CMS Energy Corporation (CMS)

Receivables turnover

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
Revenue (ttm) US$ in thousands 7,515,000 7,476,000 7,406,000 7,354,000 7,462,000 7,790,000 8,141,000 8,506,000 8,596,000 8,351,000 8,052,000 7,690,000 7,329,000 7,023,000 6,805,000 6,629,000 6,418,000 6,486,000 6,525,000 6,588,000
Receivables US$ in thousands 561,000 369,000 423,000 449,000 473,000 295,000 312,000 1,469,000 2,243,000 1,544,000 1,391,000 1,543,000 1,429,000 1,070,000 1,122,000 1,509,000 1,594,000 941,000 1,021,000 1,150,000
Receivables turnover 13.40 20.26 17.51 16.38 15.78 26.41 26.09 5.79 3.83 5.41 5.79 4.98 5.13 6.56 6.07 4.39 4.03 6.89 6.39 5.73

December 31, 2024 calculation

Receivables turnover = Revenue (ttm) ÷ Receivables
= $7,515,000K ÷ $561,000K
= 13.40

The receivables turnover ratio for CMS Energy Corporation has varied over time, indicating changes in the company's efficiency in collecting payments from customers.

From March 2020 to December 2021, the ratio generally increased, reaching a peak of 6.89 in September 2020, which suggests that the company was collecting its receivables more frequently during this period.

However, from March 2022 to December 2024, the receivables turnover ratio fluctuated, with a notable increase in June and September 2023, where the ratio spiked to 26.09 and 26.41, respectively. This sudden increase may indicate a significant change in the company's collections practices or customer payment behavior during those quarters.

Subsequently, the ratio declined to more moderate levels by December 2024, indicating a potential normalization of the company's receivables turnover.

Overall, the trend in the receivables turnover ratio reflects CMS Energy Corporation's ability to efficiently manage its accounts receivable and collect payments from customers, with periods of improvement and volatility observed over the analyzed timeframe.