Paramount Global Class B (PARA)

Total asset 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 29,213,000 28,867,000 29,269,000 30,072,000 29,652,000 30,145,000 29,928,000 30,091,000 30,154,000 30,023,000 29,717,000 28,502,000 28,586,000 26,811,000 26,317,000 26,028,000 25,285,000 35,601,000 32,780,000 30,314,000
Total assets US$ in thousands 46,172,000 46,250,000 45,890,000 52,027,000 53,543,000 54,640,000 55,361,000 56,561,000 58,393,000 57,287,000 56,961,000 58,043,000 58,620,000 55,912,000 55,204,000 54,773,000 52,663,000 51,425,000 51,188,000 49,045,000
Total asset turnover 0.63 0.62 0.64 0.58 0.55 0.55 0.54 0.53 0.52 0.52 0.52 0.49 0.49 0.48 0.48 0.48 0.48 0.69 0.64 0.62

December 31, 2024 calculation

Total asset turnover = Revenue (ttm) ÷ Total assets
= $29,213,000K ÷ $46,172,000K
= 0.63

The total asset turnover ratio for Paramount Global Class B has shown some variability over the periods indicated in the data. The ratio indicates how efficiently the company is utilizing its assets to generate revenue. A higher ratio generally suggests better asset utilization.

From March 2020 to September 2022, the total asset turnover ratio ranged between 0.48 and 0.69, showing some fluctuation. However, from September 2022 to December 2024, the ratio stabilized between 0.52 and 0.64, with a slight upward trend in the latter periods.

Overall, the total asset turnover ratio for Paramount Global Class B has improved from the initial 0.62 in March 2020 to 0.63 in December 2024. This increase indicates a more efficient use of assets to generate revenue over the time period covered in the data, reflecting positively on the company's asset management and operational performance.


Peer comparison

Dec 31, 2024


See also:

Paramount Global Class B Total Asset Turnover (Quarterly Data)