CNX Resources (CNX) Operating Expenses (2009 - 2026)
CNX Resources (CNX) posted Operating Expenses of $381.54 million for Q2 2026, up 1.3% from $376.78 million a year earlier and up 6.5% from the prior quarter.
CNX Resources (CNX) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at CNX Resources was $1.47 billion, up 4.5% year-over-year; for FY2025, it was $1.44 billion, up 3.5% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -5.0% (FY2020 to FY2025).
- In prior years, CNX Resources' Operating Expenses was $1.39 billion in FY2024 (+14.4%), $1.21 billion in FY2023 (-17.7%), $1.47 billion in FY2022 (+5.7%) and $1.39 billion in FY2021 (-25.1%).
- Quarterly Operating Expenses has run from a low of $271.63 million in Q2 2023 to a high of $386.08 million in Q4 2025 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 3.9% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q2 2024, with growth of 23.9%; the weakest was Q2 2023, with a decline of 27.3%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $358.25 million (Q1 2026), $386.08 million (Q4 2025) and $340.89 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 548.90 Bn | 459.45 Bn | 30.13 Bn | 3.19 Bn |
| 2 | Chevron | 407.58 Bn | 385.38 Bn | 33.45 Bn | 53.37 Bn |
| 3 | TotalEnergies SE | 199.37 Bn | 82.49 Bn | - | 46.44 Bn |
| 4 | Eni Spa | 174.90 Bn | 124.42 Bn | - | - |
| 5 | Conocophillips | 151.32 Bn | 124.03 Bn | 12.81 Bn | 2.43 Bn |
| 6 | Equinor Asa | 105.71 Bn | 51.77 Bn | - | -22.18 Bn |
| 7 | Phillips 66 | 101.18 Bn | 90.17 Bn | 8.38 Bn | 47.07 Bn |
| 8 | Canadian Natural Resources | 99.04 Bn | 95.99 Bn | - | 114.95 Mn |
| 9 | Suncor Energy | 82.08 Bn | 67.87 Bn | - | 17.00 Mn |
| 10 | CNX Resources | 4.72 Bn | 4.71 Bn | 512.51 Mn | 381.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 381.54 Mn |
| Mar 31, 2026 | 358.25 Mn |
| Dec 31, 2025 | 386.08 Mn |
| Sep 30, 2025 | 340.89 Mn |
| Jun 30, 2025 | 376.78 Mn |
| Mar 31, 2025 | 355.19 Mn |
| Dec 31, 2024 | 330.58 Mn |
| Sep 30, 2024 | 341.65 Mn |
| Jun 30, 2024 | 336.69 Mn |
| Mar 31, 2024 | 378.23 Mn |
| Dec 31, 2023 | 319.85 Mn |
| Sep 30, 2023 | 331.26 Mn |
| Jun 30, 2023 | 271.63 Mn |
| Mar 31, 2023 | 348.02 Mn |
| Dec 31, 2022 | 380.48 Mn |
| Sep 30, 2022 | 383.78 Mn |
| Jun 30, 2022 | 373.49 Mn |
| Mar 31, 2022 | 335.41 Mn |
| Dec 31, 2021 | 384.48 Mn |
| Sep 30, 2021 | 352.19 Mn |
CNX 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=CNX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "CNX", "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=CNX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();