German American Bancorp (GABC) Property, Plant & Equipment (Net) (2012 - 2026)
German American Bancorp (GABC) reported Property, Plant & Equipment (Net) of $137.6 million for Q2 2026, down 1.3% from $139.44 million a year earlier but up 0.2% from the prior quarter.
German American Bancorp (GABC) Property, Plant & Equipment (Net) (2012 - 2026) Analysis & Trends
At the end of FY2025, German American Bancorp posted Property, Plant & Equipment (Net) of $139 million, up 33.6% from FY2024.
- Property, Plant & Equipment (Net) has a five-year compound annual growth rate of 7.6% (FY2020 to FY2025).
- By year, Property, Plant & Equipment (Net) came in at $104.05 million in FY2024 (-2.6%), $106.78 million in FY2023 (-4.9%), $112.24 million in FY2022 (+26.3%) and $88.86 million in FY2021 (-8.0%).
- Five-year quarterly Property, Plant & Equipment (Net) spans a low of $88.86 million in Q4 2021 and a high of $141.39 million in Q1 2025.
- Year over year, Property, Plant & Equipment (Net) gained in four of the last eight quarters, with growth averaging 14.9%.
- The high point for year-over-year Property, Plant & Equipment (Net) in five years was Q4 2025 (growth of 33.6%); the low point was Q4 2021 (a decline of 8.0%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $137.31 million (Q1 2026), $139 million (Q4 2025) and $139.85 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | PP&E (Net) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 37.70 Bn |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | 29.00 Bn |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 12.79 Bn |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | - |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 4.98 Bn |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | 8.96 Bn |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | - |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 11.63 Bn |
| 10 | German American Bancorp | 1.86 Bn | 1.86 Bn | - | 137.60 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 137.60 Mn |
| Mar 31, 2026 | 137.31 Mn |
| Dec 31, 2025 | 139.00 Mn |
| Sep 30, 2025 | 139.85 Mn |
| Jun 30, 2025 | 139.44 Mn |
| Mar 31, 2025 | 141.39 Mn |
| Dec 31, 2024 | 104.05 Mn |
| Sep 30, 2024 | 105.42 Mn |
| Jun 30, 2024 | 105.65 Mn |
| Mar 31, 2024 | 106.03 Mn |
| Dec 31, 2023 | 106.78 Mn |
| Sep 30, 2023 | 111.25 Mn |
| Jun 30, 2023 | 112.63 Mn |
| Mar 31, 2023 | 112.23 Mn |
| Dec 31, 2022 | 112.24 Mn |
| Sep 30, 2022 | 111.10 Mn |
| Jun 30, 2022 | 111.34 Mn |
| Mar 31, 2022 | 111.82 Mn |
| Dec 31, 2021 | 88.86 Mn |
| Sep 30, 2021 | 89.65 Mn |
German American Bancorp Property, Plant & Equipment (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=property-plant-and-equipment-net&ticker=GABC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "property-plant-and-equipment-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=property-plant-and-equipment-net&ticker=GABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();