Lululemon Athletica Inc. (LULU)

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 78.70 80.59 92.01 63.00 72.39 95.81 84.36
DSO days 4.64 4.53 3.97 5.79 5.04 3.81 4.33

January 31, 2025 calculation

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

The days of sales outstanding (DSO) for Lululemon Athletica Inc. have shown varying trends over the periods provided. DSO is a measure of how long it takes for a company to collect payment after a sale is made.

From the available data:

- On January 30, 2022, the DSO was 4.33 days, indicating that on average, it took approximately 4.33 days for Lululemon to collect payments from customers.
- Subsequently, on May 1, 2022, the DSO decreased to 3.81 days, suggesting an improvement in the efficiency of the company's accounts receivable collection.
- The DSO increased to 5.04 days on October 30, 2022, reflecting a longer collection period compared to the prior period.
- By January 29, 2023, the DSO rose further to 5.79 days, indicating a potential delay in collecting payments from customers.
- However, by July 30, 2023, the DSO decreased to 3.97 days, suggesting a more efficient collection process during that period.
- The trend continued with a DSO of 4.53 days on October 29, 2023, and 4.64 days on January 28, 2024, indicating relatively stable collections.
- As of the data provided for January 31, 2025, the DSO is not available.

Overall, fluctuations in the DSO can be influenced by various factors such as changes in sales volume, payment terms, and efficiency in accounts receivable management. Monitoring DSO trends can provide insights into a company's liquidity, credit policies, and effectiveness in collecting outstanding receivables.


See also:

Lululemon Athletica Inc. Average Receivable Collection Period (Quarterly Data)