USA Rare Earth (USAR) Total Non-Current Liabilities (2023 - 2026)
USA Rare Earth (USAR) posted Total Non-Current Liabilities of $97.67 million for Q2 2026, down 31.5% from $142.62 million a year earlier.
USA Rare Earth (USAR) Total Non-Current Liabilities (2023 - 2026) Analysis & Trends
At the end of FY2025, USA Rare Earth's Total Non-Current Liabilities came in at $181.18 million, up 416.9% from FY2024.
- In prior years, USA Rare Earth's Total Non-Current Liabilities was $35.05 million in FY2024 (-82.8%) and $203.89 million in FY2023.
- The Q2 2026 figure stands as the lowest quarterly Total Non-Current Liabilities since Q1 2025.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | -46.26 Bn |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 9.29 Bn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 15.71 Bn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | 3.99 Bn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 26.27 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | 7.26 Bn |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | 14.06 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 13.68 Bn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | 19.93 Bn |
| 10 | USA Rare Earth | 3.53 Bn | 3.52 Bn | -1.58 Mn | 97.67 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 97.67 Mn |
| Dec 31, 2025 | 181.18 Mn |
| Sep 30, 2025 | 204.12 Mn |
| Jun 30, 2025 | 142.62 Mn |
| Mar 31, 2025 | 95.26 Mn |
| Dec 31, 2024 | 35.05 Mn |
| Dec 31, 2023 | 203.89 Mn |
USA Rare Earth Total Non-Current 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-non-current-liabilities&ticker=USAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=USAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();