Broadridge Financial Solutions Inc (BR)

Inventory turnover

Jun 30, 2025 Mar 31, 2025 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
Cost of revenue (ttm) US$ in thousands 4,752,300 4,709,700 4,661,100 4,572,500 4,572,800 4,478,900 4,429,300 4,360,300 4,275,400 4,263,100 4,203,000 4,193,200 4,116,900 3,986,800 3,869,700 3,697,800 3,570,800 3,438,300 3,350,300 3,324,700
Inventory US$ in thousands — — — — 30,500 — 0 — 34,100 0 0 0 29,300 0 0 0 23,200 0 0 0
Inventory turnover — — — — 149.93 — — — 125.38 — — — 140.51 — — — 153.91 — — —

June 30, 2025 calculation

Inventory turnover = Cost of revenue (ttm) ÷ Inventory
= $4,752,300K ÷ $—K
= —

The inventory turnover data for Broadridge Financial Solutions Inc. indicates limited activity during most of the reported periods, with notable fluctuations observed at specific intervals. No data is available for the fiscal periods ending September 30, 2020, December 31, 2020, March 31, 2021, September 30, 2021, December 31, 2021, March 31, 2022, September 30, 2022, December 31, 2022, March 31, 2023, September 30, 2023, December 31, 2023, March 31, 2024, September 30, 2024, December 31, 2024, March 31, 2025, or June 30, 2025.

The only periods with reported inventory turnover figures are June 30, 2021, June 30, 2022, and June 30, 2024. During June 30, 2021, the inventory turnover was 153.91, which signifies an exceptionally high rate of inventory being sold and replaced within the period. This rapid turnover suggests high efficiency in inventory management or a potentially optimized supply chain during that quarter.

Subsequently, on June 30, 2022, the inventory turnover decreased to 140.51, indicating a slight slowdown but still reflecting a high level of inventory movement. The value for June 30, 2024, shows an increase to 149.93, implying a regained or sustained efficient inventory management compared to the previous year.

The sparse data points with high turnover figures suggest periods of significant activity or operational efficiency, likely tied to the company's core business cycles or strategic adjustments. However, the absence of continuous data limits comprehensive trend analysis. Overall, the high inventory turnover figures during these periods highlight effective inventory utilization and possible rapid sales cycles during those quarters.