Riley Exploration Permian (REPX) Operating Expenses (2010 - 2026)
Riley Exploration Permian (REPX) posted Operating Expenses of $78.62 million for Q2 2026, up 38.8% from $56.64 million a year earlier and up 12.0% from the prior quarter.
Riley Exploration Permian (REPX) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Riley Exploration Permian was $297.94 million, up 12.4% year-over-year; for FY2025, it came in at $258.7 million, up 0.9% from FY2024.
- Annual Operating Expenses has increased for six consecutive years, with a five-year compound annual growth rate of 106.7% (FY2020 to FY2025).
- In prior years, Riley Exploration Permian's Operating Expenses was $256.49 million in FY2024 (+26.3%), $203.15 million in FY2023 (+71.8%), $118.22 million in FY2022 (+394.8%) and $23.89 million in FY2021 (+248.6%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q3 2024.
- On a year-over-year basis, Operating Expenses has increased in each of the last three quarters, with growth averaging 19.5% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2024, with growth of 69.5%; the weakest was Q3 2025, with a decline of 8.1%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $70.21 million (Q1 2026), $71.12 million (Q4 2025) and $77.99 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 | Riley Exploration Permian | 888.81 Mn | 888.81 Mn | - | 78.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 78.62 Mn |
| Mar 31, 2026 | 70.21 Mn |
| Dec 31, 2025 | 71.12 Mn |
| Sep 30, 2025 | 77.99 Mn |
| Jun 30, 2025 | 56.64 Mn |
| Mar 31, 2025 | 52.96 Mn |
| Dec 31, 2024 | 70.66 Mn |
| Sep 30, 2024 | 84.86 Mn |
| Jun 30, 2024 | 51.79 Mn |
| Mar 31, 2024 | 49.18 Mn |
| Dec 31, 2023 | 67.21 Mn |
| Sep 30, 2023 | 50.07 Mn |
| Jun 30, 2023 | 54.90 Mn |
| Mar 31, 2023 | 30.98 Mn |
| Sep 30, 2022 | 28.95 Mn |
| Jun 30, 2022 | 25.84 Mn |
| Mar 31, 2022 | 26.22 Mn |
| Sep 30, 2021 | 21.72 Mn |
| Jun 30, 2021 | 22.87 Mn |
| Mar 31, 2021 | 30.23 Mn |
Riley Exploration Permian 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=REPX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "REPX", "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=REPX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();