Gran Tierra Energy (GTE) Operating Expenses (2009 - 2026)
Gran Tierra Energy (GTE) recorded Operating Expenses of $143.96 million in Q2 2026, down 8.9% from $158.04 million a year earlier and down 54.9% from the prior quarter.
Gran Tierra Energy (GTE) Operating Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Gran Tierra Energy's Operating Expenses came in at $955.9 million as of Jun 30, 2026, up 48.3% year-over-year; for FY2025, it came in at $834.88 million, up 43.4% from FY2024.
- Annual Operating Expenses has increased for four straight years, though with a five-year compound annual growth rate of -5.2% (FY2020 to FY2025).
- Across earlier years, Operating Expenses came in at $582.39 million in FY2024 (+9.8%), $530.48 million in FY2023 (+13.0%), $469.49 million in FY2022 (+4.2%) and $450.54 million in FY2021 (-58.7%).
- The Q2 2026 figure is the lowest quarterly Operating Expenses since Q3 2024.
- On a year-over-year basis, Operating Expenses rose in six of the last eight quarters, with growth averaging 31.2%.
- Peak year-over-year performance for Operating Expenses in the last five years was growth of 80.8% in Q4 2025, against a decline of 49.7% in Q3 2021 at the low end.
- Per Business Quant, the preceding three quarters came in at $319.37 million (Q1 2026), $310.89 million (Q4 2025) and $181.68 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 548.90 Bn | 459.45 Bn | 30.13 Bn | 3.19 Bn |
| 2 | Chevron | 407.58 Bn | 385.38 Bn | 33.45 Bn | 53.37 Bn |
| 3 | TotalEnergies SE | 199.37 Bn | 82.49 Bn | - | 46.44 Bn |
| 4 | Eni Spa | 174.90 Bn | 124.42 Bn | - | - |
| 5 | Conocophillips | 151.32 Bn | 124.03 Bn | 12.81 Bn | 2.43 Bn |
| 6 | Equinor Asa | 105.71 Bn | 51.77 Bn | - | -22.18 Bn |
| 7 | Phillips 66 | 101.18 Bn | 90.17 Bn | 8.38 Bn | 47.07 Bn |
| 8 | Canadian Natural Resources | 99.04 Bn | 95.99 Bn | - | 114.95 Mn |
| 9 | Suncor Energy | 82.08 Bn | 67.87 Bn | - | 17.00 Mn |
| 10 | Gran Tierra Energy | 342.48 Mn | -41.02 Mn | - | 143.96 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 143.96 Mn |
| Mar 31, 2026 | 319.37 Mn |
| Dec 31, 2025 | 310.89 Mn |
| Sep 30, 2025 | 181.68 Mn |
| Jun 30, 2025 | 158.04 Mn |
| Mar 31, 2025 | 184.27 Mn |
| Dec 31, 2024 | 171.95 Mn |
| Sep 30, 2024 | 130.16 Mn |
| Jun 30, 2024 | 139.33 Mn |
| Mar 31, 2024 | 140.95 Mn |
| Dec 31, 2023 | 139.73 Mn |
| Sep 30, 2023 | 133.33 Mn |
| Jun 30, 2023 | 135.64 Mn |
| Mar 31, 2023 | 121.78 Mn |
| Dec 31, 2022 | 126.44 Mn |
| Sep 30, 2022 | 108.00 Mn |
| Jun 30, 2022 | 114.15 Mn |
| Mar 31, 2022 | 120.91 Mn |
| Dec 31, 2021 | 129.86 Mn |
| Sep 30, 2021 | 91.36 Mn |
Gran Tierra Energy Operating Expenses 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-expenses&ticker=GTE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "GTE", "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-expenses&ticker=GTE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();