German American Bancorp (GABC) Rent Expense (2010 - 2026)
German American Bancorp (GABC) posted Rent Expense of $5.18 million for Q2 2026, up 9.0% from $4.75 million a year earlier but down 3.0% from the prior quarter.
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Analysis
German American Bancorp (GABC) Rent Expense (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Rent Expense at German American Bancorp was $20.73 million, up 21.5% year-over-year; for FY2025, it came in at $19.63 million, up 31.4% from FY2024.
- Annual Rent Expense shows a five-year compound annual growth rate of 14.4% (FY2020 to FY2025).
- In prior years, German American Bancorp's Rent Expense was $14.94 million in FY2024 (+3.3%), $14.47 million in FY2023 (-3.0%), $14.92 million in FY2022 (+34.7%) and $11.08 million in FY2021 (+10.4%).
- Quarterly Rent Expense has run from a low of $2.35 million in Q4 2021 to a high of $6.48 million in Q4 2022 over five years.
- On a year-over-year basis, Rent Expense has increased in each of the last six quarters, with growth averaging 18.5% over the last eight quarters.
- The strongest year-over-year quarter for Rent Expense in the past five years was Q4 2022, with growth of 176.0%; the weakest was Q4 2024, with a decline of 39.1%.
- According to Business Quant data, Rent Expense for the three prior quarters was $5.34 million (Q1 2026), $4.97 million (Q4 2025) and $5.26 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 1.48 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.91 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 482.00 Mn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 316.29 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 244.00 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 803.00 Mn |
| 10 | German American Bancorp | 1.82 Bn | 1.82 Bn | - | 5.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.18 Mn |
| Mar 31, 2026 | 5.34 Mn |
| Dec 31, 2025 | 4.97 Mn |
| Sep 30, 2025 | 5.26 Mn |
| Jun 30, 2025 | 4.75 Mn |
| Mar 31, 2025 | 4.66 Mn |
| Dec 31, 2024 | 3.77 Mn |
| Sep 30, 2024 | 3.88 Mn |
| Jun 30, 2024 | 3.49 Mn |
| Mar 31, 2024 | 3.80 Mn |
| Dec 31, 2023 | 6.20 Mn |
| Sep 30, 2023 | 2.81 Mn |
| Jun 30, 2023 | 2.55 Mn |
| Mar 31, 2023 | 2.91 Mn |
| Dec 31, 2022 | 6.48 Mn |
| Sep 30, 2022 | 2.76 Mn |
| Jun 30, 2022 | 2.80 Mn |
| Mar 31, 2022 | 2.88 Mn |
| Dec 31, 2021 | 2.35 Mn |
| Sep 30, 2021 | 2.53 Mn |
API Access
German American Bancorp Rent Expense 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=rent-expense&ticker=GABC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "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=rent-expense&ticker=GABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();