Peabody Energy (BTU) Operating Expenses (2009 - 2026)
Peabody Energy (BTU) posted Operating Expenses of $953.9 million for Q2 2026, up 20.8% from $789.4 million a year earlier and up 10.3% from the prior quarter.
Peabody Energy (BTU) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Peabody Energy was $3.59 billion, up 6.9% year-over-year; for FY2025, it was $3.33 billion, down 2.5% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 5.7% (FY2020 to FY2025).
- In prior years, Peabody Energy's Operating Expenses was $3.42 billion in FY2024 (+1.1%), $3.39 billion in FY2023 (+2.9%), $3.29 billion in FY2022 (+28.9%) and $2.55 billion in FY2021 (+1.1%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q4 2024.
- On a year-over-year basis, Operating Expenses increased in five of the last eight quarters, with growth averaging 4.8%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2022, with growth of 35.0%; the weakest was Q4 2025, with a decline of 8.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $864.7 million (Q1 2026), $878.4 million (Q4 2025) and $896.9 million (Q3 2025).
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 | 953.90 Mn |
| Mar 31, 2026 | 864.70 Mn |
| Dec 31, 2025 | 878.40 Mn |
| Sep 30, 2025 | 896.90 Mn |
| Jun 30, 2025 | 789.40 Mn |
| Mar 31, 2025 | 770.20 Mn |
| Dec 31, 2024 | 957.00 Mn |
| Sep 30, 2024 | 845.80 Mn |
| Jun 30, 2024 | 803.90 Mn |
| Mar 31, 2024 | 814.20 Mn |
| Dec 31, 2023 | 872.80 Mn |
| Sep 30, 2023 | 803.70 Mn |
| Jun 30, 2023 | 862.00 Mn |
| Mar 31, 2023 | 846.60 Mn |
| Dec 31, 2022 | 927.80 Mn |
| Sep 30, 2022 | 838.40 Mn |
| Jun 30, 2022 | 825.60 Mn |
| Mar 31, 2022 | 699.00 Mn |
| Dec 31, 2021 | 709.70 Mn |
| Sep 30, 2021 | 649.40 Mn |
Peabody 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=BTU&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "BTU", "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=BTU&period=max&api_key=YOUR_API_KEY");
const data = await res.json();