
Rolls-Royce Holdings plc (RLLCF) Return on Invested Capital (ROIC)
Market Cap: $80.32B
Avg Volume: 1.40M
Industry: Aerospace & Defense
Sector: Industrials
Return on Invested Capital (ROIC) Summary
Rolls-Royce Holdings plc's ROIC measures how effectively the company uses its invested capital to generate profits:
- Annual: 16.14%
- Quarterly: -
- TTM: 7.06%
What is ROIC?
Return on Invested Capital (ROIC) measures how effectively a company uses its capital from debt and equity to generate profits. ROIC is a useful metric for comparing the efficiency of capital allocation between different companies or across time periods within the same company. A higher ROIC indicates a more efficient use of capital.
Related Metrics
Other important metrics to assess Rolls-Royce Holdings plc's profitability include:
- ROE (Return on Equity) - measures the return generated on shareholders' equity:
- Annual: -276.43%
- Quarterly: -
- TTM: -75.86%
- ROA (Return on Assets) - measures the return generated on the company's assets:
- Annual: 7.06%
- Quarterly: -
- TTM: 4.88%
These metrics provide insights into Rolls-Royce Holdings plc's profitability and efficiency in using its capital and assets to generate returns. Comparing these ratios with industry benchmarks can offer a deeper understanding of the company's performance.
Annual ROIC
16.14%
Quarterly ROIC
-
TTM ROIC
7.06%
Rolls-Royce Holdings plc Historical ROIC
Historical ROE
Historical ROA
Rolls-Royce Holdings plc Historical Profitability Metrics
The table below shows various profitability metrics for each year, with the latest data available for the last fiscal year 2024.
Year | ROIC | ROE | ROA |
---|---|---|---|
2024 | 16.14% | -276.43% | 7.06% |
2023 | 11.10% | -65.53% | 7.65% |
2022 | 1.70% | 19.74% | -4.05% |
2021 | -1.27% | -2.57% | 0.42% |
2020 | -13.44% | 64.71% | -10.74% |
2019 | -6.97% | 38.83% | -4.06% |
2018 | -5.39% | 223.56% | -7.54% |
2017 | 5.77% | 68.22% | 14.02% |
2016 | 0.24% | -216.54% | -15.79% |
2015 | 5.40% | 1.66% | 0.37% |
Related Metrics
Explore detailed financial metrics and analysis for RLLCF.