Old Second Bancorp (OSBC) Return on Sales [ROS] (2009 - 2026)
Old Second Bancorp (OSBC) reported Return on Sales [ROS] of 57.66% for Q2 2026, up 4.14 percentage points from 53.53% a year earlier and up 2.99 percentage points from the prior quarter.
Powered by 
Analysis
Old Second Bancorp (OSBC) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Old Second Bancorp's Return on Sales [ROS] came in at 52.39%, down 2.80 percentage points year-over-year; for FY2025, it was 50.09%, down 9.19 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +11.50 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 59.28% in FY2024 (+1.81 pp), 57.48% in FY2023 (+16.61 pp), 40.87% in FY2022 (+14.16 pp) and 26.71% in FY2021 (-11.88 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -23.79% in Q4 2021 and a high of 63.72% in Q3 2024.
- Year over year, Return on Sales [ROS] has now increased in each of the last three quarters, with an average year-over-year change of -2.99 percentage points over the last eight quarters.
- The high point for year-over-year Return on Sales [ROS] in five years was Q4 2022 (a gain of 72.41 percentage points); the low point was Q4 2021 (a drop of 65.24 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 54.67% (Q1 2026), 61.47% (Q4 2025) and 35.84% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 91.99% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 89.38% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 48.15% |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 95.47% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 138.04% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 139.33% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 84.54% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 51.45% |
| 10 | Old Second Bancorp | 1.24 Bn | 748.21 Mn | - | 58.47% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 58.47% |
| Jun 30, 2026 | 57.66% |
| Mar 31, 2026 | 54.67% |
| Dec 31, 2025 | 61.47% |
| Sep 30, 2025 | 35.84% |
| Jun 30, 2025 | 53.53% |
| Mar 31, 2025 | 50.42% |
| Dec 31, 2024 | 53.37% |
| Sep 30, 2024 | 63.72% |
| Jun 30, 2024 | 60.33% |
| Mar 31, 2024 | 59.89% |
| Dec 31, 2023 | 53.45% |
| Sep 30, 2023 | 59.92% |
| Jun 30, 2023 | 63.06% |
| Mar 31, 2023 | 53.31% |
| Dec 31, 2022 | 48.62% |
| Sep 30, 2022 | 43.27% |
| Jun 30, 2022 | 34.51% |
| Mar 31, 2022 | 33.90% |
| Dec 31, 2021 | -23.79% |
API Access
Old Second 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=OSBC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "OSBC", "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=OSBC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();