Rare Element Resources (REEMF) Selling, General & Administrative (2010 - 2026)
Rare Element Resources' Selling, General & Administrative was $539,000 in Q2 2026, down 5.1% from $568,000 a year earlier and down 7.1% from the prior quarter.
Rare Element Resources (REEMF) Selling, General & Administrative (2010 - 2026) Analysis & Trends
On a trailing twelve-month basis, Rare Element Resources' Selling, General & Administrative was $2.61 million through Jun 30, 2026, down 1.8% year-over-year; for FY2025, it was $2.81 million, up 5.5% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 9.1% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $2.67 million in FY2024 (-5.7%), $2.83 million in FY2023 (-44.6%), $5.11 million in FY2022 (+64.0%) and $3.11 million in FY2021 (+70.8%).
- The Q2 2026 figure marks the lowest quarterly Selling, General & Administrative since Q1 2021.
- Compared with a year earlier, Selling, General & Administrative was higher in three of the last eight quarters, with an average decline of 3.5%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q1 2022 (growth of 182.7%); the worst was Q2 2023 (a decline of 63.4%).
- Per Business Quant data, REEMF's Selling, General & Administrative in the three quarters before Q2 2026 was $580,000 (Q1 2026), $917,000 (Q4 2025) and $578,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Rio Tinto | 164.02 Bn | 126.82 Bn | - | - |
| 2 | Southern Copper | 153.49 Bn | 132.28 Bn | 2.90 Bn | 35.30 Mn |
| 3 | Rio Tinto | 135.48 Bn | 95.98 Bn | - | - |
| 4 | Newmont | 113.96 Bn | 79.11 Bn | 4.22 Bn | 82.00 Mn |
| 5 | Freeport-Mcmoran | 93.70 Bn | 77.74 Bn | 2.19 Bn | 135.00 Mn |
| 6 | Agnico Eagle Mines | 87.17 Bn | 76.80 Bn | 2.43 Bn | 57.95 Mn |
| 7 | Barrick Mining | 65.05 Bn | 40.24 Bn | 2.90 Bn | 31.00 Mn |
| 8 | Nucor | 58.96 Bn | 48.35 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 45.39 Bn | 24.42 Bn | - | - |
| 10 | Rare Element Resources | 517.86 Mn | 401.13 Mn | - | 539,000.00 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 539,000.00 |
| Mar 31, 2026 | 580,000.00 |
| Dec 31, 2025 | 917,000.00 |
| Sep 30, 2025 | 578,000.00 |
| Jun 30, 2025 | 568,000.00 |
| Mar 31, 2025 | 750,000.00 |
| Dec 31, 2024 | 775,000.00 |
| Sep 30, 2024 | 569,000.00 |
| Jun 30, 2024 | 623,000.00 |
| Mar 31, 2024 | 699,000.00 |
| Dec 31, 2023 | 827,000.00 |
| Sep 30, 2023 | 646,000.00 |
| Jun 30, 2023 | 613,000.00 |
| Mar 31, 2023 | 742,000.00 |
| Dec 31, 2022 | 1.07 Mn |
| Sep 30, 2022 | 902,000.00 |
| Jun 30, 2022 | 1.68 Mn |
| Mar 31, 2022 | 1.47 Mn |
| Dec 31, 2021 | 937,000.00 |
| Sep 30, 2021 | 829,000.00 |
Rare Element Resources 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=REEMF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "ticker": "REEMF", "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=REEMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();