Gran Tierra Energy (GTE) Shares Outstanding (2009 - 2026)
Gran Tierra Energy (GTE) posted Weighted Average Shares Outstanding of 35.38 million for Q3 2026, up 0.3% from 35.29 million a year earlier and unchanged from the prior quarter.
Gran Tierra Energy (GTE) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Gran Tierra Energy's Weighted Average Shares Outstanding came in at 35.44 million, up 10.6% from FY2024.
- Annual Weighted Average Shares Outstanding shows a five-year compound annual growth rate of -0.7% (FY2020 to FY2025).
- In prior years, Gran Tierra Energy's Weighted Average Shares Outstanding was 32.04 million in FY2024 (-4.3%), 33.47 million in FY2023 (-8.2%), 36.45 million in FY2022 (-0.7%) and 36.7 million in FY2021 (unchanged).
- Quarterly Weighted Average Shares Outstanding has run from a low of 30.73 million in Q3 2024 to a high of 36.86 million in Q2 2022 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding increased in six of the last eight quarters, with growth averaging 5.7%.
- The strongest year-over-year quarter for Weighted Average Shares Outstanding in the past five years was Q3 2025, with growth of 14.8%; the weakest was Q2 2023, with a decline of 9.7%.
- According to Business Quant data, Weighted Average Shares Outstanding for the three prior quarters was 35.37 million (Q2 2026), 35.3 million (Q1 2026) and 35.44 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | ExxonMobil Holdings | 696.20 Bn | 661.07 Bn | 47.44 Bn | 4.14 Bn |
| 2 | Shell | 563.81 Bn | 425.16 Bn | - | 5.89 Bn |
| 3 | Chevron | 432.14 Bn | 404.83 Bn | 31.26 Bn | 1.96 Bn |
| 4 | TotalEnergies SE | 200.31 Bn | 75.66 Bn | 31.61 Bn | 2.19 Bn |
| 5 | Eni Spa | 181.16 Bn | 124.34 Bn | - | 3.02 Bn |
| 6 | Conocophillips | 168.32 Bn | 137.35 Bn | 12.63 Bn | 1.20 Bn |
| 7 | Equinor Asa | 107.41 Bn | 20.34 Bn | 4.49 Bn | 2.59 Bn |
| 8 | Canadian Natural Resources | 103.54 Bn | 97.44 Bn | 9.35 Bn | 2.09 Bn |
| 9 | Phillips 66 | 103.32 Bn | 88.28 Bn | 10.69 Bn | 397.01 Mn |
| 10 | Gran Tierra Energy | 335.77 Mn | -139.71 Mn | 104.12 Mn | 35.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 35.38 Mn |
| Jun 30, 2026 | 35.37 Mn |
| Mar 31, 2026 | 35.30 Mn |
| Dec 31, 2025 | 35.44 Mn |
| Sep 30, 2025 | 35.29 Mn |
| Jun 30, 2025 | 35.33 Mn |
| Mar 31, 2025 | 35.78 Mn |
| Dec 31, 2024 | 32.04 Mn |
| Sep 30, 2024 | 30.73 Mn |
| Jun 30, 2024 | 31.28 Mn |
| Mar 31, 2024 | 31.81 Mn |
| Dec 31, 2023 | 33.47 Mn |
| Sep 30, 2023 | 33.29 Mn |
| Jun 30, 2023 | 33.30 Mn |
| Mar 31, 2023 | 34.45 Mn |
| Dec 31, 2022 | 36.45 Mn |
| Sep 30, 2022 | 36.73 Mn |
| Jun 30, 2022 | 36.86 Mn |
| Mar 31, 2022 | 36.74 Mn |
| Dec 31, 2021 | 36.70 Mn |
Gran Tierra Energy Shares Outstanding 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=shares-outstanding&ticker=GTE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=GTE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();