Cigna Corp (CI)

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 245,305,000 230,668,000 216,008,000 204,145,000 195,187,000 189,858,000 186,023,000 182,800,000 180,023,000 180,040,000 179,197,000 176,998,000 174,286,000 170,397,000 167,028,000 163,141,000 160,550,000 157,009,000 154,629,000 154,168,000
Receivables US$ in thousands
Receivables turnover

December 31, 2024 calculation

Receivables turnover = Revenue (ttm) ÷ Receivables
= $245,305,000K ÷ $—K
= —

Based on the provided data, the receivables turnover ratio for Cigna Corp is not available for the periods from March 2020 to December 2024. The absence of data for this financial metric indicates that there is insufficient information to calculate the receivables turnover ratio, which is a measure of a company's ability to collect outstanding receivables from customers. It is an important metric that helps assess how efficiently a company is managing its accounts receivable and converting them into cash.

Without the specific values for accounts receivable and sales, it is challenging to analyze Cigna Corp's receivables turnover ratio and draw insights regarding the company's collection efficiency and financial health. Analyzing this ratio over time could have provided valuable information on the effectiveness of Cigna Corp's credit policies, collection practices, and overall liquidity management.

In conclusion, the lack of data on the receivables turnover ratio for Cigna Corp limits the ability to assess the company's performance in managing its accounts receivable effectively. It is essential for investors and stakeholders to have access to this ratio to make informed decisions about the company's financial stability and operational efficiency.


See also:

Cigna Corp Receivables Turnover (Quarterly Data)