Permian Resources Corporation (PR)

Inventory 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
Cost of revenue (ttm)	US$ in thousands	295,603	237,829	295,798	254,606	240,779	156,610	96,915	118,783	126,575	184,656	178,682	178,095	764,606	732,954	722,249	707,683	158,005	119,544	148,436	170,680
Inventory	US$ in thousands	—	2,662	87,737	108,293	100,797	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
Inventory turnover		—	89.34	3.37	2.35	2.39	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—

December 31, 2023 calculation

Inventory turnover = Cost of revenue (ttm) ÷ Inventory
= $295,603K ÷ $—K
= —

Based on the provided data, the inventory turnover ratio for Permian Resources Corp is not available for any of the quarters in 2022 and 2023. This lack of information could be due to the unavailability or incomplete disclosure of the necessary financial data related to inventory levels and cost of goods sold. Without the inventory turnover ratio, it is difficult to assess how efficiently the company is managing its inventory levels and converting them into sales.

Inventory turnover is a key metric used to evaluate the efficiency of a company's inventory management. A higher inventory turnover ratio indicates that the company is selling its inventory quickly and efficiently, while a lower ratio may suggest overstocking or slow-moving inventory. It is essential for investors and stakeholders to monitor this ratio to assess the company's operational effectiveness and liquidity.

In the case of Permian Resources Corp, the absence of inventory turnover data highlights a limitation in the available financial information for analyzing the company's inventory management performance in the specified quarters. It may be advisable for the company to provide more transparent and detailed disclosures regarding its inventory turnover ratio to enable a more comprehensive analysis of its operational efficiency and financial performance.