Rare Element Resources (REEMF) Operating Expenses (2010 - 2026)
Rare Element Resources (REEMF) posted Operating Expenses of $3.57 million for Q2 2026, up 148.5% from $1.44 million a year earlier and up 52.4% from the prior quarter.
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Analysis
Rare Element Resources (REEMF) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Rare Element Resources was $7.69 million, down 49.7% year-over-year; for FY2025, it came in at $5.9 million, down 72.3% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 13.2% (FY2020 to FY2025).
- In prior years, Rare Element Resources' Operating Expenses was $21.3 million in FY2024 (+90.7%), $11.17 million in FY2023 (+19.3%), $9.36 million in FY2022 (+77.9%) and $5.26 million in FY2021 (+65.8%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q4 2024.
- On a year-over-year basis, Operating Expenses increased in three of the last seven quarters, with growth averaging 22.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2026, with growth of 148.5%; the weakest was Q2 2025, with a decline of 77.9%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $2.34 million (Q1 2026), $2.65 million (Q4 2025) and -$866,000 (Q3 2025).
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 | 153.11 Bn | 131.97 Bn | 2.90 Bn | 1.67 Bn |
| 3 | Rio Tinto | 136.52 Bn | 97.02 Bn | - | - |
| 4 | Newmont | 118.43 Bn | 83.75 Bn | 4.22 Bn | 3.20 Bn |
| 5 | Freeport-Mcmoran | 92.71 Bn | 88.86 Bn | 2.19 Bn | 5.03 Bn |
| 6 | Agnico Eagle Mines | 88.05 Bn | 77.68 Bn | 2.43 Bn | 119.48 Mn |
| 7 | Barrick Mining | 64.72 Bn | 49.46 Bn | 2.90 Bn | 165.00 Mn |
| 8 | Nucor | 58.54 Bn | 49.08 Bn | 2.03 Bn | 405.00 Mn |
| 9 | ArcelorMittal | 45.80 Bn | 26.83 Bn | - | -780.00 Mn |
| 10 | Rare Element Resources | 522.75 Mn | 406.02 Mn | - | 3.57 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.57 Mn |
| Mar 31, 2026 | 2.34 Mn |
| Dec 31, 2025 | 2.65 Mn |
| Sep 30, 2025 | -866,000.00 |
| Jun 30, 2025 | 1.44 Mn |
| Mar 31, 2025 | 2.67 Mn |
| Dec 31, 2024 | 4.12 Mn |
| Sep 30, 2024 | 7.07 Mn |
| Jun 30, 2024 | 6.48 Mn |
| Mar 31, 2024 | 3.63 Mn |
| Dec 31, 2023 | 2.91 Mn |
| Sep 30, 2023 | 3.18 Mn |
| Jun 30, 2023 | 2.80 Mn |
| Mar 31, 2023 | 2.28 Mn |
| Dec 31, 2022 | 2.98 Mn |
| Sep 30, 2022 | 1.70 Mn |
| Jun 30, 2022 | 2.57 Mn |
| Mar 31, 2022 | 2.13 Mn |
| Dec 31, 2021 | 1.78 Mn |
| Sep 30, 2021 | 1.21 Mn |
API Access
Rare Element Resources 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=REEMF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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=operating-expenses&ticker=REEMF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();