Texas Pacific Land Trust (TPL)
Inventory 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 | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Cost of revenue (ttm) | US$ in thousands | 134,976 | 90,055 | 83,920 | 76,564 | 68,468 | 87,710 | 83,853 | 76,849 | 72,215 | 66,818 | 61,656 | 64,111 | 65,027 | 58,632 |
| Inventory | US$ in thousands | — | — | — | 0 | 5,380 | 130,024 | 130,024 | 109,704 | 109,704 | 109,083 | 109,083 | 109,083 | 109,071 | 108,546 |
| Inventory turnover | — | — | — | — | 12.73 | 0.67 | 0.64 | 0.70 | 0.66 | 0.61 | 0.57 | 0.59 | 0.60 | 0.54 |
December 31, 2024 calculation
Inventory turnover = Cost of revenue (ttm) ÷ Inventory
= $134,976K ÷ $—K
= —
The inventory turnover ratio for Texas Pacific Land Trust has shown fluctuations over the period from September 30, 2021, to December 31, 2024.
From September 30, 2021, to June 30, 2023, the inventory turnover ratio remained relatively stable, ranging from 0.54 to 0.70. This indicates that during this period, the Trust was turning over its inventory at a consistent pace, with the ratio hovering around the 0.6 mark.
However, there was a significant spike in the inventory turnover ratio reported on December 31, 2023, jumping to 12.73. This sudden increase may be attributed to various factors such as a decrease in inventory levels or a significant increase in sales during that period.
From March 31, 2024, onwards, there is no data available for the inventory turnover ratio, as indicated by "—". This could be due to a change in reporting practices or data availability.
It is essential for stakeholders to monitor the inventory turnover ratio to assess the efficiency of inventory management and the Trust's ability to convert inventory into sales. Fluctuations in this ratio can provide insights into the Trust's operational performance and supply chain management. Further analysis would be required to understand the reasons behind the significant spike observed on December 31, 2023, and the subsequent missing data points.
See also:
Texas Pacific Land Trust Inventory Turnover (Quarterly Data)