USA Rare Earth (USAR) Accumulated Expenses (2023 - 2026)
USA Rare Earth's Accumulated Expenses came in at $31.68 million for Q2 2026, up 517.0% from $5.13 million a year earlier.
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Analysis
USA Rare Earth (USAR) Accumulated Expenses (2023 - 2026) Analysis & Trends
At the end of FY2025, USA Rare Earth's Accumulated Expenses was $14.07 million, up 358.3% from FY2024.
- Going back by year, Accumulated Expenses was $3.07 million in FY2024 and $234,985 in FY2023.
- The Q2 2026 figure represents the highest quarterly Accumulated Expenses in data going back to Q4 2023.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Rio Tinto | 181.90 Bn | 148.03 Bn | - |
| 2 | Southern Copper | 169.19 Bn | 148.06 Bn | 2.90 Bn |
| 3 | Newmont | 121.55 Bn | 89.73 Bn | 4.03 Bn |
| 4 | Ternium | 108.92 Bn | 73.97 Bn | 941.02 Mn |
| 5 | Freeport-Mcmoran | 100.46 Bn | 96.62 Bn | 2.19 Bn |
| 6 | Agnico Eagle Mines | 91.62 Bn | 91.62 Bn | 2.43 Bn |
| 7 | Barrick Mining | 68.12 Bn | 52.86 Bn | 2.90 Bn |
| 8 | Nucor | 53.04 Bn | 43.58 Bn | 2.03 Bn |
| 9 | ArcelorMittal | 50.74 Bn | 31.77 Bn | - |
| 10 | USA Rare Earth | 3.44 Bn | 3.44 Bn | -1.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 31.68 Mn |
| Dec 31, 2025 | 14.07 Mn |
| Sep 30, 2025 | 13.42 Mn |
| Jun 30, 2025 | 5.13 Mn |
| Mar 31, 2025 | 3.83 Mn |
| Dec 31, 2024 | 3.07 Mn |
| Jun 30, 2024 | 570,564.00 |
| Mar 31, 2024 | 433,659.00 |
| Dec 31, 2023 | 234,985.00 |
API Access
USA Rare Earth Accumulated 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=accumulated-expenses&ticker=USAR&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-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=accumulated-expenses&ticker=USAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();