Agi (AGBK) Other Operating Expenses (2024 - 2026)
Agi (AGBK) posted Other Operating Expenses of -$170.2 million for the quarter ended Jun 30, 2026, compared with -$116.97 million a year earlier.
Agi (AGBK) Other Operating Expenses (2024 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Other Operating Expenses at Agi was -$579.35 million; for the year ended Dec 31, 2025, it came in at -$7.35 million.
- In prior years, Agi's Other Operating Expenses was -$9.9 million in the year ended Dec 31, 2024 and -$2.35 million in the year ended Dec 31, 2023.
- Quarterly Other Operating Expenses has run from a low of -$248.15 million in the quarter ended Mar 31, 2026 to a high of -$109,696 in the quarter ended Dec 31, 2024 over five years.
- According to Business Quant data, Other Operating Expenses for the three prior quarters was -$248.15 million (quarter ended Mar 31, 2026), -$160.87 million (quarter ended Dec 31, 2025) and -$139,010 (quarter ended Sep 30, 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Agi | 4.89 Bn | -22.69 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | -170.20 Mn |
| Mar 31, 2026 | -248.15 Mn |
| Dec 31, 2025 | -160.87 Mn |
| Sep 30, 2025 | -139,009.97 |
| Jun 30, 2025 | -116.97 Mn |
| Mar 31, 2025 | -109.87 Mn |
| Dec 31, 2024 | -109,695.62 |
Agi Other 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=other-operating-expenses&ticker=AGBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "AGBK", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=other-operating-expenses&ticker=AGBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();