T-Mobile US Inc (TMUS)

Payables 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
Cost of revenue (ttm) US$ in thousands 23,439,000 23,729,000 23,715,000 23,748,000 24,065,000 24,303,000 24,665,000 26,088,000 25,939,000 25,171,000 24,982,000 23,345,000 23,044,000 16,499,000 16,473,000 17,896,000 16,555,000 20,174,000 18,278,000 15,232,000
Payables US$ in thousands 4,242,000 3,050,000 3,290,000 3,345,000 5,573,000 4,603,000 5,465,000 6,429,000 7,213,000 6,822,000 6,292,000 6,739,000 6,499,000 4,101,000 3,855,000 4,559,000 5,564,000 3,862,000 4,960,000
Payables turnover 5.53 7.78 7.21 7.10 4.32 5.28 4.51 4.06 3.60 3.69 3.97 3.46 3.55 4.02 4.27 3.93 2.98 5.22 3.69

December 31, 2024 calculation

Payables turnover = Cost of revenue (ttm) ÷ Payables
= $23,439,000K ÷ $4,242,000K
= 5.53

The payables turnover ratio for T-Mobile US Inc has shown fluctuations over the past few years, indicating changes in the company's efficiency in managing its accounts payable. The ratio has ranged from a low of 2.98 in December 31, 2020, to a high of 7.78 in September 30, 2024.

A higher payables turnover ratio generally indicates that the company is paying off its suppliers more frequently, which can be a positive sign of efficient working capital management. Conversely, a lower ratio may suggest that the company is taking longer to pay its suppliers, which could potentially strain supplier relationships.

Overall, T-Mobile US Inc's payables turnover ratio has shown some variability but has generally remained within a reasonable range over the analyzed period. It is important for investors and stakeholders to monitor this ratio in conjunction with other financial metrics to gain a comprehensive understanding of the company's financial health and operational efficiency.


See also:

T-Mobile US Inc Payables Turnover (Quarterly Data)