Range Resources (RRC) Operating Expenses (2009 - 2026)
Range Resources (RRC) posted Operating Expenses of $584.94 million for Q2 2026, up 5.5% from $554.23 million a year earlier but down 2.7% from the prior quarter.
Range Resources (RRC) Operating Expenses (2009 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Range Resources was $2.33 billion, up 3.9% year-over-year; for FY2025, it came in at $2.28 billion, up 5.4% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -3.3% (FY2020 to FY2025).
- In prior years, Range Resources' Operating Expenses was $2.17 billion in FY2024 (-4.8%), $2.27 billion in FY2023 (-16.8%), $2.73 billion in FY2022 (+8.1%) and $2.53 billion in FY2021 (-6.6%).
- Quarterly Operating Expenses has run from a low of $520.1 million in Q2 2024 to a high of $753.63 million in Q1 2022 over five years.
- On a year-over-year basis, Operating Expenses has increased in each of the last eight quarters, with growth averaging 4.1% 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 26.4%; the weakest was Q3 2021, with a decline of 37.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $601.01 million (Q1 2026), $583.59 million (Q4 2025) and $565.18 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 540.77 Bn | 451.32 Bn | 30.13 Bn | 3.19 Bn |
| 2 | Chevron | 403.83 Bn | 381.62 Bn | 33.45 Bn | 53.37 Bn |
| 3 | TotalEnergies SE | 188.75 Bn | 71.88 Bn | - | 46.44 Bn |
| 4 | Eni Spa | 170.81 Bn | 120.33 Bn | - | - |
| 5 | Conocophillips | 150.42 Bn | 123.13 Bn | 12.81 Bn | 2.43 Bn |
| 6 | Equinor Asa | 104.06 Bn | 50.12 Bn | - | -22.18 Bn |
| 7 | Phillips 66 | 101.90 Bn | 90.89 Bn | 8.38 Bn | 47.07 Bn |
| 8 | Canadian Natural Resources | 97.96 Bn | 94.91 Bn | - | 114.95 Mn |
| 9 | Suncor Energy | 80.99 Bn | 66.79 Bn | - | 17.00 Mn |
| 10 | Range Resources | 8.66 Bn | 8.66 Bn | 774.23 Mn | 584.94 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 584.94 Mn |
| Mar 31, 2026 | 601.01 Mn |
| Dec 31, 2025 | 583.59 Mn |
| Sep 30, 2025 | 565.18 Mn |
| Jun 30, 2025 | 554.23 Mn |
| Mar 31, 2025 | 580.82 Mn |
| Dec 31, 2024 | 562.39 Mn |
| Sep 30, 2024 | 548.87 Mn |
| Jun 30, 2024 | 520.10 Mn |
| Mar 31, 2024 | 535.11 Mn |
| Dec 31, 2023 | 554.87 Mn |
| Sep 30, 2023 | 544.60 Mn |
| Jun 30, 2023 | 592.03 Mn |
| Mar 31, 2023 | 583.03 Mn |
| Dec 31, 2022 | 632.97 Mn |
| Sep 30, 2022 | 677.84 Mn |
| Jun 30, 2022 | 668.96 Mn |
| Mar 31, 2022 | 753.63 Mn |
| Dec 31, 2021 | 656.95 Mn |
| Sep 30, 2021 | 682.59 Mn |
Range 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=RRC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "RRC", "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=RRC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();