German American Bancorp, Inc. (GABC) Loans - Net (2012 - 2026)
German American Bancorp's Loans - Net came in at $5.85 billion for Q2 2026, up 3.3% from $5.66 billion a year earlier and up 1.4% from the prior quarter.
German American Bancorp, Inc. (GABC) Loans - Net (2012 - 2026) Analysis & Trends
At the end of FY2025, German American Bancorp's Loans - Net was $5.8 billion, up 42.1% from FY2024.
- Loans - Net has increased in each of the last four years, with a five-year compound annual growth rate of 13.8% (FY2020 to FY2025).
- Going back by year, Loans - Net was $4.08 billion in FY2024 (+3.9%), $3.93 billion in FY2023 (+5.0%), $3.74 billion in FY2022 (+26.1%) and $2.97 billion in FY2021 (-2.4%).
- The Q2 2026 figure represents the highest quarterly Loans - Net in data going back to Q4 2012.
- Year-over-year, Loans - Net has increased for 18 consecutive quarters, with growth averaging 22.9% over the last eight quarters.
- The fastest year-over-year change in Loans - Net over five years came in Q4 2025 (growth of 42.1%), and the weakest in Q3 2021 (a decline of 6.4%).
- Business Quant data shows GABC's Loans - Net at $5.77 billion (Q1 2026), $5.8 billion (Q4 2025) and $5.7 billion (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5.85 Bn |
| Mar 31, 2026 | 5.77 Bn |
| Dec 31, 2025 | 5.80 Bn |
| Sep 30, 2025 | 5.70 Bn |
| Jun 30, 2025 | 5.66 Bn |
| Mar 31, 2025 | 5.57 Bn |
| Dec 31, 2024 | 4.08 Bn |
| Sep 30, 2024 | 4.02 Bn |
| Jun 30, 2024 | 3.99 Bn |
| Mar 31, 2024 | 3.93 Bn |
| Dec 31, 2023 | 3.93 Bn |
| Sep 30, 2023 | 3.84 Bn |
| Jun 30, 2023 | 3.78 Bn |
| Mar 31, 2023 | 3.72 Bn |
| Dec 31, 2022 | 3.74 Bn |
| Sep 30, 2022 | 3.64 Bn |
| Jun 30, 2022 | 3.60 Bn |
| Mar 31, 2022 | 3.61 Bn |
| Dec 31, 2021 | 2.97 Bn |
| Sep 30, 2021 | 2.97 Bn |
German American Bancorp, Inc. Loans - Net 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=loans-net&ticker=GABC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "loans-net", "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=loans-net&ticker=GABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();