around 80% during the same period. Notably, ADP's EBITDA in 2023 reached a peak, nearly quadrupling its 2014 figure, while Jacobs Engineering saw a steady climb, peaking in 2023 before a slight dip in 2024.
This comparison highlights ADP's consistent upward trend, underscoring its resilience and adaptability in a competitive market. Meanwhile, Jacobs Engineering's steady growth trajectory suggests a stable yet less aggressive expansion strategy.
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