GeoPark (GPRK) EBITDA (2013 - 2026)
GeoPark (GPRK) posted EBITDA of $54.54 million for Q3 2026, up 88.3% from $28.96 million a year earlier but down 23.0% from the prior quarter.
GeoPark (GPRK) EBITDA (2013 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, EBITDA at GeoPark was $347.1 million, up 53.1% year-over-year; for FY2025, it was $277.03 million, down 36.4% from FY2024.
- Annual EBITDA shows a five-year compound annual growth rate of 106.3% (FY2020 to FY2025).
- In prior years, GeoPark's EBITDA was $435.29 million in FY2024 (+3.0%), $422.68 million in FY2023 (-24.8%), $562.13 million in FY2022 (+104.6%) and $274.78 million in FY2021.
- Quarterly EBITDA has run from a low of $25.50 in Q4 2021 to a high of $166.8 million in Q3 2022 over five years.
- On a year-over-year basis, EBITDA has increased in each of the last four quarters, with growth averaging 12.0% over the last eight quarters.
- The strongest year-over-year quarter for EBITDA in the past five years was Q2 2022, with growth of 318.7%; the weakest was Q2 2025, with a decline of 71.0%.
- According to Business Quant data, EBITDA for the three prior quarters was $70.86 million (Q2 2026), $84 million (Q1 2026) and $137.7 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn | 28.22 Bn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - | 24.40 Bn |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn | 20.20 Bn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn | 30.84 Bn |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - | 3.94 Bn |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn | 13.20 Bn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn | 15.06 Bn |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn | 10.23 Bn |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn | 7.94 Bn |
| 10 | GeoPark | 487.60 Mn | -457.36 Mn | - | 54.54 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 54.54 Mn |
| Jun 30, 2026 | 70.86 Mn |
| Mar 31, 2026 | 84.00 Mn |
| Dec 31, 2025 | 137.70 Mn |
| Sep 30, 2025 | 28.96 Mn |
| Jun 30, 2025 | 36.09 Mn |
| Mar 31, 2025 | 82.46 Mn |
| Dec 31, 2024 | 79.21 Mn |
| Sep 30, 2024 | 87.75 Mn |
| Jun 30, 2024 | 124.63 Mn |
| Mar 31, 2024 | 112.61 Mn |
| Dec 31, 2023 | 78.86 Mn |
| Sep 30, 2023 | 110.30 Mn |
| Jun 30, 2023 | 98.86 Mn |
| Mar 31, 2023 | 103.80 Mn |
| Dec 31, 2022 | 112.19 Mn |
| Sep 30, 2022 | 42.40 |
| Jun 30, 2022 | 41.90 |
| Mar 31, 2022 | 37.30 |
| Dec 31, 2021 | 25.50 |
GeoPark EBITDA 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=ebitda&ticker=GPRK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=GPRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();