German American Bancorp (GABC) Return on Sales [ROS] (2010 - 2026)
German American Bancorp (GABC) reported Return on Sales [ROS] of 615.79% for Q2 2026, down 26.00 percentage points from 641.78% a year earlier but up 5.44 percentage points from the prior quarter.
German American Bancorp (GABC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, German American Bancorp's Return on Sales [ROS] came in at 612.24%, up 68.08 percentage points year-over-year; for FY2025, it was 578.40%, up 77.12 percentage points from FY2024.
- Return on Sales [ROS] has increased for five consecutive years, with a five-year change of +324.92 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 501.28% in FY2024 (+37.04 pp), 464.24% in FY2023 (+130.56 pp), 333.68% in FY2022 (+74.28 pp) and 259.40% in FY2021 (+5.92 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of 90.14% in Q1 2022 and a high of 641.78% in Q2 2025.
- Year over year, Return on Sales [ROS] gained in six of the last eight quarters, with an average year-over-year change of +88.00 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q1 2024 (a gain of 244.86 percentage points); the low point was Q1 2022 (a drop of 157.56 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 610.34% (Q1 2026), 637.53% (Q4 2025) and 587.75% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 883.45 Bn | 912.92 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 401.52 Bn | 521.46 Bn | - | - |
| 3 | Bank Of America | 377.43 Bn | -1,998.64 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 330.31 Bn | 330.37 Bn | - | - |
| 5 | Morgan Stanley | 299.17 Bn | -209.92 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 274.08 Bn | 124.82 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 270.70 Bn | -1,317.79 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 263.13 Bn | -3,293.98 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.64 Bn | 245.78 Bn | - | 84.05% |
| 10 | German American Bancorp | 1.86 Bn | 1.86 Bn | - | 615.79% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 615.79% |
| Mar 31, 2026 | 610.34% |
| Dec 31, 2025 | 637.53% |
| Sep 30, 2025 | 587.75% |
| Jun 30, 2025 | 641.78% |
| Mar 31, 2025 | 426.71% |
| Dec 31, 2024 | 553.28% |
| Sep 30, 2024 | 543.27% |
| Jun 30, 2024 | 412.17% |
| Mar 31, 2024 | 526.14% |
| Dec 31, 2023 | 464.25% |
| Sep 30, 2023 | 344.89% |
| Jun 30, 2023 | 332.89% |
| Mar 31, 2023 | 281.27% |
| Dec 31, 2022 | 333.68% |
| Sep 30, 2022 | 289.16% |
| Jun 30, 2022 | 246.55% |
| Mar 31, 2022 | 90.14% |
| Dec 31, 2021 | 222.63% |
| Sep 30, 2021 | 265.30% |
German American Bancorp Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=GABC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=GABC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();