Coronado Global Resources (CODQL) Other Operating Expenses (2018 - 2026)
Coronado Global Resources' Other Operating Expenses came in at $44.57 million for Q2 2026, up 17.2% from $38.01 million a year earlier and up 46.9% from the prior quarter.
Coronado Global Resources (CODQL) Other Operating Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Coronado Global Resources reported Other Operating Expenses of $159.3 million, down 18.9% year-over-year; for FY2025, it was $163.75 million, down 43.5% from FY2024.
- Other Operating Expenses has declined in each of the last three years, though with a five-year compound annual growth rate of 14.0% (FY2020 to FY2025).
- Going back by year, Other Operating Expenses was $289.68 million in FY2024 (-16.2%), $345.88 million in FY2023 (-10.2%), $385.07 million in FY2022 (+169.7%) and $142.75 million in FY2021 (+68.2%).
- The five-year range for quarterly Other Operating Expenses is $30.35 million (Q1 2026) to $137.33 million (Q3 2022).
- Year-over-year, Other Operating Expenses increased in 1 of the last eight quarters, with an average decline of 29.2%.
- The fastest year-over-year change in Other Operating Expenses over five years came in Q1 2022 (growth of 296.4%), and the weakest in Q2 2025 (a decline of 56.5%).
- Business Quant data shows CODQL's Other Operating Expenses at $30.35 million (Q1 2026), $45.69 million (Q4 2025) and $38.69 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cameco | 35.01 Bn | 31.59 Bn | - |
| 2 | NexGen Energy | 4.99 Bn | 2.53 Bn | - |
| 3 | Warrior Met Coal | 4.44 Bn | 3.14 Bn | 169.64 Mn |
| 4 | Core Natural Resources | 4.40 Bn | 2.64 Bn | 252.03 Mn |
| 5 | Uranium Energy | 3.78 Bn | 2.19 Bn | 10.03 Mn |
| 6 | Alliance Resource Partners | 3.30 Bn | 2.99 Bn | 202.70 Mn |
| 7 | Peabody Energy | 2.76 Bn | 562.24 Mn | - |
| 8 | Centrus Energy | 2.19 Bn | -5.14 Bn | 49.90 Mn |
| 9 | Energy Fuels | 2.04 Bn | -905.08 Mn | 14.42 Mn |
| 10 | Coronado Global Resources | 20.12 Mn | -543.74 Mn | 156.53 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.57 Mn |
| Mar 31, 2026 | 30.35 Mn |
| Dec 31, 2025 | 45.69 Mn |
| Sep 30, 2025 | 38.69 Mn |
| Jun 30, 2025 | 38.01 Mn |
| Mar 31, 2025 | 41.35 Mn |
| Dec 31, 2024 | 54.07 Mn |
| Sep 30, 2024 | 63.02 Mn |
| Jun 30, 2024 | 87.43 Mn |
| Mar 31, 2024 | 85.16 Mn |
| Dec 31, 2023 | 77.28 Mn |
| Sep 30, 2023 | 92.70 Mn |
| Jun 30, 2023 | 89.95 Mn |
| Mar 31, 2023 | 85.96 Mn |
| Dec 31, 2022 | 85.35 Mn |
| Sep 30, 2022 | 137.33 Mn |
| Jun 30, 2022 | 79.35 Mn |
| Mar 31, 2022 | 83.03 Mn |
| Dec 31, 2021 | 59.53 Mn |
| Sep 30, 2021 | 39.10 Mn |
Coronado Global Resources Other 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=other-operating-expenses&ticker=CODQL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "CODQL", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=CODQL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();