GeoPark (GPRK) Depreciation and Depletion (2013 - 2026)
GeoPark's Depreciation and Depletion was -$55.96 million in Q3 2026, compared with -$60.94 million a year earlier.
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Analysis
GeoPark (GPRK) Depreciation and Depletion (2013 - 2026) Analysis & Trends
On a trailing twelve-month basis, GeoPark's Depreciation and Depletion was $117.19 million through Sep 30, 2026, up 237.7% year-over-year; for FY2025, it was $117.19 million, down 10.3% from FY2024.
- Depreciation and Depletion shows a five-year compound annual growth rate of -0.2% (FY2020 to FY2025).
- In earlier years, Depreciation and Depletion was $130.66 million in FY2024 (+8.0%), $120.93 million in FY2023 (+25.1%), $96.69 million in FY2022 (+8.7%) and $88.97 million in FY2021 (-24.6%).
- Quarterly Depreciation and Depletion has moved between -$60.94 million (Q3 2025) and $117.1 million (Q4 2025) over five years.
- Compared with a year earlier, Depreciation and Depletion was higher in four of the last six quarters, with growth averaging 36.6%.
- The best year-over-year quarter for Depreciation and Depletion over five years was Q4 2025 (growth of 238.3%); the worst was Q4 2021 (a decline of 22.9%).
- Per Business Quant data, GPRK's Depreciation and Depletion in the three quarters before Q3 2026 was $30.06 million (Q2 2026), $25.99 million (Q1 2026) and $117.1 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn | - |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - | - |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn | - |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn | - |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - | - |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn | - |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn | - |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn | - |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn | - |
| 10 | GeoPark | 487.60 Mn | -457.36 Mn | - | -55.96 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -55.96 Mn |
| Jun 30, 2026 | 30.06 Mn |
| Mar 31, 2026 | 25.99 Mn |
| Dec 31, 2025 | 117.10 Mn |
| Sep 30, 2025 | -60.94 Mn |
| Jun 30, 2025 | 28.99 Mn |
| Mar 31, 2025 | 32.05 Mn |
| Dec 31, 2024 | 34.61 Mn |
| Sep 30, 2024 | 33.05 Mn |
| Jun 30, 2024 | 34.33 Mn |
| Mar 31, 2024 | 28.66 Mn |
| Dec 31, 2023 | 34.56 Mn |
| Sep 30, 2023 | 29.82 Mn |
| Jun 30, 2023 | 29.36 Mn |
| Mar 31, 2023 | 27.20 Mn |
| Dec 31, 2022 | 30.49 Mn |
| Sep 30, 2022 | 21.42 Mn |
| Jun 30, 2022 | 23.20 Mn |
| Mar 31, 2022 | 21.58 Mn |
| Dec 31, 2021 | 22.17 Mn |
API Access
GeoPark Depreciation and Depletion 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=depreciation-and-depletion&ticker=GPRK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=GPRK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();