Kimbell Royalty Partners (KRP) Price to Earnings (2017 - 2026)
Kimbell Royalty Partners' (KRP) Price to Earnings stood at 18.66 in Q2 2026, down 44.9% from the prior quarter.
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Analysis
Kimbell Royalty Partners (KRP) Price to Earnings (2017 - 2026) Analysis & Trends
For FY2025, Kimbell Royalty Partners' Price to Earnings came in at 19.60.
- Across earlier years, Price to Earnings came in at 18.48 in FY2023 (+92.8%), 9.58 in FY2022 (-66.3%) and 28.42 in FY2021.
- The Q2 2026 figure is the lowest quarterly Price to Earnings since Q4 2023.
- Peak year-over-year performance for Price to Earnings in the last five years was growth of 671.0% in Q1 2025, against a decline of 84.8% in Q1 2026 at the low end.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 674.90 Bn | 638.12 Bn | - |
| 2 | Shell | 547.48 Bn | 458.03 Bn | 30.13 Bn |
| 3 | Chevron | 408.53 Bn | 386.32 Bn | 33.45 Bn |
| 4 | TotalEnergies SE | 186.30 Bn | 69.43 Bn | - |
| 5 | Eni Spa | 172.32 Bn | 121.84 Bn | - |
| 6 | Conocophillips | 152.28 Bn | 124.99 Bn | 12.81 Bn |
| 7 | Equinor Asa | 106.44 Bn | 52.50 Bn | - |
| 8 | Phillips 66 | 105.58 Bn | 94.57 Bn | 8.38 Bn |
| 9 | Canadian Natural Resources | 100.85 Bn | 97.81 Bn | - |
| 10 | Kimbell Royalty Partners | 1.47 Bn | 1.31 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.66 |
| Mar 31, 2026 | 33.87 |
| Dec 31, 2025 | 19.60 |
| Mar 31, 2025 | 223.36 |
| Sep 30, 2024 | 33.64 |
| Jun 30, 2024 | 37.92 |
| Mar 31, 2024 | 28.97 |
| Dec 31, 2023 | 18.48 |
| Sep 30, 2023 | 15.00 |
| Jun 30, 2023 | 9.31 |
| Mar 31, 2023 | 7.73 |
| Dec 31, 2022 | 9.58 |
| Sep 30, 2022 | 9.40 |
| Jun 30, 2022 | 13.41 |
| Mar 31, 2022 | 24.37 |
| Dec 31, 2021 | 28.42 |
| Dec 31, 2017 | 159.46 |
| Sep 30, 2017 | 567.23 |
API Access
Kimbell Royalty Partners Price to Earnings 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=price-to-earnings&ticker=KRP&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "price-to-earnings", "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=price-to-earnings&ticker=KRP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();