Dupont De Nemours Inc (DD)

Days of sales outstanding (DSO)

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
Receivables turnover 5.10 5.14 5.43 5.29 5.23 6.33 6.71 6.91 7.78 6.10 6.58 7.34 8.43 5.62 5.72 5.51 5.66 5.49 5.23 1.20
DSO days 71.60 71.03 67.17 68.95 69.78 57.65 54.38 52.79 46.93 59.82 55.50 49.74 43.32 64.99 63.81 66.24 64.51 66.44 69.84 305.31

December 31, 2023 calculation

DSO = 365 ÷ Receivables turnover
= 365 ÷ 5.10
= 71.60

DuPont de Nemours Inc's Days of Sales Outstanding (DSO) has exhibited a fluctuating trend over the past eight quarters. In Q4 2023, the DSO was 71.68 days, slightly higher than Q3 2023 at 71.34 days. While there was a decrease in Q2 2023 to 67.42 days, a slight increase was recorded in Q1 2023 to 69.73 days.

Comparing the latest quarters to the same periods in the previous year, there has been a general increase in DSO. In Q4 2023, DSO was higher compared to Q4 2022, which was at 70.61 days. This trend continues through the earlier quarters of 2023, indicating that the company may be taking longer to collect on its sales.

In contrast, the DSO was lower in the earlier quarters of 2022, with Q1 2022 standing at 53.25 days, which has gradually increased over time. The increase in DSO may suggest potential issues with accounts receivable management or possibly extending more credit to customers.

Overall, a careful review of the company's DSO trend and comparison to industry averages can provide insights into the efficiency of DuPont de Nemours Inc's accounts receivable management and the effectiveness of its credit policies. Analyzing the reasons behind these changes can help determine if there are areas that need improvement in terms of cash flow management.


Peer comparison

Dec 31, 2023


See also:

Dupont De Nemours Inc Average Receivable Collection Period (Quarterly Data)