USA Rare Earth (USAR) Capital Expenditures (2024 - 2025)
USA Rare Earth's Capital Expenditures was $24 million in Q4 2025, compared with $851,000 a year earlier and up 237.9% from the prior quarter.
Analysis
USA Rare Earth (USAR) Capital Expenditures (2024 - 2025) Analysis & Trends
For FY2025, Capital Expenditures at USA Rare Earth came in at $37.4 million.
- In earlier years, Capital Expenditures was $3.11 million in FY2024.
- The Q4 2025 figure marks the highest quarterly Capital Expenditures in data going back to Q1 2024.
- Per Business Quant data, USAR's Capital Expenditures in the three quarters before Q4 2025 was $7.1 million (Q3 2025), $4.29 million (Q2 2025) and $2.01 million (Q1 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 179.45 Bn | 145.58 Bn | - | - |
| 2 | Southern Copper | 169.08 Bn | 147.94 Bn | 2.90 Bn | 422.80 Mn |
| 3 | Newmont | 122.31 Bn | 90.49 Bn | 4.03 Bn | 719.00 Mn |
| 4 | Ternium | 109.20 Bn | 74.25 Bn | 941.02 Mn | -431.28 Mn |
| 5 | Freeport-Mcmoran | 103.31 Bn | 99.46 Bn | 2.19 Bn | 1.10 Bn |
| 6 | Agnico Eagle Mines | 92.04 Bn | 92.04 Bn | 2.43 Bn | - |
| 7 | Barrick Mining | 68.84 Bn | 53.58 Bn | 2.90 Bn | -1.19 Bn |
| 8 | Nucor | 55.48 Bn | 46.02 Bn | 2.03 Bn | 571.00 Mn |
| 9 | ArcelorMittal | 53.16 Bn | 34.19 Bn | - | -1.10 Bn |
| 10 | USA Rare Earth | 3.53 Bn | 3.52 Bn | -1.58 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2025 | 24.00 Mn |
| Sep 30, 2025 | 7.10 Mn |
| Jun 30, 2025 | 4.29 Mn |
| Mar 31, 2025 | 2.01 Mn |
| Dec 31, 2024 | 851,000.00 |
| Sep 30, 2024 | 1.20 Mn |
| Jun 30, 2024 | 75,000.00 |
| Mar 31, 2024 | 980,000.00 |
API Access
USA Rare Earth Capital Expenditures 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=capital-expenditures&ticker=USAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=USAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();