Schlumberger NV (SLB)

Fixed asset turnover

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 Dec 31, 2019 Sep 30, 2019 Jun 30, 2019 Mar 31, 2019
Revenue (ttm) US$ in thousands 32,635,000 23,914,000 23,088,000 21,765,000 20,076,000 26,025,000 24,387,000 23,236,000 22,390,000 21,794,000 21,197,000 20,911,000 23,143,000 25,732,000 28,993,000 31,894,000 32,307,000 32,479,000 32,455,000 32,501,000
Property, plant and equipment US$ in thousands 7,240,000 6,875,000 6,804,000 6,691,000 6,607,000 6,691,000 6,386,000 6,354,000 6,607,000 6,375,000 6,473,000 6,620,000 6,826,000 7,396,000 7,729,000 8,550,000 9,270,000 9,605,000 11,359,000 11,533,000
Fixed asset turnover 4.51 3.48 3.39 3.25 3.04 3.89 3.82 3.66 3.39 3.42 3.27 3.16 3.39 3.48 3.75 3.73 3.49 3.38 2.86 2.82

December 31, 2023 calculation

Fixed asset turnover = Revenue (ttm) ÷ Property, plant and equipment
= $32,635,000K ÷ $7,240,000K
= 4.51

The fixed asset turnover ratio measures the efficiency of a company in generating sales from its investment in fixed assets. Schlumberger Ltd.'s fixed asset turnover has been relatively stable, ranging from 3.72 to 4.66 over the past eight quarters.

The consistent values of the fixed asset turnover ratio suggest that Schlumberger Ltd. has been effectively utilizing its fixed assets to generate sales. A higher fixed asset turnover ratio indicates that the company is generating more revenue per dollar invested in fixed assets, which is generally favorable.

A sustained high fixed asset turnover ratio may indicate effective management of property, plant, and equipment to drive sales. However, it is essential to note that this ratio should be interpreted in conjunction with other financial metrics to obtain a comprehensive understanding of the company's overall financial performance.


Peer comparison

Dec 31, 2023


See also:

Schlumberger NV Net Fixed Asset Turnover (Quarterly Data)