5E Advanced Materials (FEAM) Return on Capital Employed [ROCE] (2022 - 2026)
5E Advanced Materials' Return on Capital Employed [ROCE] came in at -61.68% for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 4.93 percentage points from -66.61% a year earlier and up 5.88 percentage points from the prior quarter.
5E Advanced Materials (FEAM) Return on Capital Employed [ROCE] (2022 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), 5E Advanced Materials' Return on Capital Employed [ROCE] was -65.11%, down 5.77 percentage points from FY2025.
- Return on Capital Employed [ROCE] carries a four-year change of +47.25 percentage points (FY2022 to FY2026).
- Going back by fiscal year, Return on Capital Employed [ROCE] was -59.33% in FY2025 (-17.39 pp), -41.94% in FY2024 (+5.71 pp), -47.65% in FY2023 (+64.70 pp) and -112.36% in FY2022.
- The fiscal Q4 2026 figure represents the highest quarterly Return on Capital Employed [ROCE] since fiscal Q2 2025.
- Year-over-year, Return on Capital Employed [ROCE] increased in two of the last eight quarters, with an average year-over-year change of -13.62 percentage points.
- The fastest year-over-year change in Return on Capital Employed [ROCE] over five years came in fiscal Q4 2023 (a gain of 65.85 percentage points), and the weakest in fiscal Q3 2025 (a drop of 37.60 percentage points).
- Business Quant data shows FEAM's Return on Capital Employed [ROCE] at -67.56% (Q3 2026), -71.70% (Q2 2026) and -66.69% (Q1 2026) in the three fiscal quarters before Q4 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROCE (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 166.32 Bn | 145.19 Bn | 2.90 Bn | 42.99% |
| 3 | Newmont | 120.84 Bn | 89.01 Bn | 4.03 Bn | 9.92% |
| 4 | Ternium | 110.94 Bn | 75.99 Bn | 941.02 Mn | 7.19% |
| 5 | Freeport-Mcmoran | 99.52 Bn | 95.67 Bn | 2.19 Bn | 13.20% |
| 6 | Agnico Eagle Mines | 90.25 Bn | 90.25 Bn | 2.43 Bn | 42.05% |
| 7 | Barrick Mining | 67.10 Bn | 51.84 Bn | 2.90 Bn | 23.46% |
| 8 | Nucor | 53.52 Bn | 44.06 Bn | 2.03 Bn | 13.42% |
| 9 | ArcelorMittal | 49.13 Bn | 30.16 Bn | - | 3.51% |
| 10 | 5E Advanced Materials | 96.82 Mn | 96.82 Mn | - | -61.68% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -61.68% |
| Mar 31, 2026 | -67.56% |
| Dec 31, 2025 | -71.70% |
| Sep 30, 2025 | -66.69% |
| Jun 30, 2025 | -66.61% |
| Mar 31, 2025 | -72.38% |
| Dec 31, 2024 | -60.95% |
| Sep 30, 2024 | -51.24% |
| Jun 30, 2024 | -42.93% |
| Mar 31, 2024 | -34.78% |
| Dec 31, 2023 | -40.69% |
| Sep 30, 2023 | -40.25% |
| Jun 30, 2023 | -37.69% |
| Mar 31, 2023 | -40.11% |
| Dec 31, 2022 | -61.68% |
| Sep 30, 2022 | -75.82% |
| Jun 30, 2022 | -103.54% |
5E Advanced 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=FEAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-capital-employed-[roce]", "ticker": "FEAM", "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=FEAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();