Science Applications International Corporation Common Stock (SAIC)

Return on assets (ROA)

Jan 31, 2025 Nov 1, 2024 Aug 2, 2024 May 3, 2024 Feb 2, 2024 Nov 3, 2023 Aug 4, 2023 May 5, 2023 Feb 3, 2023 Oct 28, 2022 Jul 29, 2022 Apr 29, 2022 Jan 28, 2022 Oct 29, 2021 Jul 30, 2021 Apr 30, 2021 Jan 29, 2021 Oct 30, 2020 Jul 31, 2020 May 1, 2020
Net income (ttm) US$ in thousands 362,000 303,000 290,000 456,000 477,000 512,000 499,000 325,000 300,000 269,000 260,000 269,000 277,000 296,000 285,000 254,000 209,000 207,000 202,000 208,000
Total assets US$ in thousands 5,246,000 5,275,000 5,250,000 5,250,000 5,314,000 5,658,000 5,672,000 5,957,000 5,543,000 5,628,000 5,654,000 5,716,000 5,746,000 5,916,000 5,905,000 5,812,000 5,723,000 5,875,000 5,947,000 6,016,000
ROA 6.90% 5.74% 5.52% 8.69% 8.98% 9.05% 8.80% 5.46% 5.41% 4.78% 4.60% 4.71% 4.82% 5.00% 4.83% 4.37% 3.65% 3.52% 3.40% 3.46%

January 31, 2025 calculation

ROA = Net income (ttm) ÷ Total assets
= $362,000K ÷ $5,246,000K
= 6.90%

Science Applications International Corporation (SAIC) has shown a steady increase in its Return on Assets (ROA) over the past few years, indicating improved efficiency in generating profits from its assets. The ROA has grown from 3.46% in May 2020 to 6.90% in January 2025, with fluctuations along the way. The peak ROA was observed in November 2023 at 9.05%, signaling a period of strong asset utilization and profitability.

The upward trend in ROA suggests that SAIC has been effectively utilizing its assets to generate earnings, which is a positive sign for investors and stakeholders. However, the slight decline in ROA from the peak levels in 2023 to the more recent percentage in January 2025 may warrant further analysis to understand the factors contributing to this change.

Overall, the increasing trend in ROA reflects positively on SAIC’s operational efficiency and ability to generate profits relative to its asset base. It indicates that the company has been successful in managing its resources effectively to drive financial performance over the analyzed period.