German American Bancorp (GABC) EPS (Diluted) (2010 - 2026)
German American Bancorp (GABC) recorded EPS (Diluted) of $1.02 in Q2 2026, up 21.4% from $0.84 a year earlier and up 15.0% from the prior quarter.
German American Bancorp (GABC) EPS (Diluted) (2010 - 2026) Analysis & Trends
On a TTM basis, German American Bancorp's EPS (Diluted) came in at $3.78 as of Jun 30, 2026, up 64.6% year-over-year; for FY2025, it came in at $3.06, up 8.3% from FY2024.
- Annual EPS (Diluted) has a five-year compound annual growth rate of 5.5% (FY2020 to FY2025).
- Across earlier years, EPS (Diluted) came in at $2.83 in FY2024 (-2.7%), $2.91 in FY2023 (+4.6%), $2.78 in FY2022 (-12.4%) and $3.17 in FY2021 (+35.3%).
- The Q2 2026 figure is the highest quarterly EPS (Diluted) in data going back to Q4 2010.
- On a year-over-year basis, EPS (Diluted) has increased for five consecutive quarters, with growth averaging 30.3% over the last eight quarters.
- Peak year-over-year performance for EPS (Diluted) in the last five years was growth of 191.4% in Q1 2026, against a decline of 58.2% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $0.88 (Q1 2026), $0.97 (Q4 2025) and $0.94 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EPS (Diluted) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 5.57 |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 0.91 |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 3.03 |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 3.06 |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 17.01 |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 1.87 |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | German American Bancorp | 1.87 Bn | 1.87 Bn | - | 1.02 |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.02 |
| Mar 31, 2026 | 0.88 |
| Dec 31, 2025 | 0.97 |
| Sep 30, 2025 | 0.94 |
| Jun 30, 2025 | 0.84 |
| Mar 31, 2025 | 0.30 |
| Dec 31, 2024 | 0.78 |
| Sep 30, 2024 | 0.71 |
| Jun 30, 2024 | 0.69 |
| Mar 31, 2024 | 0.64 |
| Dec 31, 2023 | 0.73 |
| Sep 30, 2023 | 0.73 |
| Jun 30, 2023 | 0.75 |
| Mar 31, 2023 | 0.71 |
| Dec 31, 2022 | 0.83 |
| Sep 30, 2022 | 0.83 |
| Jun 30, 2022 | 0.81 |
| Mar 31, 2022 | 0.31 |
| Dec 31, 2021 | 0.73 |
| Sep 30, 2021 | 0.81 |
German American Bancorp EPS (Diluted) 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=eps-diluted&ticker=GABC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "eps-diluted", "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=eps-diluted&ticker=GABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();