GameStop Corp (GME)

Payables turnover

Feb 3, 2024 Oct 28, 2023 Jul 29, 2023 Apr 29, 2023 Jan 28, 2023 Oct 29, 2022 Jul 30, 2022 Apr 30, 2022 Jan 29, 2022 Oct 30, 2021 Jul 31, 2021 May 1, 2021 Jan 30, 2021 Oct 31, 2020 Aug 1, 2020 May 2, 2020 Feb 1, 2020 Nov 2, 2019 Aug 3, 2019 May 4, 2019
Cost of revenue (ttm) US$ in thousands 3,978,600 4,330,800 4,429,100 4,425,000 4,555,100 4,704,200 4,787,400 4,796,100 4,662,900 4,460,700 4,211,100 4,038,400 3,830,300 3,753,600 4,022,600 4,219,400 4,557,300 5,274,700 5,654,500 5,799,000
Payables US$ in thousands 324,000 812,700 378,000 561,400 531,300 888,400 217,400 386,800 471,000 711,500 409,700 388,600 341,800 440,200 256,400 212,100 380,800 709,900 368,300 458,400
Payables turnover 12.28 5.33 11.72 7.88 8.57 5.30 22.02 12.40 9.90 6.27 10.28 10.39 11.21 8.53 15.69 19.89 11.97 7.43 15.35 12.65

February 3, 2024 calculation

Payables turnover = Cost of revenue (ttm) ÷ Payables
= $3,978,600K ÷ $324,000K
= 12.28

The payables turnover ratio for GameStop Corp has shown fluctuation over the past few years, indicating changes in the company's payment terms with its suppliers. The ratio was highest at 22.02 in July 2022, suggesting that GameStop was able to pay off its accounts payable obligations more than 22 times during that period.

On the other hand, the lowest ratio of 5.30 in October 2022 implies a slower rate of paying its suppliers during that particular period. Generally, a higher payables turnover ratio indicates that GameStop is managing its accounts payable effectively by paying off its suppliers more quickly, while a lower ratio may signify potential liquidity or operational challenges.

It is important for GameStop to strike a balance in managing its payables turnover ratio to maintain good relationships with suppliers while also optimizing its working capital and cash flow. Monitoring this ratio over time can provide valuable insights into the company's financial health and efficiency in managing its payables.


See also:

GameStop Corp Payables Turnover (Quarterly Data)