Cost of Revenue Comparison: Automatic Data Processing, Inc. vs Thomson Reuters Corporation

ADP vs. Thomson Reuters: A Decade of Cost Evolution

__timestampAutomatic Data Processing, Inc.Thomson Reuters Corporation
Wednesday, January 1, 201472214000009209000000
Thursday, January 1, 201564276000008810000000
Friday, January 1, 201668403000008232000000
Sunday, January 1, 201772698000008079000000
Monday, January 1, 201878426000004131000000
Tuesday, January 1, 201980866000002431000000
Wednesday, January 1, 202084451000002269000000
Friday, January 1, 202186403000002478000000
Saturday, January 1, 202294619000002408000000
Sunday, January 1, 202399534000004095000000
Monday, January 1, 202410476700000
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Cracking the code

A Decade of Cost Dynamics: ADP vs. Thomson Reuters

In the ever-evolving landscape of corporate finance, understanding cost structures is pivotal. Over the past decade, Automatic Data Processing, Inc. (ADP) and Thomson Reuters Corporation have showcased contrasting trajectories in their cost of revenue. ADP's cost of revenue has seen a steady climb, increasing by approximately 45% from 2014 to 2023. This growth reflects ADP's strategic investments and expansion efforts. In contrast, Thomson Reuters experienced a significant decline, with costs dropping by nearly 75% from 2014 to 2022, before a slight rebound in 2023. This reduction aligns with the company's restructuring and divestiture strategies. Notably, 2024 data for Thomson Reuters remains unavailable, highlighting potential gaps in financial reporting. These trends underscore the diverse approaches these industry giants have taken in managing their operational expenses, offering valuable insights for investors and analysts alike.

Published by
U.S. Securities and Exchange Commission

Source link
sec.gov

Date published
28 Jan 2025