Starting with the raw data, I ran a quick data profile using PowerQuery: Table.Profile(#"Table1"). A review of the profile shows there are 9 different brands, 3 different categories, and 3 different suppliers. There is no anomalies in the number of months in a year and there is data for years 2018 - 2024.

Then I created a pivot table to show the 3 equipment categories: airbike, treadmill, rowing machine. Then listed the suppliers one level below and the brands for the last level. The data is showing the sum of the profit. The pivot table is filtered to only show values for 2023 and sorted from largest to smallest profit by supplier.

We can easily see that the profit for air bikes is 100k+ above profits for treadmills and rowing machines. Park Performance Gear supplier accounts for over 50% of the equipment and all their brands are generating more profit than the other brands. Is this worth looking into in depth? Maybe, but it's currently out of the project scope.