5E Advanced Materials (FEAM) Cost of Revenue (2021 - 2026)
5E Advanced Materials (FEAM) posted Cost of Revenue of $771,000 for fiscal Q4 2026 (quarter ended Jun 30, 2026), up 7.7% from $716,000 a year earlier but down 46.6% from the prior quarter.
5E Advanced Materials (FEAM) Cost of Revenue (2021 - 2026) Analysis & Trends
For FY2026 (ended Jun 30, 2026), 5E Advanced Materials' Cost of Revenue came in at $5.17 million, up 3.4% from FY2025.
- Annual Cost of Revenue shows a five-year compound annual growth rate of -2.8% (FY2021 to FY2026).
- In prior fiscal years, 5E Advanced Materials' Cost of Revenue was $5 million in FY2025 (-21.1%), $6.33 million in FY2024 (-36.6%), $9.99 million in FY2023 (-22.6%) and $12.9 million in FY2022 (+116.3%).
- Quarterly Cost of Revenue has run from a low of $716,000 in fiscal Q4 2025 to a high of $4.79 million in fiscal Q1 2022 over five years.
- On a year-over-year basis, Cost of Revenue has increased in each of the last three quarters, with an average decline of 4.2% over the last eight quarters.
- The strongest year-over-year quarter for Cost of Revenue in the past five years was fiscal Q3 2026, with growth of 37.4%; the weakest was fiscal Q4 2025, with a decline of 66.9%.
- According to Business Quant data, Cost of Revenue for the three prior fiscal quarters was $1.44 million (Q3 2026), $1.8 million (Q2 2026) and $1.16 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 164.02 Bn | 133.06 Bn | - | - |
| 2 | Southern Copper | 154.30 Bn | 133.16 Bn | 2.90 Bn | 1.39 Bn |
| 3 | Rio Tinto | 135.37 Bn | 95.87 Bn | - | - |
| 4 | Newmont | 113.13 Bn | 78.45 Bn | 4.22 Bn | 2.14 Bn |
| 5 | Freeport-Mcmoran | 93.66 Bn | 89.81 Bn | 2.19 Bn | 4.84 Bn |
| 6 | Agnico Eagle Mines | 86.95 Bn | 76.58 Bn | 2.43 Bn | 953.76 Mn |
| 7 | Barrick Mining | 63.88 Bn | 48.62 Bn | 2.90 Bn | 2.40 Bn |
| 8 | Nucor | 58.56 Bn | 49.10 Bn | 2.03 Bn | 8.36 Bn |
| 9 | ArcelorMittal | 45.28 Bn | 26.31 Bn | - | - |
| 10 | 5E Advanced Materials | 68.64 Mn | 17.76 Mn | - | 771,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 771,000.00 |
| Mar 31, 2026 | 1.44 Mn |
| Dec 31, 2025 | 1.80 Mn |
| Sep 30, 2025 | 1.16 Mn |
| Jun 30, 2025 | 716,000.00 |
| Mar 31, 2025 | 1.05 Mn |
| Dec 31, 2024 | 1.68 Mn |
| Sep 30, 2024 | 1.55 Mn |
| Jun 30, 2024 | 2.16 Mn |
| Mar 31, 2024 | 1.16 Mn |
| Dec 31, 2023 | 1.43 Mn |
| Sep 30, 2023 | 1.58 Mn |
| Jun 30, 2023 | 1.72 Mn |
| Mar 31, 2023 | 1.27 Mn |
| Dec 31, 2022 | 3.40 Mn |
| Sep 30, 2022 | 3.60 Mn |
| Jun 30, 2022 | 3.09 Mn |
| Mar 31, 2022 | 2.04 Mn |
| Dec 31, 2021 | 2.99 Mn |
| Sep 30, 2021 | 4.79 Mn |
5E Advanced Materials Cost of Revenue 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=cost-of-revenue&ticker=FEAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-revenue", "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=cost-of-revenue&ticker=FEAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();