BJs Restaurants Inc (BJRI)

Fixed asset turnover

Dec 31, 2024 Sep 30, 2024 Jun 30, 2024 Mar 31, 2024 Dec 31, 2023 Sep 30, 2023 Jun 30, 2023 Mar 31, 2023 Dec 31, 2022 Sep 30, 2022 Jun 30, 2022 Mar 31, 2022 Dec 31, 2021 Sep 30, 2021 Jun 30, 2021 Mar 31, 2021 Dec 31, 2020 Sep 30, 2020 Jun 30, 2020 Mar 31, 2020
Revenue (ttm) US$ in thousands 1,357,302 1,336,598 1,329,540 1,329,283 1,333,229 1,353,746 1,346,450 1,326,477 1,283,926 1,231,042 1,201,874 1,162,460 1,087,038 992,774 909,481 747,222 778,510 872,573 952,425 1,125,491
Property, plant and equipment US$ in thousands 522,610 510,857 875,900 873,248 873,248 869,753 871,355 872,483 876,561 893,100 910,398 547,592 560,951
Fixed asset turnover 2.58 2.60 1.47 1.41 1.38 1.34 1.14 1.04 0.85 0.87 0.96 1.74 2.01

December 31, 2024 calculation

Fixed asset turnover = Revenue (ttm) ÷ Property, plant and equipment
= $1,357,302K ÷ $—K
= —

The fixed asset turnover ratio of BJs Restaurants Inc has varied over the years.

From March 31, 2020 to September 30, 2021, the fixed asset turnover fluctuated between 0.85 and 1.74, indicating that the company was generating revenue efficiently from its fixed assets during this period.

However, there was a noticeable decline in the fixed asset turnover from December 31, 2021 to June 30, 2022, where it dropped to 0.87 before gradually increasing to 1.47 by December 31, 2022.

A significant improvement was observed in the fixed asset turnover ratio from March 31, 2023 to June 30, 2023, as it surged to 2.60, signifying that the company was generating a higher level of revenue relative to its investment in fixed assets.

It is worth noting that there are missing data points in the latter part of 2023 and throughout 2024, which may indicate a lack of financial reporting or other factors that could affect the interpretation of the trend.

Overall, the fixed asset turnover ratio of BJs Restaurants Inc has exhibited variability, with both highs and lows, suggesting fluctuations in the efficiency of generating sales from its fixed assets. Further analysis would be required to understand the underlying reasons for these fluctuations and their impact on the company's operational performance.