USA Rare Earth (USAR) Selling, General & Administrative (2024 - 2026)
USA Rare Earth (USAR) posted Selling, General & Administrative of $32.61 million for Q2 2026, up 423.6% from $6.23 million a year earlier.
USA Rare Earth (USAR) Selling, General & Administrative (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Selling, General & Administrative at USA Rare Earth was $68.71 million, up 270.1% year-over-year; for FY2025, it came in at $43.14 million, up 366.6% from FY2024.
- In prior years, USA Rare Earth's Selling, General & Administrative was $9.24 million in FY2024.
- The Q2 2026 figure stands as the highest quarterly Selling, General & Administrative in data going back to Q1 2024.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 193.68 Bn | 159.81 Bn | - | - |
| 2 | Southern Copper | 166.32 Bn | 145.19 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Newmont | 120.84 Bn | 89.01 Bn | 4.03 Bn | 74.00 Mn |
| 4 | Ternium | 110.94 Bn | 75.99 Bn | 941.02 Mn | -427.80 Mn |
| 5 | Freeport-Mcmoran | 99.52 Bn | 95.67 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 90.25 Bn | 90.25 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 67.10 Bn | 51.84 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 53.52 Bn | 44.06 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 49.13 Bn | 30.16 Bn | - | - |
| 10 | USA Rare Earth | 3.38 Bn | 3.38 Bn | -1.58 Mn | 32.61 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 32.61 Mn |
| Dec 31, 2025 | 18.47 Mn |
| Sep 30, 2025 | 11.41 Mn |
| Jun 30, 2025 | 6.23 Mn |
| Mar 31, 2025 | 7.03 Mn |
| Dec 31, 2024 | 4.51 Mn |
| Sep 30, 2024 | 797,000.00 |
| Jun 30, 2024 | 1.29 Mn |
| Mar 31, 2024 | 2.65 Mn |
USA Rare Earth Selling, General & Administrative 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=selling-general-and-administrative&ticker=USAR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=USAR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();