German American Bancorp (GABC) Shares Outstanding (2010 - 2026)
German American Bancorp's Shares Outstanding was 37.56 million in Q2 2026, up 0.2% from 37.48 million a year earlier and up 0.1% from the prior quarter.
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Analysis
German American Bancorp (GABC) Shares Outstanding (2010 - 2026) Analysis & Trends
For FY2025, Shares Outstanding at German American Bancorp came in at 36.8 million, up 24.1% from FY2024.
- Shares Outstanding has now increased for four consecutive years, with a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In earlier years, Shares Outstanding was 29.66 million in FY2024 (+0.3%), 29.56 million in FY2023 (+0.3%), 29.46 million in FY2022 (+11.0%) and 26.54 million in FY2021 (unchanged).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding in data going back to Q4 2010.
- Compared with a year earlier, Shares Outstanding has increased for 18 straight quarters, with growth averaging 12.9% over the last eight quarters.
- Over the past five years, the year-over-year growth in Shares Outstanding ranged from 0.0% (Q4 2021) to 26.3% (Q2 2025).
- Per Business Quant data, GABC's Shares Outstanding in the three quarters before Q2 2026 was 37.52 million (Q1 2026), 36.8 million (Q4 2025) and 37.49 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.15 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.49 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.55 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 300.10 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.04 Bn |
| 10 | German American Bancorp | 1.82 Bn | 1.82 Bn | - | 37.56 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 37.56 Mn |
| Mar 31, 2026 | 37.52 Mn |
| Dec 31, 2025 | 36.80 Mn |
| Sep 30, 2025 | 37.49 Mn |
| Jun 30, 2025 | 37.48 Mn |
| Mar 31, 2025 | 34.68 Mn |
| Dec 31, 2024 | 29.66 Mn |
| Sep 30, 2024 | 29.68 Mn |
| Jun 30, 2024 | 29.67 Mn |
| Mar 31, 2024 | 29.60 Mn |
| Dec 31, 2023 | 29.56 Mn |
| Sep 30, 2023 | 29.57 Mn |
| Jun 30, 2023 | 29.57 Mn |
| Mar 31, 2023 | 29.51 Mn |
| Dec 31, 2022 | 29.46 Mn |
| Sep 30, 2022 | 29.48 Mn |
| Jun 30, 2022 | 29.48 Mn |
| Mar 31, 2022 | 29.40 Mn |
| Dec 31, 2021 | 26.54 Mn |
| Sep 30, 2021 | 26.55 Mn |
API Access
German American Bancorp Shares Outstanding 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=shares-outstanding&ticker=GABC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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=shares-outstanding&ticker=GABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();