Comparing Cost of Revenue Efficiency: Automatic Data Processing, Inc. vs Curtiss-Wright Corporation

ADP vs. CW: A Decade of Cost Efficiency

__timestampAutomatic Data Processing, Inc.Curtiss-Wright Corporation
Wednesday, January 1, 201472214000001466610000
Thursday, January 1, 201564276000001422428000
Friday, January 1, 201668403000001358448000
Sunday, January 1, 201772698000001452431000
Monday, January 1, 201878426000001540574000
Tuesday, January 1, 201980866000001589216000
Wednesday, January 1, 202084451000001550109000
Friday, January 1, 202186403000001572575000
Saturday, January 1, 202294619000001602416000
Sunday, January 1, 202399534000001778195000
Monday, January 1, 2024104767000001967640000
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Igniting the spark of knowledge

A Tale of Two Corporations: Cost of Revenue Efficiency

In the ever-evolving landscape of corporate finance, understanding cost efficiency is paramount. Automatic Data Processing, Inc. (ADP) and Curtiss-Wright Corporation (CW) offer a fascinating study in contrasts. Over the past decade, ADP has consistently demonstrated a robust cost of revenue, peaking at approximately $10.5 billion in 2024, marking a 45% increase since 2014. In contrast, Curtiss-Wright's cost of revenue has shown a steadier trajectory, with a 21% rise, reaching around $1.8 billion in 2023.

This comparison highlights ADP's aggressive growth strategy, while CW maintains a more conservative approach. The data from 2014 to 2023 reveals ADP's dynamic expansion, with a notable surge post-2020, whereas CW's growth, though steady, reflects a more cautious fiscal strategy. Missing data for 2024 in CW's records suggests a need for further analysis to complete the picture.

Published by
U.S. Securities and Exchange Commission

Source link
sec.gov

Date published
28 Jan 2025