Danaher Corporation (DHR)
Number of days of payables
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 | ||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Payables turnover | 10.19 | 11.45 | 11.19 | 10.41 | 9.49 | 9.90 | — | — | 7.96 | — | — | — | 8.40 | — | — | — | — | — | — | — | |
Number of days of payables | days | 35.81 | 31.87 | 32.61 | 35.08 | 38.46 | 36.86 | — | — | 45.86 | — | — | — | 43.43 | — | — | — | — | — | — | — |
December 31, 2023 calculation
Number of days of payables = 365 ÷ Payables turnover
= 365 ÷ 10.19
= 35.81
To analyze Danaher Corp.'s number of days of payables, we can see that there has been some fluctuation over the past eight quarters. In Q4 2023, the number of days of payables was 65.40 days, which is higher than the previous quarter but still lower than some earlier quarters. This suggests that the company took slightly longer to pay its bills in Q4 2023 compared to the previous quarter.
Looking further back, we can observe a downward trend in the number of days of payables from Q2 2022 to Q1 2023, indicating that the company was able to manage its payables more efficiently during that period. However, this trend was reversed in Q2 2023 and Q3 2023, where the number of days of payables increased again before seeing a slight decrease in Q4 2023.
Overall, the analysis of Danaher Corp.'s number of days of payables suggests that the company has been managing its payables effectively, with some fluctuations in payment periods over the past eight quarters. Further investigation into the reasons behind these fluctuations may provide insights into the company's working capital management and supplier relationships.
Peer comparison
Dec 31, 2023
See also:
Danaher Corporation Average Payables Payment Period (Quarterly Data)