German American Bancorp (GABC) Cash from Operations (2012 - 2026)
German American Bancorp (GABC) posted Cash from Operations of $58.11 million for Q2 2026, up 115.9% from $26.92 million a year earlier and up 56.9% from the prior quarter.
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Analysis
German American Bancorp (GABC) Cash from Operations (2012 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Cash from Operations at German American Bancorp was $189.63 million, up 60.6% year-over-year; for FY2025, it came in at $159.32 million, up 66.4% from FY2024.
- Annual Cash from Operations shows a five-year compound annual growth rate of 11.5% (FY2020 to FY2025).
- In prior years, German American Bancorp's Cash from Operations was $95.76 million in FY2024 (-10.7%), $107.23 million in FY2023 (-2.5%), $110.04 million in FY2022 (+9.1%) and $100.84 million in FY2021 (+9.1%).
- The Q2 2026 figure stands as the highest quarterly Cash from Operations in data going back to Q3 2012.
- On a year-over-year basis, Cash from Operations increased in six of the last eight quarters, with growth averaging 46.7%.
- The strongest year-over-year quarter for Cash from Operations in the past five years was Q2 2023, with growth of 437.1%; the weakest was Q2 2022, with a decline of 78.4%.
- According to Business Quant data, Cash from Operations for the three prior quarters was $37.04 million (Q1 2026), $42.67 million (Q4 2025) and $51.8 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | -25.28 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 29.04 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | -2.75 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 25.17 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 | - | 6.11 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 6.78 Bn |
| 10 | German American Bancorp | 1.82 Bn | 1.82 Bn | - | 58.11 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 58.11 Mn |
| Mar 31, 2026 | 37.04 Mn |
| Dec 31, 2025 | 42.67 Mn |
| Sep 30, 2025 | 51.80 Mn |
| Jun 30, 2025 | 26.92 Mn |
| Mar 31, 2025 | 37.93 Mn |
| Dec 31, 2024 | 28.69 Mn |
| Sep 30, 2024 | 24.51 Mn |
| Jun 30, 2024 | 18.71 Mn |
| Mar 31, 2024 | 23.85 Mn |
| Dec 31, 2023 | 29.58 Mn |
| Sep 30, 2023 | 24.42 Mn |
| Jun 30, 2023 | 21.78 Mn |
| Mar 31, 2023 | 31.47 Mn |
| Dec 31, 2022 | 27.54 Mn |
| Sep 30, 2022 | 32.17 Mn |
| Jun 30, 2022 | 4.05 Mn |
| Mar 31, 2022 | 46.27 Mn |
| Dec 31, 2021 | 26.91 Mn |
| Sep 30, 2021 | 28.51 Mn |
API Access
German American Bancorp Cash from Operations 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=cash-from-operations&ticker=GABC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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=cash-from-operations&ticker=GABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();