Alphabet Inc Class C (GOOG)

Cash conversion cycle

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
Days of inventory on hand (DOH) days 8.23 6.31 6.64 7.72 9.30 6.01 4.29 3.85 4.48 3.39 3.61 3.14 3.83 3.91 4.33 5.07 7.43 5.37 6.19
Days of sales outstanding (DSO) days 57.32 50.81 49.22 46.45 52.20 46.76 48.70 48.15 57.13 53.32 54.64 53.11 63.04 54.41 47.62 52.10 62.15 49.59 52.43 49.50
Number of days of payables days 20.51 16.16 15.03 12.00 14.83 18.58 13.38 10.77 19.86 16.20 17.62 19.50 24.08 20.12 19.49 19.98 28.23 21.98 21.87 21.81
Cash conversion cycle days 36.80 42.89 40.50 41.09 45.09 37.49 41.33 41.67 41.12 41.60 40.42 37.21 42.10 38.12 32.04 36.45 38.99 35.05 35.93 33.88

December 31, 2023 calculation

Cash conversion cycle = DOH + DSO – Number of days of payables
= — + 57.32 – 20.51
= 36.80

The cash conversion cycle (CCC) measures the time it takes for a company to convert its investments in inventory and accounts receivable into cash flows from sales. A lower CCC typically indicates a more efficient management of working capital.

Alphabet Inc's CCC fluctuated over the past eight quarters. In Q4 2023, the company's CCC decreased to 36.43 days from 42.47 days in Q3 2023, suggesting an improvement in the efficiency of its working capital management. However, this improvement may be compared to the CCC of 44.85 days in Q4 2022, indicating a positive trend over the year.

Overall, Alphabet Inc's CCC has exhibited some variability, yet the recent reduction in Q4 2023 suggests a potential enhancement in its ability to generate cash from its operating activities compared to the previous quarter. It is important to monitor this trend over time to assess the company's working capital management effectiveness.


Peer comparison

Dec 31, 2023


See also:

Alphabet Inc Class C Cash Conversion Cycle (Quarterly Data)