5E Advanced Materials (FEAM) Total Liabilities (2021 - 2026)
5E Advanced Materials (FEAM) recorded Total Liabilities of $3.89 million in fiscal Q4 2026 (quarter ended Jun 30, 2026), down 48.4% from $7.54 million a year earlier and down 23.4% from the prior quarter.
5E Advanced Materials (FEAM) Total Liabilities (2021 - 2026) Analysis & Trends
Starting with fiscal Q4 2021, 5E Advanced Materials' Total Liabilities history includes 19 quarters.
- Annual Total Liabilities has a five-year compound annual growth rate of 11.3% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $7.54 million in FY2025 (-90.4%), $78.8 million in FY2024 (+66.5%), $47.33 million in FY2023 (+475.5%) and $8.22 million in FY2022 (+260.7%).
- The fiscal Q4 2026 figure is the lowest quarterly Total Liabilities since fiscal Q4 2021.
- On a year-over-year basis, Total Liabilities has declined for six consecutive quarters, with an average decline of 39.4% over the last eight quarters.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 593.9% in fiscal Q3 2023, against a decline of 91.6% in fiscal Q2 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $5.08 million (Q3 2026), $6.99 million (Q2 2026) and $8.52 million (Q1 2026).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 168.96 Bn | 147.82 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Newmont | 123.37 Bn | 91.54 Bn | 4.03 Bn | 22.23 Bn |
| 4 | Ternium | 107.07 Bn | 72.12 Bn | 941.02 Mn | 7.81 Bn |
| 5 | Freeport-Mcmoran | 101.67 Bn | 97.82 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 92.92 Bn | 92.92 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 69.09 Bn | 53.83 Bn | 2.90 Bn | 15.50 Bn |
| 8 | Nucor | 53.61 Bn | 44.15 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 51.72 Bn | 32.74 Bn | - | 42.33 Bn |
| 10 | 5E Advanced Materials | 91.42 Mn | 91.42 Mn | - | 3.89 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.89 Mn |
| Mar 31, 2026 | 5.08 Mn |
| Dec 31, 2025 | 6.99 Mn |
| Sep 30, 2025 | 8.52 Mn |
| Jun 30, 2025 | 7.54 Mn |
| Mar 31, 2025 | 7.15 Mn |
| Dec 31, 2024 | 83.23 Mn |
| Sep 30, 2024 | 83.68 Mn |
| Jun 30, 2024 | 78.80 Mn |
| Mar 31, 2024 | 71.50 Mn |
| Dec 31, 2023 | 52.15 Mn |
| Sep 30, 2023 | 50.98 Mn |
| Jun 30, 2023 | 47.33 Mn |
| Mar 31, 2023 | 48.47 Mn |
| Dec 31, 2022 | 46.34 Mn |
| Sep 30, 2022 | 52.84 Mn |
| Jun 30, 2022 | 8.22 Mn |
| Mar 31, 2022 | 6.99 Mn |
| Jun 30, 2021 | 2.28 Mn |
5E Advanced Materials Total Liabilities 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=total-liabilities&ticker=FEAM&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=FEAM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();