German American Bancorp (GABC) Intangibles (2012 - 2026)
German American Bancorp (GABC) posted Intangibles of $28.89 million for Q2 2026, down 26.3% from $39.18 million a year earlier and down 7.7% from the prior quarter.
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Analysis
German American Bancorp (GABC) Intangibles (2012 - 2026) Analysis & Trends
At the end of FY2025, German American Bancorp's Intangibles came in at $33.79 million, up 741.0% from FY2024.
- Annual Intangibles shows a five-year compound annual growth rate of 30.3% (FY2020 to FY2025).
- In prior years, German American Bancorp's Intangibles was $4.02 million in FY2024 (-36.3%), $6.31 million in FY2023 (-33.1%), $9.43 million in FY2022 (+61.3%) and $5.85 million in FY2021 (-34.9%).
- The Q2 2026 figure stands as the lowest quarterly Intangibles since Q4 2024.
- On a year-over-year basis, Intangibles increased in four of the last eight quarters, with growth averaging 329.5%.
- The strongest year-over-year quarter for Intangibles in the past five years was Q4 2025, with growth of 741.0%; the weakest was Q4 2024, with a decline of 36.3%.
- According to Business Quant data, Intangibles for the three prior quarters was $31.29 million (Q1 2026), $33.79 million (Q4 2025) and $36.42 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Intangibles (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 91.48 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 | - | 5.87 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 5.26 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 | - | 28.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.89 Mn |
| Mar 31, 2026 | 31.29 Mn |
| Dec 31, 2025 | 33.79 Mn |
| Sep 30, 2025 | 36.42 Mn |
| Jun 30, 2025 | 39.18 Mn |
| Mar 31, 2025 | 41.96 Mn |
| Dec 31, 2024 | 4.02 Mn |
| Sep 30, 2024 | 4.52 Mn |
| Jun 30, 2024 | 5.07 Mn |
| Mar 31, 2024 | 5.67 Mn |
| Dec 31, 2023 | 6.31 Mn |
| Sep 30, 2023 | 7.02 Mn |
| Jun 30, 2023 | 7.77 Mn |
| Mar 31, 2023 | 8.57 Mn |
| Dec 31, 2022 | 9.43 Mn |
| Sep 30, 2022 | 10.34 Mn |
| Jun 30, 2022 | 11.30 Mn |
| Mar 31, 2022 | 12.33 Mn |
| Dec 31, 2021 | 5.85 Mn |
| Sep 30, 2021 | 6.51 Mn |
API Access
German American Bancorp Intangibles 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=intangibles&ticker=GABC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "intangibles", "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=intangibles&ticker=GABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();