Northwest Natural Gas Co (NWN)

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 1,152,994 1,137,832 1,142,377 1,168,522 1,197,475 1,217,014 1,192,374 1,149,475 1,037,353 956,190 940,798 894,755 860,400 826,583 818,420 804,474 773,679 760,670 757,703 746,175
Property, plant and equipment US$ in thousands 384,224 3,210,760 3,155,980 3,114,400 3,114,320 2,978,680 2,904,760 2,871,370 2,806,360 2,832,220 2,696,380 2,654,770 2,607,250 2,625,170 2,579,740
Fixed asset turnover 3.17 0.37 0.36 0.33 0.31 0.32 0.31 0.30 0.29 0.29 0.30 0.29 0.29 0.29 0.29

December 31, 2024 calculation

Fixed asset turnover = Revenue (ttm) ÷ Property, plant and equipment
= $1,152,994K ÷ $—K
= —

Northwest Natural Gas Co's fixed asset turnover ratio has shown a consistent trend from March 31, 2020, to June 30, 2022, hovering around 0.29 to 0.32. This indicates that the company is generating approximately $0.29 to $0.32 in revenue for every dollar invested in fixed assets during this period.

There is a slight improvement in the fixed asset turnover ratio in the subsequent periods, reaching 0.36 by March 31, 2023, and further increasing to 3.17 by September 30, 2023. This sudden spike in the ratio indicates a significant increase in revenue generated per dollar invested in fixed assets, which may be attributed to operational efficiency or a change in the company's fixed asset utilization.

However, starting from December 31, 2023, the fixed asset turnover ratio data is missing ("\u2014"). It is important to note that this absence of data could indicate potential issues with data recording or reporting.

In general, while the company showed a positive trend in its fixed asset turnover ratio during the observed period, the sudden increase to 3.17 followed by missing data requires further investigation to understand the underlying factors influencing these fluctuations.