NexGen Energy (NXE) Operating Expenses (2016 - 2026)
NexGen Energy's Operating Expenses came in at $301,460 for Q2 2026, down 21.2% from $382,508 a year earlier and down 3.4% from the prior quarter.
NexGen Energy (NXE) Operating Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, NexGen Energy reported Operating Expenses of $1.42 million, down 11.8% year-over-year; for FY2025, it was $1.57 million, down 4.3% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of -11.7% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $1.64 million in FY2024 (+23.0%), $1.34 million in FY2023 (-4.2%), $1.4 million in FY2022 (-17.8%) and $1.7 million in FY2021 (-42.0%).
- The Q2 2026 figure represents the lowest quarterly Operating Expenses since Q1 2023.
- Year-over-year, Operating Expenses has declined for six consecutive quarters, with an average decline of 2.7% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q2 2024 (growth of 30.0%), and the weakest in Q1 2022 (a decline of 71.1%).
- Business Quant data shows NXE's Operating Expenses at $312,100 (Q1 2026), $404,437 (Q4 2025) and $405,462 (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cameco | 37.90 Bn | 33.68 Bn | 190.14 Mn | 9.50 Mn |
| 2 | NexGen Energy | 5.95 Bn | 3.47 Bn | - | 301,459.84 |
| 3 | Warrior Met Coal | 4.85 Bn | 3.54 Bn | 169.64 Mn | 415.17 Mn |
| 4 | Uranium Energy | 4.53 Bn | 3.37 Bn | - | 40.79 Mn |
| 5 | Core Natural Resources | 4.41 Bn | 2.64 Bn | 252.03 Mn | 985.26 Mn |
| 6 | Alliance Resource Partners | 3.19 Bn | 2.89 Bn | 202.70 Mn | 455.98 Mn |
| 7 | Peabody Energy | 3.07 Bn | 918.90 Mn | - | 953.90 Mn |
| 8 | Energy Fuels | 2.76 Bn | -181.21 Mn | 14.42 Mn | 55.68 Mn |
| 9 | Centrus Energy | 2.70 Bn | -4.63 Bn | 49.90 Mn | 37.00 Mn |
| 10 | Alpha Metallurgical Resources | 2.23 Bn | 651.52 Mn | 49.19 Mn | 503.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 301,459.84 |
| Mar 31, 2026 | 312,100.04 |
| Dec 31, 2025 | 404,436.66 |
| Sep 30, 2025 | 405,462.33 |
| Jun 30, 2025 | 382,507.62 |
| Mar 31, 2025 | 382,607.15 |
| Dec 31, 2024 | 423,782.69 |
| Sep 30, 2024 | 425,170.98 |
| Jun 30, 2024 | 412,363.27 |
| Mar 31, 2024 | 382,930.42 |
| Dec 31, 2023 | 364,329.62 |
| Sep 30, 2023 | 360,284.42 |
| Jun 30, 2023 | 317,136.75 |
| Mar 31, 2023 | 295,138.85 |
| Dec 31, 2022 | 335,199.84 |
| Sep 30, 2022 | 364,204.47 |
| Jun 30, 2022 | 349,815.93 |
| Mar 31, 2022 | 345,790.23 |
| Dec 31, 2021 | 423,641.47 |
| Sep 30, 2021 | 403,559.93 |
NexGen 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=NXE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "NXE", "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=NXE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();