Williams-Sonoma Inc (WSM)
Return on assets (ROA)
| Jan 31, 2025 | Oct 31, 2024 | Jul 31, 2024 | Apr 30, 2024 | Jan 31, 2024 | Jan 28, 2024 | Oct 31, 2023 | Oct 29, 2023 | Jul 31, 2023 | Jul 30, 2023 | Apr 30, 2023 | Jan 31, 2023 | Jan 29, 2023 | Oct 31, 2022 | Oct 30, 2022 | Jul 31, 2022 | May 1, 2022 | Apr 30, 2022 | Jan 31, 2022 | Jan 30, 2022 | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Net income (ttm) | US$ in thousands | 1,151,082 | 1,094,803 | 1,200,289 | 1,211,829 | 1,183,448 | 1,030,516 | 877,584 | 796,830 | 914,538 | 1,068,024 | 1,118,240 | 1,213,432 | 1,125,514 | 1,024,634 | 1,027,024 | 1,178,242 | 1,314,108 | 1,309,519 | 1,301,476 | 1,144,605 |
| Total assets | US$ in thousands | 5,301,610 | 4,968,340 | 5,211,670 | 5,159,980 | 5,273,550 | 5,273,550 | 4,883,770 | 4,883,770 | 4,571,810 | 4,571,810 | 4,471,040 | 4,663,020 | 4,663,020 | 4,594,010 | 4,594,010 | 4,319,170 | 4,210,710 | 4,210,710 | 4,625,620 | 4,625,620 |
| ROA | 21.71% | 22.04% | 23.03% | 23.49% | 22.44% | 19.54% | 17.97% | 16.32% | 20.00% | 23.36% | 25.01% | 26.02% | 24.14% | 22.30% | 22.36% | 27.28% | 31.21% | 31.10% | 28.14% | 24.74% |
January 31, 2025 calculation
ROA = Net income (ttm) ÷ Total assets
= $1,151,082K ÷ $5,301,610K
= 21.71%
Williams-Sonoma Inc's return on assets (ROA) has shown some fluctuation over the period from January 30, 2022, to January 31, 2025. The ROA started at 24.74% in January 2022 and saw an increase to 31.21% by May 1, 2022. However, there was a slight decline in the following periods, reaching a low of 16.32% on October 29, 2023. From that point, the ROA started to recover, with some fluctuations, and stood at 21.71% as of January 31, 2025.
Overall, the ROA trend indicates that Williams-Sonoma Inc has been effectively utilizing its assets to generate profits during the period under review. However, the fluctuation in ROA values suggests some variability in the company's asset efficiency and profitability over time, which may warrant further investigation to understand the underlying factors driving these fluctuations.