5E Advanced Materials (FEAM) Operating Expenses (2021 - 2026)
5E Advanced Materials (FEAM) posted Operating Expenses of $9.39 million for fiscal Q4 2026 (quarter ended Jun 30, 2026), down 2.0% from $9.58 million a year earlier and down 23.7% from the prior quarter.
5E Advanced Materials (FEAM) Operating Expenses (2021 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), 5E Advanced Materials' Operating Expenses came in at $43.32 million, down 0.9% from FY2025.
- Annual Operating Expenses shows a five-year compound annual growth rate of 19.7% (FY2021 to FY2026).
- In prior fiscal years, 5E Advanced Materials' Operating Expenses was $43.72 million in FY2025 (+21.9%), $35.86 million in FY2024 (-2.3%), $36.71 million in FY2023 (-45.9%) and $67.83 million in FY2022 (+284.7%).
- The fiscal Q4 2026 figure stands as the lowest quarterly Operating Expenses since fiscal Q3 2024.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with growth averaging 24.8%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was fiscal Q3 2022, with growth of 750.4%; the weakest was fiscal Q3 2023, with a decline of 74.9%.
- According to Business Quant data, Operating Expenses for the three prior fiscal quarters was $12.29 million (Q3 2026), $10.91 million (Q2 2026) and $10.74 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 168.96 Bn | 147.82 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Newmont | 123.37 Bn | 91.54 Bn | 4.03 Bn | 3.02 Bn |
| 4 | Ternium | 107.07 Bn | 72.12 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 101.67 Bn | 97.82 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 92.92 Bn | 92.92 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 69.09 Bn | 53.83 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 53.61 Bn | 44.15 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 51.72 Bn | 32.74 Bn | - | -780.00 Mn |
| 10 | 5E Advanced Materials | 91.42 Mn | 91.42 Mn | - | 9.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.39 Mn |
| Mar 31, 2026 | 12.29 Mn |
| Dec 31, 2025 | 10.91 Mn |
| Sep 30, 2025 | 10.74 Mn |
| Jun 30, 2025 | 9.58 Mn |
| Mar 31, 2025 | 10.20 Mn |
| Dec 31, 2024 | 11.03 Mn |
| Sep 30, 2024 | 12.91 Mn |
| Jun 30, 2024 | 15.06 Mn |
| Mar 31, 2024 | 4.21 Mn |
| Dec 31, 2023 | 8.89 Mn |
| Sep 30, 2023 | 7.71 Mn |
| Jun 30, 2023 | 8.69 Mn |
| Mar 31, 2023 | 8.28 Mn |
| Dec 31, 2022 | 11.19 Mn |
| Sep 30, 2022 | 8.56 Mn |
| Jun 30, 2022 | 13.35 Mn |
| Mar 31, 2022 | 33.00 Mn |
| Dec 31, 2021 | 10.84 Mn |
| Sep 30, 2021 | 10.65 Mn |
5E Advanced Materials Operating Expenses 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=operating-expenses&ticker=FEAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=FEAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();