Ur-Energy (URG) Operating Expenses (2013 - 2026)
Ur-Energy (URG) posted Operating Expenses of $20.33 million for Q2 2026, up 14.8% from $17.7 million a year earlier but down 5.8% from the prior quarter.
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Analysis
Ur-Energy (URG) Operating Expenses (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Ur-Energy was $80.42 million, up 40.7% year-over-year; for FY2025, it was $69.45 million, up 28.3% from FY2024.
- Annual Operating Expenses has increased for five consecutive years, with a five-year compound annual growth rate of 51.5% (FY2020 to FY2025).
- In prior years, Ur-Energy's Operating Expenses was $54.12 million in FY2024 (+85.6%), $29.16 million in FY2023 (+125.1%), $12.95 million in FY2022 (+32.5%) and $9.77 million in FY2021 (+12.5%).
- Quarterly Operating Expenses has run from a low of -$2.91 million in Q3 2022 to a high of $22.62 million in Q4 2022 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last five quarters, with growth averaging 33.1% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2022, with growth of 655.3%; the weakest was Q4 2023, with a decline of 61.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $21.58 million (Q1 2026), $19.44 million (Q4 2025) and $19.07 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cameco | 37.75 Bn | 33.53 Bn | 190.14 Mn | 9.50 Mn |
| 2 | NexGen Energy | 6.02 Bn | 3.55 Bn | - | 301,459.84 |
| 3 | Uranium Energy | 4.67 Bn | 3.09 Bn | 10.03 Mn | 45.84 Mn |
| 4 | Warrior Met Coal | 4.65 Bn | 3.35 Bn | 169.64 Mn | 415.17 Mn |
| 5 | Core Natural Resources | 4.28 Bn | 2.51 Bn | 252.03 Mn | 985.26 Mn |
| 6 | Alliance Resource Partners | 3.13 Bn | 2.82 Bn | 202.70 Mn | 455.98 Mn |
| 7 | Peabody Energy | 2.97 Bn | 826.26 Mn | - | 953.90 Mn |
| 8 | Energy Fuels | 2.76 Bn | -178.71 Mn | 14.42 Mn | 55.68 Mn |
| 9 | Centrus Energy | 2.68 Bn | -4.64 Bn | 49.90 Mn | 37.00 Mn |
| 10 | Ur-Energy | 433.67 Mn | 38.93 Mn | 1.89 Mn | 20.33 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.33 Mn |
| Mar 31, 2026 | 21.58 Mn |
| Dec 31, 2025 | 19.44 Mn |
| Sep 30, 2025 | 19.07 Mn |
| Jun 30, 2025 | 17.70 Mn |
| Mar 31, 2025 | 13.24 Mn |
| Dec 31, 2024 | 13.59 Mn |
| Sep 30, 2024 | 12.65 Mn |
| Jun 30, 2024 | 12.73 Mn |
| Mar 31, 2024 | 15.15 Mn |
| Dec 31, 2023 | 8.78 Mn |
| Sep 30, 2023 | 11.29 Mn |
| Jun 30, 2023 | 6.02 Mn |
| Mar 31, 2023 | 3.07 Mn |
| Dec 31, 2022 | 22.62 Mn |
| Sep 30, 2022 | -2.91 Mn |
| Jun 30, 2022 | 3.46 Mn |
| Mar 31, 2022 | 3.30 Mn |
| Dec 31, 2021 | 3.00 Mn |
| Sep 30, 2021 | 2.19 Mn |
API Access
Ur-Energy 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=URG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "URG", "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=URG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();