Guess? Inc. (GES)

Total asset turnover

Feb 3, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021 Jul 31, 2021 May 1, 2021 Jan 30, 2021 Oct 31, 2020 Aug 1, 2020 May 2, 2020 Feb 1, 2020 Nov 2, 2019 Aug 3, 2019 May 4, 2019
Revenue (ttm) US$ in thousands 2,740,394 2,650,836 2,635,539 2,616,264 2,644,409 2,661,222 2,674,342 2,663,471 2,591,631 2,440,151 2,366,365 2,136,280 1,876,529 2,070,328 2,116,988 2,401,669 2,678,109 2,672,982 2,662,445 2,625,096
Total assets US$ in thousands 2,590,020 2,478,780 2,489,160 2,440,720 2,425,450 2,316,620 2,316,670 2,250,010 2,555,630 2,562,440 2,456,900 2,378,010 2,465,870 2,380,010 2,310,730 2,346,750 2,428,960 2,390,900 2,402,200 2,381,760
Total asset turnover 1.06 1.07 1.06 1.07 1.09 1.15 1.15 1.18 1.01 0.95 0.96 0.90 0.76 0.87 0.92 1.02 1.10 1.12 1.11 1.10

February 3, 2024 calculation

Total asset turnover = Revenue (ttm) ÷ Total assets
= $2,740,394K ÷ $2,590,020K
= 1.06

The total asset turnover of Guess? Inc. has shown fluctuations over the past twenty quarters, ranging from a low of 0.76 to a high of 1.18. The metric measures the efficiency of the company in generating sales from its total assets, reflecting how well management is utilizing its assets to drive revenue.

In the most recent quarter, the total asset turnover was 1.06, indicating that Guess? Inc. generated $1.06 in revenue for every dollar of total assets. The stable range of around 1.06 to 1.15 in the recent quarters suggests consistent asset utilization efficiency.

However, there are some quarters where the total asset turnover dropped to below 1, indicating that the company may not have been effectively using its assets to generate sales during those periods. An improvement in this ratio is generally desirable as it indicates that the company is generating more revenue from its assets.

Overall, the trend of the total asset turnover for Guess? Inc. has been relatively stable, with some fluctuations, and further analysis would be needed to understand the specific factors driving these variations in asset utilization efficiency.