Cisco Systems Inc (CSCO)
Days of sales outstanding (DSO)
Jul 27, 2024 | Apr 27, 2024 | Jan 27, 2024 | Oct 28, 2023 | Jul 29, 2023 | Apr 29, 2023 | Jan 28, 2023 | Oct 29, 2022 | Jul 30, 2022 | Apr 30, 2022 | Jan 29, 2022 | Oct 30, 2021 | Jul 31, 2021 | May 1, 2021 | Jan 23, 2021 | Oct 24, 2020 | Jul 25, 2020 | Apr 25, 2020 | Jan 25, 2020 | Oct 26, 2019 | ||
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Receivables turnover | 5.37 | 6.39 | 6.80 | 6.99 | 6.13 | 6.42 | 6.04 | 5.71 | 4.89 | 5.36 | 5.15 | 5.40 | 4.90 | — | 5.13 | 5.27 | 4.66 | 5.43 | 5.58 | 5.20 | |
DSO | days | 67.92 | 57.16 | 53.67 | 52.18 | 59.58 | 56.83 | 60.45 | 63.96 | 74.63 | 68.04 | 70.93 | 67.53 | 74.53 | — | 71.12 | 69.23 | 78.32 | 67.26 | 65.43 | 70.26 |
July 27, 2024 calculation
DSO = 365 ÷ Receivables turnover
= 365 ÷ 5.37
= 67.92
Days Sales Outstanding (DSO) is a key financial ratio that indicates the average number of days it takes for a company to collect payment after a sale has been made. A lower DSO value reflects a faster collection process and efficient management of accounts receivable.
Analyzing the DSO trend for Cisco Systems Inc over the provided periods shows fluctuations in the collection efficiency. The DSO values range from a low of 52.18 days to a high of 78.32 days, with the most recent DSO standing at 67.92 days as of July 27, 2024.
The trend indicates some variability in the company's ability to collect payments from customers promptly. A decreasing DSO trend over time would generally be favorable, as it would suggest improved collections management and liquidity. On the other hand, an increasing trend could indicate potential liquidity challenges or ineffective credit policies.
Overall, for Cisco Systems Inc, maintaining a stable or decreasing DSO trend would be indicative of efficient accounts receivable management and strong cash flow. Continued monitoring of this ratio will be crucial for assessing the company's financial health and operational performance.
Peer comparison
Jul 27, 2024
See also:
Cisco Systems Inc Average Receivable Collection Period (Quarterly Data)