Kolibri Global Energy (KGEI) Operating Expenses (2022 - 2026)
Kolibri Global Energy (KGEI) reported Operating Expenses of $3.38 million for the quarter ended Jun 30, 2026, up 94.3% from $1.74 million a year earlier and up 15.1% from the prior quarter.
Kolibri Global Energy (KGEI) Operating Expenses (2022 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Kolibri Global Energy's Operating Expenses came in at $11.59 million, up 47.8% year-over-year; for the year ended Dec 31, 2025, it came in at $9.24 million, up 12.3% from the prior year.
- Operating Expenses has increased for three consecutive years, with a three-year compound annual growth rate of 23.5% (years ended Dec 2022 to Dec 2025).
- By year, Operating Expenses came in at $8.23 million in the year ended Dec 31, 2024 (+39.7%), $5.9 million in the year ended Dec 31, 2023 (+20.2%) and $4.9 million in the year ended Dec 31, 2022.
- The figure for the quarter ended Jun 30, 2026 ranks as the highest quarterly Operating Expenses in data going back to the quarter ended Sep 30, 2022.
- Year over year, Operating Expenses has now increased in each of the last four quarters, with growth averaging 29.2% over the last eight quarters.
- The high point for year-over-year Operating Expenses in five years was the quarter ended Jun 30, 2026 (growth of 94.3%); the low point was the quarter ended Jun 30, 2025 (a decline of 17.6%).
- Per Business Quant data, the three quarters before the quarter ended Jun 30, 2026 came in at $2.93 million (quarter ended Mar 31, 2026), $2.78 million (quarter ended Dec 31, 2025) and $2.5 million (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Shell | 540.77 Bn | 451.32 Bn | 30.13 Bn | 3.19 Bn |
| 2 | Chevron | 403.83 Bn | 381.62 Bn | 33.45 Bn | 53.37 Bn |
| 3 | TotalEnergies SE | 188.75 Bn | 71.88 Bn | - | 46.44 Bn |
| 4 | Eni Spa | 170.81 Bn | 120.33 Bn | - | - |
| 5 | Conocophillips | 150.42 Bn | 123.13 Bn | 12.81 Bn | 2.43 Bn |
| 6 | Equinor Asa | 104.06 Bn | 50.12 Bn | - | -22.18 Bn |
| 7 | Phillips 66 | 101.90 Bn | 90.89 Bn | 8.38 Bn | 47.07 Bn |
| 8 | Canadian Natural Resources | 97.96 Bn | 94.91 Bn | - | 114.95 Mn |
| 9 | Suncor Energy | 80.99 Bn | 66.79 Bn | - | 17.00 Mn |
| 10 | Kolibri Global Energy | 219.22 Mn | 209.14 Mn | - | 3.38 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.38 Mn |
| Mar 31, 2026 | 2.93 Mn |
| Dec 31, 2025 | 2.78 Mn |
| Sep 30, 2025 | 2.50 Mn |
| Jun 30, 2025 | 1.74 Mn |
| Mar 31, 2025 | 2.23 Mn |
| Dec 31, 2024 | 2.35 Mn |
| Sep 30, 2024 | 1.52 Mn |
| Jun 30, 2024 | 2.11 Mn |
| Mar 31, 2024 | 2.25 Mn |
| Dec 31, 2023 | 1.57 Mn |
| Sep 30, 2023 | 1.63 Mn |
| Jun 30, 2023 | 1.15 Mn |
| Mar 31, 2023 | 1.55 Mn |
| Dec 31, 2022 | 1.42 Mn |
| Sep 30, 2022 | 1.22 Mn |
Kolibri Global 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=KGEI&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "KGEI", "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=KGEI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();