Warrior Met Coal (HCC) Operating Expenses (2016 - 2026)
Warrior Met Coal's Operating Expenses came in at $415.17 million for Q2 2026, up 43.3% from $289.8 million a year earlier and up 9.5% from the prior quarter.
Warrior Met Coal (HCC) Operating Expenses (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Warrior Met Coal reported Operating Expenses of $1.45 billion, up 21.2% year-over-year; for FY2025, it was $1.26 billion, down 0.5% from FY2024.
- Operating Expenses carries a five-year compound annual growth rate of 9.3% (FY2020 to FY2025).
- Going back by year, Operating Expenses was $1.27 billion in FY2024 (+11.9%), $1.14 billion in FY2023 (+21.1%), $937.31 million in FY2022 (+14.9%) and $815.46 million in FY2021 (+0.7%).
- The Q2 2026 figure represents the highest quarterly Operating Expenses in data going back to Q1 2017.
- Year-over-year, Operating Expenses has increased for four consecutive quarters, with growth averaging 10.8% over the last eight quarters.
- The fastest year-over-year change in Operating Expenses over five years came in Q3 2022 (growth of 75.7%), and the weakest in Q3 2021 (a decline of 22.3%).
- Business Quant data shows HCC's Operating Expenses at $379.22 million (Q1 2026), $349.34 million (Q4 2025) and $307.87 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cameco | 37.84 Bn | 33.63 Bn | 190.14 Mn | 9.50 Mn |
| 2 | NexGen Energy | 5.97 Bn | 3.49 Bn | - | 301,459.84 |
| 3 | Warrior Met Coal | 4.65 Bn | 3.35 Bn | 169.64 Mn | 415.17 Mn |
| 4 | Uranium Energy | 4.61 Bn | 3.03 Bn | 10.03 Mn | 45.84 Mn |
| 5 | Core Natural Resources | 4.31 Bn | 2.55 Bn | 252.03 Mn | 985.26 Mn |
| 6 | Alliance Resource Partners | 3.14 Bn | 2.83 Bn | 202.70 Mn | 455.98 Mn |
| 7 | Peabody Energy | 2.97 Bn | 823.82 Mn | - | 953.90 Mn |
| 8 | Energy Fuels | 2.74 Bn | -196.21 Mn | 14.42 Mn | 55.68 Mn |
| 9 | Centrus Energy | 2.66 Bn | -4.67 Bn | 49.90 Mn | 37.00 Mn |
| 10 | Alpha Metallurgical Resources | 2.11 Bn | 526.83 Mn | 49.19 Mn | 503.36 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 415.17 Mn |
| Mar 31, 2026 | 379.22 Mn |
| Dec 31, 2025 | 349.34 Mn |
| Sep 30, 2025 | 307.87 Mn |
| Jun 30, 2025 | 289.80 Mn |
| Mar 31, 2025 | 317.33 Mn |
| Dec 31, 2024 | 301.67 Mn |
| Sep 30, 2024 | 288.60 Mn |
| Jun 30, 2024 | 325.62 Mn |
| Mar 31, 2024 | 354.43 Mn |
| Dec 31, 2023 | 230.25 Mn |
| Sep 30, 2023 | 315.74 Mn |
| Jun 30, 2023 | 289.22 Mn |
| Mar 31, 2023 | 300.01 Mn |
| Dec 31, 2022 | 227.14 Mn |
| Sep 30, 2022 | 265.74 Mn |
| Jun 30, 2022 | 252.63 Mn |
| Mar 31, 2022 | 191.80 Mn |
| Dec 31, 2021 | 231.29 Mn |
| Sep 30, 2021 | 151.22 Mn |
Warrior Met Coal 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=HCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "HCC", "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=HCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();