Home Depot Inc (HD)

Days of sales outstanding (DSO)

Jan 31, 2025 Oct 31, 2024 Jul 31, 2024 Apr 30, 2024 Jan 31, 2024 Jan 28, 2024 Oct 31, 2023 Oct 29, 2023 Jul 31, 2023 Jul 30, 2023 Apr 30, 2023 Jan 31, 2023 Jan 29, 2023 Oct 31, 2022 Oct 30, 2022 Jul 31, 2022 May 1, 2022 Apr 30, 2022 Jan 31, 2022 Jan 30, 2022
Receivables turnover 46.01 40.89 39.58 47.44 43.00 45.18
DSO days 7.93 8.93 9.22 7.69 8.49 8.08

January 31, 2025 calculation

DSO = 365 ÷ Receivables turnover
= 365 ÷ —
= —

The days of sales outstanding (DSO) for Home Depot Inc have shown fluctuations over the periods indicated. In January 2022, the DSO stood at 8.08 days, representing the average number of days it takes for the company to collect revenue after a sale. Subsequently, data points are missing for January, April, and July 2022.

By October 2022, the DSO increased slightly to 8.49 days, signifying a potential delay in the collection of sales revenue. Moving into January 2023, the DSO decreased to 7.69 days, indicating an improvement in the company's collection efficiency.

The data for the following periods remains missing until July 2023, where the DSO spikes to 9.22 days, suggesting a longer collection period. By October 2023, the DSO decreases to 8.93 days, which is slightly lower compared to the previous quarter.

In January 2024, the DSO further reduces to 7.93 days, indicating a positive trend in collecting sales revenue more promptly. However, data points are missing for the subsequent periods up to January 2025, making it challenging to assess any further developments in the company's collection efficiency.

Overall, fluctuations in Home Depot Inc's DSO reflect changes in its revenue collection practices and efficiency. A decreasing trend in DSO typically signifies improved liquidity and effective accounts receivable management, while an increasing trend may raise concerns about the company's cash flow and working capital management.


Peer comparison

Jan 31, 2025


See also:

Home Depot Inc Average Receivable Collection Period (Quarterly Data)