German American Bancorp (GABC) Retained Earnings (2011 - 2026)
German American Bancorp (GABC) recorded Retained Earnings of $631.1 million in Q2 2026, up 18.2% from $533.83 million a year earlier and up 4.4% from the prior quarter.
German American Bancorp (GABC) Retained Earnings (2011 - 2026) Analysis & Trends
At the end of FY2025, German American Bancorp reported Retained Earnings of $582.95 million, up 13.5% from FY2024.
- Annual Retained Earnings has increased for 14 straight years, with a five-year compound annual growth rate of 15.1% (FY2020 to FY2025).
- Across earlier years, Retained Earnings came in at $513.59 million in FY2024 (+11.3%), $461.62 million in FY2023 (+13.9%), $405.17 million in FY2022 (+15.6%) and $350.36 million in FY2021 (+21.5%).
- The Q2 2026 figure is the highest quarterly Retained Earnings in data going back to Q4 2011.
- On a year-over-year basis, Retained Earnings has increased for 49 consecutive quarters, with growth averaging 12.8% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 8.6% (Q1 2025) and 23.5% (Q3 2021) over the last five years.
- Per Business Quant, the preceding three quarters came in at $604.52 million (Q1 2026), $582.95 million (Q4 2025) and $558.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 237.23 Bn |
| 10 | German American Bancorp | 1.82 Bn | 1.82 Bn | - | 631.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 631.10 Mn |
| Mar 31, 2026 | 604.52 Mn |
| Dec 31, 2025 | 582.95 Mn |
| Sep 30, 2025 | 558.09 Mn |
| Jun 30, 2025 | 533.83 Mn |
| Mar 31, 2025 | 513.29 Mn |
| Dec 31, 2024 | 513.59 Mn |
| Sep 30, 2024 | 498.34 Mn |
| Jun 30, 2024 | 485.26 Mn |
| Mar 31, 2024 | 472.69 Mn |
| Dec 31, 2023 | 461.62 Mn |
| Sep 30, 2023 | 447.48 Mn |
| Jun 30, 2023 | 433.38 Mn |
| Mar 31, 2023 | 418.62 Mn |
| Dec 31, 2022 | 405.17 Mn |
| Sep 30, 2022 | 387.51 Mn |
| Jun 30, 2022 | 369.67 Mn |
| Mar 31, 2022 | 352.68 Mn |
| Dec 31, 2021 | 350.36 Mn |
| Sep 30, 2021 | 336.65 Mn |
German American Bancorp Retained Earnings 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=retained-earnings&ticker=GABC&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=GABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();