Accenture plc (ACN)

Days of sales outstanding (DSO)

		Feb 29, 2024	Nov 30, 2023	Aug 31, 2023	May 31, 2023	Feb 28, 2023	Nov 30, 2022	Aug 31, 2022	May 31, 2022	Feb 28, 2022	Nov 30, 2021	Aug 31, 2021	May 31, 2021	Feb 28, 2021	Nov 30, 2020	Aug 31, 2020	May 31, 2020	Feb 29, 2020	Nov 30, 2019	Aug 31, 2019	May 31, 2019
Receivables turnover		5.68	5.63	6.00	5.77	5.74	5.56	5.87	5.51	5.48	5.36	5.74	5.55	5.72	5.73	6.16	5.80	5.74	5.56	5.79	5.65
DSO	days	64.29	64.80	60.86	63.21	63.57	65.60	62.13	66.25	66.58	68.15	63.54	65.75	63.82	63.65	59.22	62.90	63.64	65.65	63.07	64.55

February 29, 2024 calculation

DSO = 365 ÷ Receivables turnover
= 365 ÷ 5.68
= 64.29

Days of Sales Outstanding (DSO) is a key metric used to measure the average number of days it takes a company to collect revenue after a sale is made. A lower DSO indicates that the company is able to collect payments more quickly, which is generally seen as a positive indicator.

Analyzing the DSO trend for Accenture plc over the past few quarters, we observe some fluctuations in the metric. In the most recent quarter ending February 29, 2024, the DSO was 64.29 days, which was slightly lower than the previous quarter’s value of 64.80 days. This indicates that Accenture improved its collection efficiency during this period.

Looking back over the last several quarters, we can see that DSO has generally stayed within a relatively narrow range, fluctuating between approximately 60 to 68 days. This suggests that Accenture has been managing its receivables effectively, neither letting them build up excessively nor collecting payments too aggressively.

It is important to note that a company's industry and business model can influence what is considered a normal or acceptable range for DSO. Comparing Accenture's DSO to industry benchmarks or historical values for the company can provide further insights into its performance in terms of managing accounts receivable.

Overall, based on the trend of DSO for Accenture plc, it appears that the company has been maintaining a stable and efficient collection process, with minor fluctuations in the metric over the analyzed periods.