MP Materials (MP) Return on Sales [ROS] (2020 - 2026)
MP Materials (MP) posted Return on Sales [ROS] of -29.52% for Q2 2026, up 46.94 percentage points from -76.46% a year earlier but down 2.91 percentage points from the prior quarter.
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Analysis
MP Materials (MP) Return on Sales [ROS] (2020 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Return on Sales [ROS] at MP Materials was -41.54%, up 25.43 percentage points year-over-year; for FY2025, it was -66.55%, up 16.56 percentage points from FY2024.
- Annual Return on Sales [ROS] shows a five-year change of -40.72 percentage points (FY2020 to FY2025).
- In prior years, MP Materials' Return on Sales [ROS] was -83.11% in FY2024 (-76.12 pp), -6.99% in FY2023 (-69.06 pp), 62.07% in FY2022 (+12.26 pp) and 49.81% in FY2021 (+75.65 pp).
- Quarterly Return on Sales [ROS] has run from a low of -171.13% in Q2 2024 to a high of 69.18% in Q1 2022 over five years.
- On a year-over-year basis, Return on Sales [ROS] has increased in each of the last three quarters, with an average year-over-year change of +20.56 percentage points over the last eight quarters.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was Q2 2025, with a gain of 94.67 percentage points; the weakest was Q2 2024, with a drop of 171.88 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior quarters was -26.61% (Q1 2026), -7.01% (Q4 2025) and -125.15% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn | 61.16% |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn | 16.48% |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn | 12.17% |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn | 28.50% |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn | 51.63% |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn | 15.67% |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - | 6.29% |
| 10 | MP Materials | 8.42 Bn | 6.97 Bn | 36.20 Mn | -29.52% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -29.52% |
| Mar 31, 2026 | -26.61% |
| Dec 31, 2025 | -7.01% |
| Sep 30, 2025 | -125.15% |
| Jun 30, 2025 | -76.46% |
| Mar 31, 2025 | -57.19% |
| Dec 31, 2024 | -72.09% |
| Sep 30, 2024 | -62.83% |
| Jun 30, 2024 | -171.13% |
| Mar 31, 2024 | -66.62% |
| Dec 31, 2023 | -81.61% |
| Sep 30, 2023 | -33.39% |
| Jun 30, 2023 | 0.75% |
| Mar 31, 2023 | 34.44% |
| Dec 31, 2022 | 40.18% |
| Sep 30, 2022 | 63.62% |
| Jun 30, 2022 | 66.70% |
| Mar 31, 2022 | 69.18% |
| Dec 31, 2021 | 57.59% |
| Sep 30, 2021 | 54.23% |
API Access
MP Materials Return on Sales [ROS] 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-sales-%5Bros%5D&ticker=MP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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-sales-%5Bros%5D&ticker=MP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();