Abundia Global Impact (AGIG) Operating Expenses (2011 - 2026)
Abundia Global Impact's Operating Expenses was $3.97 million in Q2 2026, up 151.5% from $1.58 million a year earlier but down 24.7% from the prior quarter.
Abundia Global Impact (AGIG) Operating Expenses (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Abundia Global Impact's Operating Expenses was $35.71 million through Jun 30, 2026, up 322.1% year-over-year; for FY2025, it came in at $29.16 million, up 262.3% from FY2024.
- Operating Expenses has now increased for four consecutive years, with a five-year compound annual growth rate of 43.8% (FY2020 to FY2025).
- In earlier years, Operating Expenses was $8.05 million in FY2024 (+49.8%), $5.37 million in FY2023 (+122.4%), $2.42 million in FY2022 (+2.2%) and $2.36 million in FY2021 (-50.1%).
- Quarterly Operating Expenses has moved between $460,882 (Q2 2022) and $20.35 million (Q3 2025) over five years.
- Compared with a year earlier, Operating Expenses has increased for three straight quarters, with growth averaging 119.8% over the last seven quarters.
- The best year-over-year quarter for Operating Expenses over five years was Q4 2023 (growth of 552.8%); the worst was Q4 2021 (a decline of 74.1%).
- Per Business Quant data, AGIG's Operating Expenses in the three quarters before Q2 2026 was $5.27 million (Q1 2026), $6.12 million (Q4 2025) and $20.35 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 | Abundia Global Impact | 54.75 Mn | 21.18 Mn | 601,569.00 | 3.97 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 3.97 Mn |
| Mar 31, 2026 | 5.27 Mn |
| Dec 31, 2025 | 6.12 Mn |
| Sep 30, 2025 | 20.35 Mn |
| Jun 30, 2025 | 1.58 Mn |
| Mar 31, 2025 | 1.60 Mn |
| Dec 31, 2024 | 4.73 Mn |
| Sep 30, 2024 | 544,723.00 |
| Jun 30, 2024 | 526,057.00 |
| Mar 31, 2024 | 555,815.00 |
| Dec 31, 2023 | 3.51 Mn |
| Sep 30, 2023 | 515,678.00 |
| Jun 30, 2023 | 863,270.00 |
| Mar 31, 2023 | 490,460.00 |
| Dec 31, 2022 | 536,944.00 |
| Sep 30, 2022 | 829,324.00 |
| Jun 30, 2022 | 460,882.00 |
| Mar 31, 2022 | 589,611.00 |
| Dec 31, 2021 | 764,710.00 |
| Sep 30, 2021 | 642,218.00 |
Abundia Global Impact 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=AGIG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "ticker": "AGIG", "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=AGIG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();