Coronado Global Resources (CODQL) Capital Expenditures (2018 - 2026)
Coronado Global Resources (CODQL) reported Capital Expenditures of $24.57 million for Q2 2026, down 67.4% from $75.34 million a year earlier and down 27.9% from the prior quarter.
Coronado Global Resources (CODQL) Capital Expenditures (2018 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Coronado Global Resources' Capital Expenditures came in at $156.02 million, down 42.7% year-over-year; for FY2025, it was $244.78 million, down 1.4% from FY2024.
- Capital Expenditures has a five-year compound annual growth rate of 15.7% (FY2020 to FY2025).
- By year, Capital Expenditures came in at $248.14 million in FY2024 (+4.6%), $237.21 million in FY2023 (+18.8%), $199.72 million in FY2022 (+122.7%) and $89.66 million in FY2021 (-23.9%).
- The Q2 2026 figure ranks as the lowest quarterly Capital Expenditures since Q4 2021.
- Year over year, Capital Expenditures has now declined in each of the last four quarters, with an average decline of 17.0% over the last eight quarters.
- The high point for year-over-year Capital Expenditures in five years was Q4 2022 (growth of 319.8%); the low point was Q2 2026 (a decline of 67.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $34.07 million (Q1 2026), $37.91 million (Q4 2025) and $59.47 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cameco | 35.01 Bn | 31.59 Bn | - | - |
| 2 | NexGen Energy | 4.99 Bn | 2.53 Bn | - | -26.61 Mn |
| 3 | Warrior Met Coal | 4.44 Bn | 3.14 Bn | 169.64 Mn | 28.92 Mn |
| 4 | Core Natural Resources | 4.40 Bn | 2.64 Bn | 252.03 Mn | 105.35 Mn |
| 5 | Uranium Energy | 3.78 Bn | 2.19 Bn | 10.03 Mn | 3.09 Mn |
| 6 | Alliance Resource Partners | 3.30 Bn | 2.99 Bn | 202.70 Mn | 50.01 Mn |
| 7 | Peabody Energy | 2.76 Bn | 562.24 Mn | - | 58.40 Mn |
| 8 | Centrus Energy | 2.19 Bn | -5.14 Bn | 49.90 Mn | 71.60 Mn |
| 9 | Energy Fuels | 2.04 Bn | -905.08 Mn | 14.42 Mn | 4.02 Mn |
| 10 | Coronado Global Resources | 20.12 Mn | -543.74 Mn | 156.53 Mn | 24.57 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 24.57 Mn |
| Mar 31, 2026 | 34.07 Mn |
| Dec 31, 2025 | 37.91 Mn |
| Sep 30, 2025 | 59.47 Mn |
| Jun 30, 2025 | 75.34 Mn |
| Mar 31, 2025 | 72.06 Mn |
| Dec 31, 2024 | 47.00 Mn |
| Sep 30, 2024 | 77.67 Mn |
| Jun 30, 2024 | 68.55 Mn |
| Mar 31, 2024 | 54.93 Mn |
| Dec 31, 2023 | 54.76 Mn |
| Sep 30, 2023 | 77.59 Mn |
| Jun 30, 2023 | 50.01 Mn |
| Mar 31, 2023 | 54.84 Mn |
| Dec 31, 2022 | 57.79 Mn |
| Sep 30, 2022 | 54.05 Mn |
| Jun 30, 2022 | 50.11 Mn |
| Mar 31, 2022 | 37.77 Mn |
| Dec 31, 2021 | 13.76 Mn |
| Sep 30, 2021 | 17.59 Mn |
Coronado Global Resources Capital Expenditures 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=capital-expenditures&ticker=CODQL&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=CODQL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();