Coronado Global Resources (CODQL) Price to Earnings (2021 - 2024)
Coronado Global Resources' Price to Earnings was 6.55 in Q1 2024, compared with 0.29 a year earlier and up 354.9% from the prior quarter.
Powered by 
Analysis
Coronado Global Resources (CODQL) Price to Earnings (2021 - 2024) Analysis & Trends
For FY2023, Price to Earnings at Coronado Global Resources came in at 1.44, up 369.9% from FY2022.
- In earlier years, Price to Earnings was 0.31 in FY2022 and 0.01 in FY2021.
- The Q1 2024 figure marks the highest quarterly Price to Earnings in data going back to Q4 2021.
- Per Business Quant data, CODQL's Price to Earnings in the three quarters before Q1 2024 was 1.44 (Q4 2023), 0.76 (Q3 2023) and 0.45 (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Cameco | 35.73 Bn | 32.32 Bn | - |
| 2 | NexGen Energy | 5.02 Bn | 2.57 Bn | - |
| 3 | Warrior Met Coal | 4.45 Bn | 3.15 Bn | 169.64 Mn |
| 4 | Core Natural Resources | 4.42 Bn | 2.66 Bn | 252.03 Mn |
| 5 | Uranium Energy | 3.84 Bn | 2.25 Bn | 10.03 Mn |
| 6 | Alliance Resource Partners | 3.31 Bn | 3.01 Bn | 202.70 Mn |
| 7 | Peabody Energy | 2.75 Bn | 549.43 Mn | - |
| 8 | Centrus Energy | 2.16 Bn | -5.17 Bn | 49.90 Mn |
| 9 | Energy Fuels | 2.05 Bn | -896.36 Mn | 14.42 Mn |
| 10 | Coronado Global Resources | 20.12 Mn | -543.74 Mn | 156.53 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2024 | 6.55 |
| Dec 31, 2023 | 1.44 |
| Sep 30, 2023 | 0.76 |
| Jun 30, 2023 | 0.45 |
| Mar 31, 2023 | 0.29 |
| Dec 31, 2022 | 0.31 |
| Sep 30, 2022 | 0.20 |
| Jun 30, 2022 | 0.00 |
| Mar 31, 2022 | 0.00 |
| Dec 31, 2021 | 0.01 |
API Access
Coronado Global Resources Price to Earnings 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=price-to-earnings&ticker=CODQL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=CODQL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();