Ramaco Resources (METC) Operating Expenses (2016 - 2026)
Ramaco Resources (METC) posted Operating Expenses of $163.05 million for Q2 2026, down 2.3% from $166.8 million a year earlier but up 11.7% from the prior quarter.
Ramaco Resources (METC) Operating Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Ramaco Resources was $588.06 million, down 8.7% year-over-year; for FY2025, it was $592.57 million, down 8.8% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of 25.8% (FY2020 to FY2025).
- In prior years, Ramaco Resources' Operating Expenses was $649.66 million in FY2024 (+8.6%), $598.28 million in FY2023 (+44.1%), $415.3 million in FY2022 (+70.3%) and $243.86 million in FY2021 (+29.7%).
- Quarterly Operating Expenses has run from a low of $65 million in Q4 2021 to a high of $170.89 million in Q3 2023 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last four quarters, with an average decline of 4.9% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q1 2022, with growth of 141.6%; the weakest was Q3 2025, with a decline of 18.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $145.92 million (Q1 2026), $143.61 million (Q4 2025) and $135.48 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Cameco | 35.01 Bn | 31.59 Bn | - | - |
| 2 | NexGen Energy | 4.99 Bn | 2.53 Bn | - | 5.44 Mn |
| 3 | Warrior Met Coal | 4.44 Bn | 3.14 Bn | 169.64 Mn | 415.17 Mn |
| 4 | Core Natural Resources | 4.40 Bn | 2.64 Bn | 252.03 Mn | 985.26 Mn |
| 5 | Uranium Energy | 3.78 Bn | 2.19 Bn | 10.03 Mn | 45.84 Mn |
| 6 | Alliance Resource Partners | 3.30 Bn | 2.99 Bn | 202.70 Mn | 455.98 Mn |
| 7 | Peabody Energy | 2.76 Bn | 562.24 Mn | - | 953.90 Mn |
| 8 | Centrus Energy | 2.19 Bn | -5.14 Bn | 49.90 Mn | 37.00 Mn |
| 9 | Energy Fuels | 2.04 Bn | -905.08 Mn | 14.42 Mn | 55.68 Mn |
| 10 | Ramaco Resources | 468.26 Mn | -803.67 Mn | 16.62 Mn | 163.05 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 163.05 Mn |
| Mar 31, 2026 | 145.92 Mn |
| Dec 31, 2025 | 143.61 Mn |
| Sep 30, 2025 | 135.48 Mn |
| Jun 30, 2025 | 166.80 Mn |
| Mar 31, 2025 | 146.68 Mn |
| Dec 31, 2024 | 164.54 Mn |
| Sep 30, 2024 | 165.82 Mn |
| Jun 30, 2024 | 149.90 Mn |
| Mar 31, 2024 | 169.40 Mn |
| Dec 31, 2023 | 165.48 Mn |
| Sep 30, 2023 | 170.89 Mn |
| Jun 30, 2023 | 127.42 Mn |
| Mar 31, 2023 | 134.49 Mn |
| Dec 31, 2022 | 117.11 Mn |
| Sep 30, 2022 | 100.24 Mn |
| Jun 30, 2022 | 95.97 Mn |
| Mar 31, 2022 | 101.99 Mn |
| Dec 31, 2021 | 65.00 Mn |
| Sep 30, 2021 | 67.61 Mn |
Ramaco Resources 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=METC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "METC", "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=METC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();