USA Rare Earth (USAR) Total Liabilities (2023 - 2026)
USA Rare Earth (USAR) posted Total Liabilities of $461.86 million for Q2 2026, up 48.2% from $311.64 million a year earlier.
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Analysis
USA Rare Earth (USAR) Total Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, USA Rare Earth's Total Liabilities came in at $200.71 million, up 472.7% from FY2024.
- In prior years, USA Rare Earth's Total Liabilities was $35.05 million in FY2024 (-83.8%) and $216.99 million in FY2023.
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2023.
- On a year-over-year basis, Total Liabilities increased in four of the last six quarters, with growth averaging 82.8%.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | 61.80 Bn |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn | 11.42 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | 61.08 Bn |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | 22.23 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | 27.51 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | 9.19 Bn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 25.04 Bn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | 13.69 Bn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | 44.33 Bn |
| 10 | USA Rare Earth | 2.35 Bn | 80.81 Mn | -1.58 Mn | 461.86 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 461.86 Mn |
| Dec 31, 2025 | 200.71 Mn |
| Sep 30, 2025 | 381.91 Mn |
| Jun 30, 2025 | 311.64 Mn |
| Mar 31, 2025 | 129.73 Mn |
| Dec 31, 2024 | 35.05 Mn |
| Sep 30, 2024 | 229.71 Mn |
| Jun 30, 2024 | 230.13 Mn |
| Mar 31, 2024 | 223.81 Mn |
| Dec 31, 2023 | 216.99 Mn |
API Access
USA Rare Earth 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=USAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "ticker": "USAR", "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=USAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();