Eli Lilly and Company (LLY)

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 34,124,100 32,072,500 29,515,500 27,691,400 28,541,400 29,239,500 29,070,700 29,322,800 28,318,400 27,758,500 26,726,300 25,485,600 24,539,800 23,213,800 22,949,800 23,087,100 22,319,500 21,843,100 21,673,400 21,621,700
Receivables US$ in thousands 11,336,200 10,363,800 9,171,400 9,022,100 6,896,000 8,324,800 7,672,400 7,805,700 6,672,800 7,025,000 6,902,800 6,658,600 5,875,300 5,844,800 5,775,600 6,352,500 4,547,300 5,537,900 5,590,000 5,178,000
Receivables turnover 3.01 3.09 3.22 3.07 4.14 3.51 3.79 3.76 4.24 3.95 3.87 3.83 4.18 3.97 3.97 3.63 4.91 3.94 3.88 4.18

December 31, 2023 calculation

Receivables turnover = Revenue (ttm) ÷ Receivables
= $34,124,100K ÷ $11,336,200K
= 3.01

Lilly(Eli) & Co's receivables turnover has exhibited a declining trend over the past eight quarters, from 3.79 in Q2 2022 to 3.01 in Q4 2023. This may indicate that the company is taking longer to collect payments from its customers. A lower receivables turnover ratio can suggest potentially inefficient credit policies, problems with the collection process, or changing customer payment behaviors.

Although the receivables turnover ratio has fluctuated quarter to quarter, the overall trend suggests a lengthening of the collection period. This could lead to issues such as increased bad debts or cash flow constraints if outstanding receivables are not collected in a timely manner.

It is important for Lilly(Eli) & Co to closely monitor and address the factors contributing to the declining receivables turnover ratio to ensure the efficient management of its accounts receivable and maintain healthy liquidity position.


Peer comparison

Dec 31, 2023


See also:

Eli Lilly and Company Receivables Turnover (Quarterly Data)