Kimbell Royalty Partners (KRP) Operating Expenses (2016 - 2026)
Kimbell Royalty Partners (KRP) posted Operating Expenses of $52.8 million for Q2 2026, up 8.3% from $48.76 million a year earlier and up 6.1% from the prior quarter.
Kimbell Royalty Partners (KRP) Operating Expenses (2016 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Operating Expenses at Kimbell Royalty Partners was $204.15 million, down 19.7% year-over-year; for FY2025, it was $201 million, down 26.2% from FY2024.
- Annual Operating Expenses shows a five-year compound annual growth rate of -10.0% (FY2020 to FY2025).
- In prior years, Kimbell Royalty Partners' Operating Expenses was $272.31 million in FY2024 (+47.8%), $184.19 million in FY2023 (+65.7%), $111.14 million in FY2022 (+28.8%) and $86.3 million in FY2021 (-74.7%).
- The Q2 2026 figure stands as the highest quarterly Operating Expenses since Q4 2024.
- On a year-over-year basis, Operating Expenses increased in four of the last eight quarters, with an average decline of 0.9%.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q4 2023, with growth of 143.5%; the weakest was Q4 2021, with a decline of 79.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $49.75 million (Q1 2026), $49.84 million (Q4 2025) and $51.77 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 | Kimbell Royalty Partners | 1.46 Bn | 1.29 Bn | - | 52.80 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 52.80 Mn |
| Mar 31, 2026 | 49.75 Mn |
| Dec 31, 2025 | 49.84 Mn |
| Sep 30, 2025 | 51.77 Mn |
| Jun 30, 2025 | 48.76 Mn |
| Mar 31, 2025 | 50.63 Mn |
| Dec 31, 2024 | 105.38 Mn |
| Sep 30, 2024 | 49.58 Mn |
| Jun 30, 2024 | 52.68 Mn |
| Mar 31, 2024 | 64.67 Mn |
| Dec 31, 2023 | 72.58 Mn |
| Sep 30, 2023 | 41.91 Mn |
| Jun 30, 2023 | 36.11 Mn |
| Mar 31, 2023 | 33.59 Mn |
| Dec 31, 2022 | 29.80 Mn |
| Sep 30, 2022 | 26.92 Mn |
| Jun 30, 2022 | 28.80 Mn |
| Mar 31, 2022 | 25.62 Mn |
| Dec 31, 2021 | 24.04 Mn |
| Sep 30, 2021 | 21.70 Mn |
Kimbell Royalty Partners 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=KRP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KRP", "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=KRP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();