German American Bancorp (GABC) Other Operating Expenses (2010 - 2026)
German American Bancorp (GABC) reported Other Operating Expenses of $7.02 million for Q2 2026, up 1.2% from $6.94 million a year earlier but down 4.8% from the prior quarter.
Powered by 
Analysis
German American Bancorp (GABC) Other Operating Expenses (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, German American Bancorp's Other Operating Expenses came in at $28.96 million, up 24.2% year-over-year; for FY2025, it came in at $27.48 million, up 38.0% from FY2024.
- Other Operating Expenses has a five-year compound annual growth rate of 11.1% (FY2020 to FY2025).
- By year, Other Operating Expenses came in at $19.91 million in FY2024 (+1.7%), $19.57 million in FY2023 (-16.5%), $23.44 million in FY2022 (+19.3%) and $19.64 million in FY2021 (+21.0%).
- Five-year quarterly Other Operating Expenses spans a low of $4.6 million in Q2 2024 and a high of $8.55 million in Q1 2022.
- Year over year, Other Operating Expenses has now increased in each of the last eight quarters, with growth averaging 24.4% over the last eight quarters.
- The high point for year-over-year Other Operating Expenses in five years was Q1 2022 (growth of 97.5%); the low point was Q1 2023 (a decline of 42.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $7.37 million (Q1 2026), $6.77 million (Q4 2025) and $7.79 million (Q3 2025).
Peer Set
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 | German American Bancorp | 1.82 Bn | 1.82 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 7.02 Mn |
| Mar 31, 2026 | 7.37 Mn |
| Dec 31, 2025 | 6.77 Mn |
| Sep 30, 2025 | 7.79 Mn |
| Jun 30, 2025 | 6.94 Mn |
| Mar 31, 2025 | 5.98 Mn |
| Dec 31, 2024 | 5.12 Mn |
| Sep 30, 2024 | 5.28 Mn |
| Jun 30, 2024 | 4.60 Mn |
| Mar 31, 2024 | 4.91 Mn |
| Dec 31, 2023 | 4.78 Mn |
| Sep 30, 2023 | 4.77 Mn |
| Jun 30, 2023 | 5.08 Mn |
| Mar 31, 2023 | 4.94 Mn |
| Dec 31, 2022 | 5.04 Mn |
| Sep 30, 2022 | 4.79 Mn |
| Jun 30, 2022 | 5.06 Mn |
| Mar 31, 2022 | 8.55 Mn |
| Dec 31, 2021 | 5.10 Mn |
| Sep 30, 2021 | 6.41 Mn |
API Access
German American Bancorp 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=GABC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "ticker": "GABC", "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=GABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();