Hershey Co (HSY)
Days of sales outstanding (DSO)
| Dec 31, 2024 | Sep 30, 2024 | Jun 30, 2024 | Mar 31, 2024 | 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 | ||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Receivables turnover | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | |
| DSO | days | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — | — |
December 31, 2024 calculation
DSO = 365 ÷ Receivables turnover
= 365 ÷ —
= —
Given the provided data, it appears that the days of sales outstanding (DSO) for Hershey Co have not been specified for any reporting periods from March 31, 2020, to December 31, 2024. Consequently, without the specific DSO values for these periods, it is challenging to provide a detailed analysis of Hershey Co's collection efficiency or liquidity management based on this particular ratio.
DSO is a crucial metric in assessing how efficiently a company collects its accounts receivable, as it measures the average number of days it takes for a company to collect revenue after a sale is made. A lower DSO generally indicates better liquidity and effective credit management, while a higher DSO could signal potential issues with collections or an inefficient accounts receivable process.
To conduct a more thorough analysis of Hershey Co's financial performance utilizing the DSO metric, it would be necessary to obtain the actual DSO values for the respective reporting periods and compare them over time, benchmark them against industry peers, and assess any trends or deviations from historical averages. This information would provide valuable insights into Hershey Co's revenue collection efficiency and financial health.
Peer comparison
Dec 31, 2024
See also:
Hershey Co Average Receivable Collection Period (Quarterly Data)