German American Bancorp, Inc. (GABC) Assets (2010 - 2026)
German American Bancorp (GABC) reported Assets of $8.44 billion for Q2 2026, up 1.9% from $8.28 billion a year earlier and up 0.7% from the prior quarter.
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Analysis
German American Bancorp, Inc. (GABC) Assets (2010 - 2026) Analysis & Trends
At the end of FY2025, German American Bancorp posted Assets of $8.39 billion, up 33.2% from FY2024.
- Assets has a five-year compound annual growth rate of 11.0% (FY2020 to FY2025).
- By year, Assets came in at $6.3 billion in FY2024 (+2.3%), $6.15 billion in FY2023 (-0.1%), $6.16 billion in FY2022 (+9.8%) and $5.61 billion in FY2021 (+12.7%).
- The Q2 2026 figure ranks as the highest quarterly Assets in data going back to Q4 2010.
- Year over year, Assets gained in seven of the last eight quarters, with growth averaging 18.3%.
- The high point for year-over-year Assets in five years was Q1 2025 (growth of 37.8%); the low point was Q1 2023 (a decline of 10.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $8.38 billion (Q1 2026), $8.39 billion (Q4 2025) and $8.4 billion (Q3 2025).
Peer Set
Peer Comparison
Historic Data
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Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 8.44 Bn |
| Mar 31, 2026 | 8.38 Bn |
| Dec 31, 2025 | 8.39 Bn |
| Sep 30, 2025 | 8.40 Bn |
| Jun 30, 2025 | 8.28 Bn |
| Mar 31, 2025 | 8.42 Bn |
| Dec 31, 2024 | 6.30 Bn |
| Sep 30, 2024 | 6.26 Bn |
| Jun 30, 2024 | 6.22 Bn |
| Mar 31, 2024 | 6.11 Bn |
| Dec 31, 2023 | 6.15 Bn |
| Sep 30, 2023 | 6.01 Bn |
| Jun 30, 2023 | 6.05 Bn |
| Mar 31, 2023 | 6.00 Bn |
| Dec 31, 2022 | 6.16 Bn |
| Sep 30, 2022 | 6.26 Bn |
| Jun 30, 2022 | 6.47 Bn |
| Mar 31, 2022 | 6.70 Bn |
| Dec 31, 2021 | 5.61 Bn |
| Sep 30, 2021 | 5.48 Bn |
API Access
German American Bancorp, Inc. Assets 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=assets&ticker=GABC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "assets", "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=assets&ticker=GABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();