USA Rare Earth (USAR) Operating Expenses (2024 - 2026)
USA Rare Earth (USAR) posted Operating Expenses of $44.73 million for Q2 2026, up 408.1% from $8.8 million a year earlier.
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Analysis
USA Rare Earth (USAR) Operating Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at USA Rare Earth was $95.71 million, up 276.8% year-over-year; for FY2025, it was $59.7 million, up 283.0% from FY2024.
- In prior years, USA Rare Earth's Operating Expenses was $15.59 million in FY2024 and $985,212 in FY2023.
- The Q2 2026 figure stands as the highest quarterly Operating Expenses in data going back to Q1 2024.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 182.38 Bn | 151.41 Bn | - | - |
| 2 | Southern Copper | 163.97 Bn | 142.76 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 141.19 Bn | 101.70 Bn | - | - |
| 4 | Newmont | 124.53 Bn | 92.53 Bn | 4.03 Bn | 3.02 Bn |
| 5 | Freeport-Mcmoran | 98.93 Bn | 82.97 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 93.96 Bn | 83.59 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 69.55 Bn | 44.75 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 60.45 Bn | 49.83 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 48.41 Bn | 27.44 Bn | - | -780.00 Mn |
| 10 | USA Rare Earth | 2.35 Bn | 80.81 Mn | -1.58 Mn | 44.73 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.73 Mn |
| Dec 31, 2025 | 26.32 Mn |
| Sep 30, 2025 | 15.86 Mn |
| Jun 30, 2025 | 8.80 Mn |
| Mar 31, 2025 | 8.72 Mn |
| Dec 31, 2024 | 5.92 Mn |
| Sep 30, 2024 | 1.96 Mn |
| Jun 30, 2024 | 3.01 Mn |
| Mar 31, 2024 | 4.70 Mn |
API Access
USA Rare Earth 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=USAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=USAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();