Coronado Global Resources (CODQL) Operating Expenses (2018 - 2026)
Coronado Global Resources' Operating Expenses came in at $558.65 million for Q2 2026, up 8.4% from $515.39 million a year earlier but down 8.1% from the prior quarter.
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Analysis
Coronado Global Resources (CODQL) Operating Expenses (2018 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Coronado Global Resources reported Operating Expenses of $2.37 billion, up 0.5% year-over-year; for FY2025, it came in at $2.28 billion, down 11.8% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 7.2% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $2.59 billion in FY2024 (-4.8%), $2.72 billion in FY2023 (+7.7%), $2.53 billion in FY2022 (+36.8%) and $1.85 billion in FY2021 (+14.6%).
- The five-year range for quarterly Operating Expenses is $465.43 million (Q3 2021) to $749.99 million (Q3 2023).
- Year-over-year, Operating Expenses has increased for three consecutive quarters, with an average decline of 7.2% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2022 (growth of 47.9%), and the weakest in Q1 2025 (a decline of 19.7%).
- Business Quant data shows CODQL's Operating Expenses at $607.94 million (Q1 2026), $649.47 million (Q4 2025) and $554.07 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cameco | 35.03 Bn | 31.62 Bn | - | - |
| 2 | NexGen Energy | 5.01 Bn | 2.56 Bn | - | 5.44 Mn |
| 3 | Warrior Met Coal | 4.47 Bn | 3.16 Bn | 169.64 Mn | 415.17 Mn |
| 4 | Core Natural Resources | 4.40 Bn | 2.63 Bn | 252.03 Mn | 985.26 Mn |
| 5 | Uranium Energy | 3.84 Bn | 2.25 Bn | 10.03 Mn | 45.84 Mn |
| 6 | Alliance Resource Partners | 3.30 Bn | 2.99 Bn | 202.70 Mn | 455.98 Mn |
| 7 | Peabody Energy | 2.76 Bn | 562.24 Mn | - | 953.90 Mn |
| 8 | Centrus Energy | 2.21 Bn | -5.12 Bn | 49.90 Mn | 37.00 Mn |
| 9 | Energy Fuels | 2.07 Bn | -875.16 Mn | 14.42 Mn | 55.68 Mn |
| 10 | Coronado Global Resources | 20.12 Mn | -543.74 Mn | 156.53 Mn | 558.65 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 558.65 Mn |
| Mar 31, 2026 | 607.94 Mn |
| Dec 31, 2025 | 649.47 Mn |
| Sep 30, 2025 | 554.07 Mn |
| Jun 30, 2025 | 515.39 Mn |
| Mar 31, 2025 | 562.54 Mn |
| Dec 31, 2024 | 604.52 Mn |
| Sep 30, 2024 | 675.38 Mn |
| Jun 30, 2024 | 607.23 Mn |
| Mar 31, 2024 | 700.12 Mn |
| Dec 31, 2023 | 746.19 Mn |
| Sep 30, 2023 | 749.99 Mn |
| Jun 30, 2023 | 606.26 Mn |
| Mar 31, 2023 | 616.19 Mn |
| Dec 31, 2022 | 616.06 Mn |
| Sep 30, 2022 | 688.35 Mn |
| Jun 30, 2022 | 646.13 Mn |
| Mar 31, 2022 | 574.73 Mn |
| Dec 31, 2021 | 507.55 Mn |
| Sep 30, 2021 | 465.43 Mn |
API Access
Coronado Global 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=CODQL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=operating-expenses&ticker=CODQL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();