Analyzing Cost of Revenue: Automatic Data Processing, Inc. and HEICO Corporation

Cost of Revenue: ADP vs. HEICO - A Decade of Change

__timestampAutomatic Data Processing, Inc.HEICO Corporation
Wednesday, January 1, 20147221400000733999000
Thursday, January 1, 20156427600000754469000
Friday, January 1, 20166840300000860766000
Sunday, January 1, 20177269800000950088000
Monday, January 1, 201878426000001087006000
Tuesday, January 1, 201980866000001241807000
Wednesday, January 1, 202084451000001104882000
Friday, January 1, 202186403000001138259000
Saturday, January 1, 202294619000001345563000
Sunday, January 1, 202399534000001814617000
Monday, January 1, 2024104767000002355943000
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Unleashing the power of data

Analyzing Cost of Revenue: A Tale of Two Companies

In the ever-evolving landscape of corporate finance, understanding the cost of revenue is crucial for evaluating a company's efficiency. This analysis focuses on Automatic Data Processing, Inc. (ADP) and HEICO Corporation, two giants in their respective industries. Over the past decade, ADP has consistently outperformed HEICO in terms of cost of revenue, with a notable increase of approximately 45% from 2014 to 2024. In contrast, HEICO's cost of revenue has surged by over 220% during the same period, reflecting its aggressive growth strategy.

ADP's cost of revenue peaked in 2024, reaching over $10 billion, while HEICO's reached nearly $2.4 billion. This disparity highlights ADP's larger scale of operations. However, HEICO's rapid growth trajectory suggests a dynamic shift in its business model. As we move forward, these trends offer valuable insights into the strategic priorities of these companies.

Published by
U.S. Securities and Exchange Commission

Source link
sec.gov

Date published
28 Jan 2025