GeoPark (GPRK) Operating Leases (2019 - 2026)
GeoPark's Operating Leases was $20.98 million in the quarter ended Jun 30, 2026, up 15.1% from $18.24 million a year earlier and up 3.6% from the prior quarter.
GeoPark (GPRK) Operating Leases (2019 - 2026) Analysis & Trends
As of Dec 31, 2025, Operating Leases at GeoPark came in at $18.89 million, up 9.1% from the prior year.
- In earlier years, Operating Leases was $17.32 million in the year ended Dec 31, 2024 (-26.0%), $23.39 million in the year ended Dec 31, 2023 (+6.1%), $22.05 million in the year ended Dec 31, 2022 (+76.2%) and $12.51 million in the year ended Dec 31, 2021.
- The figure for the quarter ended Jun 30, 2026 marks the highest quarterly Operating Leases since the quarter ended Mar 31, 2024.
- Compared with a year earlier, Operating Leases has increased for three straight quarters, with an average decline of 5.3% over the last eight quarters.
- The best year-over-year quarter for Operating Leases over five years was the quarter ended Jun 30, 2022 (growth of 174.3%); the worst was the quarter ended Dec 31, 2024 (a decline of 26.0%).
- Per Business Quant data, GPRK's Operating Leases in the three quarters before the quarter ended Jun 30, 2026 was $20.26 million (quarter ended Mar 31, 2026), $18.89 million (quarter ended Dec 31, 2025) and $18.77 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 673.87 Bn | 637.09 Bn | - |
| 2 | Shell | 543.95 Bn | 454.50 Bn | 30.13 Bn |
| 3 | Chevron | 409.32 Bn | 387.11 Bn | 33.45 Bn |
| 4 | TotalEnergies SE | 186.50 Bn | 69.63 Bn | - |
| 5 | Eni Spa | 171.15 Bn | 120.67 Bn | - |
| 6 | Conocophillips | 152.65 Bn | 125.36 Bn | 12.81 Bn |
| 7 | Equinor Asa | 105.44 Bn | 51.50 Bn | - |
| 8 | Phillips 66 | 105.42 Bn | 94.41 Bn | 8.38 Bn |
| 9 | Canadian Natural Resources | 99.52 Bn | 96.47 Bn | - |
| 10 | GeoPark | 538.27 Mn | -350.26 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 20.98 Mn |
| Mar 31, 2026 | 20.26 Mn |
| Dec 31, 2025 | 18.89 Mn |
| Sep 30, 2025 | 18.77 Mn |
| Jun 30, 2025 | 18.24 Mn |
| Mar 31, 2025 | 17.73 Mn |
| Dec 31, 2024 | 17.32 Mn |
| Sep 30, 2024 | 18.94 Mn |
| Jun 30, 2024 | 19.70 Mn |
| Mar 31, 2024 | 22.51 Mn |
| Dec 31, 2023 | 23.39 Mn |
| Sep 30, 2023 | 25.47 Mn |
| Jun 30, 2023 | 25.54 Mn |
| Mar 31, 2023 | 23.07 Mn |
| Dec 31, 2022 | 22.05 Mn |
| Sep 30, 2022 | 21.32 Mn |
| Jun 30, 2022 | 28.23 Mn |
| Mar 31, 2022 | 11.90 Mn |
| Dec 31, 2021 | 12.51 Mn |
| Sep 30, 2021 | 12.21 Mn |
GeoPark Operating Leases 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-leases&ticker=GPRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "ticker": "GPRK", "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-leases&ticker=GPRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();