GeoPark (GPRK) EV to EBITDA (2013 - 2026)
GeoPark's (GPRK) EV to EBITDA came in at 0.58 for the quarter ended Jun 30, 2026, up 145.0% from 0.24 a year earlier but down 38.1% from the prior quarter.
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Analysis
GeoPark (GPRK) EV to EBITDA (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, EV to EBITDA at GeoPark was -1.58; for the year ended Dec 31, 2025, it was 1.24, up 154.5% from the prior year.
- In prior years, GeoPark's EV to EBITDA was 0.49 in the year ended Dec 31, 2024 (-41.8%), 0.84 in the year ended Dec 31, 2023 (-41.1%), 1.42 in the year ended Dec 31, 2022 (-32.0%) and 2.09 in the year ended Dec 31, 2021 (-97.3%).
- Quarterly EV to EBITDA has run from a low of 0.24 in the quarter ended Jun 30, 2025 to a high of 6.75 in the quarter ended Sep 30, 2021 over five years.
- On a year-over-year basis, EV to EBITDA has increased in each of the last three quarters, with growth averaging 35.3% over the last eight quarters.
- The strongest year-over-year quarter for EV to EBITDA in the past five years was the quarter ended Mar 31, 2026, with growth of 236.1%; the weakest was the quarter ended Mar 31, 2022, with a decline of 95.5%.
- According to Business Quant data, EV to EBITDA for the three prior quarters was 0.94 (quarter ended Mar 31, 2026), 1.24 (quarter ended Dec 31, 2025) and 0.50 (quarter ended Sep 30, 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 753.32 Bn | 716.53 Bn | - |
| 2 | Chevron | 460.83 Bn | 438.62 Bn | 33.45 Bn |
| 3 | Shell | 307.74 Bn | 238.48 Bn | 30.13 Bn |
| 4 | TotalEnergies SE | 204.79 Bn | 87.92 Bn | 61.77 Bn |
| 5 | Conocophillips | 181.17 Bn | 153.88 Bn | 12.81 Bn |
| 6 | Equinor Asa | 122.04 Bn | 36.56 Bn | - |
| 7 | Canadian Natural Resources | 114.63 Bn | 111.64 Bn | 8.84 Bn |
| 8 | Phillips 66 | 112.97 Bn | 101.96 Bn | 8.38 Bn |
| 9 | Eni Spa | 97.68 Bn | 47.86 Bn | - |
| 10 | GeoPark | 608.59 Mn | -279.96 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 0.58 |
| Mar 31, 2026 | 0.94 |
| Dec 31, 2025 | 1.24 |
| Sep 30, 2025 | 0.50 |
| Jun 30, 2025 | 0.24 |
| Mar 31, 2025 | 0.28 |
| Dec 31, 2024 | 0.44 |
| Sep 30, 2024 | 0.69 |
| Jun 30, 2024 | 1.13 |
| Mar 31, 2024 | 0.92 |
| Dec 31, 2023 | 0.87 |
| Sep 30, 2023 | 1.07 |
| Jun 30, 2023 | 0.96 |
| Mar 31, 2023 | 0.90 |
| Dec 31, 2022 | 1.45 |
| Sep 30, 2022 | 1.40 |
| Jun 30, 2022 | 1.80 |
| Mar 31, 2022 | 3.42 |
| Dec 31, 2021 | 3.21 |
| Sep 30, 2021 | 3.73 |
API Access
GeoPark EV to 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=ev-to-ebitda&ticker=GPRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-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=ev-to-ebitda&ticker=GPRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();