German American Bancorp (GABC) Tax Provisions (2010 - 2026)
German American Bancorp's Tax Provisions came in at $9.9 million for Q2 2026, up 26.8% from $7.81 million a year earlier and up 15.7% from the prior quarter.
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Analysis
German American Bancorp (GABC) Tax Provisions (2010 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, German American Bancorp reported Tax Provisions of $35.27 million, up 70.5% year-over-year; for FY2025, it was $27.44 million, up 35.2% from FY2024.
- Tax Provisions has increased in each of the last three years, with a five-year compound annual growth rate of 16.4% (FY2020 to FY2025).
- Going back by year, Tax Provisions was $20.29 million in FY2024 (+14.2%), $17.76 million in FY2023 (+2.4%), $17.35 million in FY2022 (-7.0%) and $18.65 million in FY2021 (+45.3%).
- The Q2 2026 figure represents the highest quarterly Tax Provisions in data going back to Q2 2010.
- Year-over-year, Tax Provisions has increased for five consecutive quarters, with growth averaging 50.4% over the last eight quarters.
- The fastest year-over-year change in Tax Provisions over five years came in Q1 2023 (growth of 565.6%), and the weakest in Q1 2022 (a decline of 85.6%).
- Business Quant data shows GABC's Tax Provisions at $8.56 million (Q1 2026), $8.13 million (Q4 2025) and $8.68 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 1.40 Bn |
| 10 | German American Bancorp | 1.82 Bn | 1.82 Bn | - | 9.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 9.90 Mn |
| Mar 31, 2026 | 8.56 Mn |
| Dec 31, 2025 | 8.13 Mn |
| Sep 30, 2025 | 8.68 Mn |
| Jun 30, 2025 | 7.81 Mn |
| Mar 31, 2025 | 2.81 Mn |
| Dec 31, 2024 | 5.47 Mn |
| Sep 30, 2024 | 4.60 Mn |
| Jun 30, 2024 | 6.07 Mn |
| Mar 31, 2024 | 4.16 Mn |
| Dec 31, 2023 | 3.96 Mn |
| Sep 30, 2023 | 4.59 Mn |
| Jun 30, 2023 | 4.76 Mn |
| Mar 31, 2023 | 4.45 Mn |
| Dec 31, 2022 | 5.52 Mn |
| Sep 30, 2022 | 6.13 Mn |
| Jun 30, 2022 | 5.03 Mn |
| Mar 31, 2022 | 669,000.00 |
| Dec 31, 2021 | 3.16 Mn |
| Sep 30, 2021 | 4.91 Mn |
API Access
German American Bancorp Tax Provisions 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=tax-provisions&ticker=GABC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=GABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();