Warrior Met Coal (HCC) EBITDA (2016 - 2026)
Warrior Met Coal's EBITDA came in at $152.81 million for Q2 2026, up 199.8% from $50.98 million a year earlier and up 16.1% from the prior quarter.
Warrior Met Coal (HCC) EBITDA (2016 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Warrior Met Coal reported EBITDA of $439.89 million, up 132.0% year-over-year; for FY2025, it came in at $234.31 million, down 42.7% from FY2024.
- EBITDA has declined in each of the last three years, though with a five-year compound annual growth rate of 20.8% (FY2020 to FY2025).
- Going back by year, EBITDA was $408.89 million in FY2024 (-38.9%), $668.81 million in FY2023 (-27.0%), $916.72 million in FY2022 (+138.0%) and $385.17 million in FY2021 (+323.4%).
- The Q2 2026 figure represents the highest quarterly EBITDA since Q1 2024.
- Year-over-year, EBITDA has increased for three consecutive quarters, with growth averaging 56.8% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q2 2022 (growth of 979.6%), and the weakest in Q1 2025 (a decline of 85.2%).
- Business Quant data shows HCC's EBITDA at $131.64 million (Q1 2026), $91.12 million (Q4 2025) and $64.32 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Cameco | 35.01 Bn | 31.59 Bn | - | 98.41 Mn |
| 2 | NexGen Energy | 4.99 Bn | 2.53 Bn | - | 53.20 Mn |
| 3 | Warrior Met Coal | 4.44 Bn | 3.14 Bn | 169.64 Mn | 153.19 Mn |
| 4 | Core Natural Resources | 4.40 Bn | 2.64 Bn | 252.03 Mn | 322.52 Mn |
| 5 | Uranium Energy | 3.78 Bn | 2.19 Bn | 10.03 Mn | -37.05 Mn |
| 6 | Alliance Resource Partners | 3.30 Bn | 2.99 Bn | 202.70 Mn | 176.86 Mn |
| 7 | Peabody Energy | 2.76 Bn | 562.24 Mn | - | 2.10 Mn |
| 8 | Centrus Energy | 2.19 Bn | -5.14 Bn | 49.90 Mn | 14.70 Mn |
| 9 | Energy Fuels | 2.04 Bn | -905.08 Mn | 14.42 Mn | -28.91 Mn |
| 10 | Alpha Metallurgical Resources | 2.01 Bn | 429.99 Mn | 49.19 Mn | 26.42 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 153.19 Mn |
| Mar 31, 2026 | 132.02 Mn |
| Dec 31, 2025 | 91.46 Mn |
| Sep 30, 2025 | 64.73 Mn |
| Jun 30, 2025 | 51.39 Mn |
| Mar 31, 2025 | 28.30 Mn |
| Dec 31, 2024 | 35.38 Mn |
| Sep 30, 2024 | 76.16 Mn |
| Jun 30, 2024 | 109.45 Mn |
| Mar 31, 2024 | 189.49 Mn |
| Dec 31, 2023 | 159.56 Mn |
| Sep 30, 2023 | 142.25 Mn |
| Jun 30, 2023 | 121.50 Mn |
| Mar 31, 2023 | 247.59 Mn |
| Dec 31, 2022 | 146.23 Mn |
| Sep 30, 2022 | 157.06 Mn |
| Jun 30, 2022 | 403.43 Mn |
| Mar 31, 2022 | 213.17 Mn |
| Dec 31, 2021 | 224.11 Mn |
| Sep 30, 2021 | 80.65 Mn |
Warrior Met Coal EBITDA 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=ebitda&ticker=HCC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=HCC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();