Teradata Corp (TDC)

Receivables turnover

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
Revenue (ttm) US$ in thousands 1,986,000 1,979,000 1,948,000 1,914,000 1,952,000 1,970,000 2,013,000 2,075,000 2,058,000 2,064,000 2,049,000 1,992,000 1,915,000 1,890,000 1,889,000 1,886,000 1,899,000 1,993,000 1,530,000 1,597,000
Receivables US$ in thousands 290,000 286,000 265,000 341,000 380,000 253,000 266,000 330,000 337,000 290,000 299,000 367,000 334,000 321,000 339,000 448,000 406,000 328,000 377,000 445,000
Receivables turnover 6.85 6.92 7.35 5.61 5.14 7.79 7.57 6.29 6.11 7.12 6.85 5.43 5.73 5.89 5.57 4.21 4.68 6.08 4.06 3.59

December 31, 2023 calculation

Receivables turnover = Revenue (ttm) ÷ Receivables
= $1,986,000K ÷ $290,000K
= 6.85

The receivables turnover ratio is calculated by dividing net credit sales by the average accounts receivable balance. A higher receivables turnover ratio indicates that the company is collecting its outstanding receivables more quickly.

Teradata Corp's receivables turnover ratio fluctuated over the past eight quarters, ranging from a low of 4.76 in Q4 2022 to a high of 7.19 in Q3 2022. In the most recent quarter, Q4 2023, the receivables turnover ratio was 6.41. This suggests that, on average, Teradata Corp collected its outstanding receivables approximately 6.41 times during the quarter.

The trend in Teradata Corp's receivables turnover ratio indicates fluctuations in the speed at which the company is collecting its accounts receivable. Overall, the company's receivables turnover has shown some variability over the past eight quarters, but it has generally remained around the 6 to 7 times range, indicating a reasonably efficient collection process. A more in-depth analysis would involve comparing the company's receivables turnover ratio with industry benchmarks or historical data to assess its performance relative to peers or its own past performance.


Peer comparison

Dec 31, 2023