| __timestamp | Thomson Reuters Corporation | Verisk Analytics, Inc. |
|---|---|---|
| Wednesday, January 1, 2014 | 9209000000 | 716598000 |
| Thursday, January 1, 2015 | 8810000000 | 803274000 |
| Friday, January 1, 2016 | 8232000000 | 714400000 |
| Sunday, January 1, 2017 | 8079000000 | 783800000 |
| Monday, January 1, 2018 | 4131000000 | 886200000 |
| Tuesday, January 1, 2019 | 2431000000 | 976800000 |
| Wednesday, January 1, 2020 | 2269000000 | 993900000 |
| Friday, January 1, 2021 | 2478000000 | 1057800000 |
| Saturday, January 1, 2022 | 2408000000 | 824600000 |
| Sunday, January 1, 2023 | 4095000000 | 876500000 |
Cracking the code
In the ever-evolving landscape of financial analytics, the cost of revenue is a critical metric that reflects a company's efficiency in managing its production expenses. Over the past decade, Thomson Reuters Corporation and Verisk Analytics, Inc. have showcased contrasting trajectories in this regard.
From 2014 to 2023, Thomson Reuters experienced a significant reduction in its cost of revenue, plummeting by over 55%, from a peak in 2014 to a low in 2020. This decline highlights the company's strategic shift towards more cost-effective operations. In contrast, Verisk Analytics maintained a relatively stable cost of revenue, with a modest increase of about 20% over the same period. This stability underscores Verisk's consistent approach to managing its operational costs.
These trends offer a fascinating glimpse into how two industry leaders navigate the complexities of financial management, each with its unique strategy and focus.
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