MP Materials (MP) Return on Capital Employed [ROCE] (2020 - 2026)
MP Materials (MP) posted Return on Capital Employed [ROCE] of -3.52% for Q2 2026, up 4.25 percentage points from -7.78% a year earlier and up 0.36 percentage points from the prior quarter.
MP Materials (MP) Return on Capital Employed [ROCE] (2020 - 2026) Analysis & Trends
For FY2025, MP Materials' Return on Capital Employed [ROCE] came in at -5.34%, up 2.47 percentage points from FY2024.
- Annual Return on Capital Employed [ROCE] shows a five-year change of +1.03 percentage points (FY2020 to FY2025).
- In prior years, MP Materials' Return on Capital Employed [ROCE] was -7.80% in FY2024 (-6.99 pp), -0.81% in FY2023 (-17.46 pp), 16.65% in FY2022 (+5.03 pp) and 11.62% in FY2021 (+17.99 pp).
- The Q2 2026 figure stands as the highest quarterly Return on Capital Employed [ROCE] since Q4 2023.
- On a year-over-year basis, Return on Capital Employed [ROCE] has increased in each of the last four quarters, with an average year-over-year change of -1.26 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Capital Employed [ROCE] in the past five years was Q1 2022, with a gain of 14.86 percentage points; the weakest was Q4 2023, with a drop of 16.27 percentage points.
- According to Business Quant data, Return on Capital Employed [ROCE] for the three prior quarters was -3.89% (Q1 2026), -4.23% (Q4 2025) and -6.78% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 42.99% |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 9.92% |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | 7.19% |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 13.20% |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | 42.05% |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 23.46% |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 13.42% |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | 3.51% |
| 10 | MP Materials | 8.42 Bn | 6.97 Bn | 36.20 Mn | -3.52% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -3.52% |
| Mar 31, 2026 | -3.89% |
| Dec 31, 2025 | -4.23% |
| Sep 30, 2025 | -6.78% |
| Jun 30, 2025 | -7.78% |
| Mar 31, 2025 | -8.17% |
| Dec 31, 2024 | -7.87% |
| Sep 30, 2024 | -7.28% |
| Jun 30, 2024 | -6.23% |
| Mar 31, 2024 | -3.71% |
| Dec 31, 2023 | -0.80% |
| Sep 30, 2023 | 2.42% |
| Jun 30, 2023 | 6.79% |
| Mar 31, 2023 | 11.33% |
| Dec 31, 2022 | 15.47% |
| Sep 30, 2022 | 16.76% |
| Jun 30, 2022 | 16.28% |
| Mar 31, 2022 | 13.71% |
| Dec 31, 2021 | 9.13% |
| Sep 30, 2021 | 6.58% |
MP Materials Return on Capital Employed [ROCE] API
Pull this series into your own models, spreadsheets and apps with the Business Quant
Historical Metrics API. The request below matches the chart above — change the
frequency, period or values and it follows. Swap YOUR_API_KEY for your own key.
https://data.businessquant.com/historic?slug=return-on-capital-employed-%5Broce%5D&ticker=MP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "MP", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=return-on-capital-employed-%5Broce%5D&ticker=MP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();