Old Second Bancorp (OSBC) Return on Sales [ROS] (2010 - 2026)
Old Second Bancorp (OSBC) reported Return on Sales [ROS] of 759.55% for Q2 2026, up 161.00 percentage points from 598.56% a year earlier and up 40.23 percentage points from the prior quarter.
Powered by 
Analysis
Old Second Bancorp (OSBC) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Old Second Bancorp's Return on Sales [ROS] came in at 703.34%, up 78.35 percentage points year-over-year; for FY2025, it was 635.09%, down 73.53 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of +342.08 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 708.62% in FY2024 (-42.01 pp), 750.63% in FY2023 (+285.72 pp), 464.91% in FY2022 (+263.55 pp) and 201.36% in FY2021 (-91.64 pp).
- Five-year quarterly Return on Sales [ROS] spans a low of -192.39% in Q4 2021 and a high of 840.95% in Q4 2025.
- 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 -15.53 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 840.09 percentage points); the low point was Q4 2021 (a drop of 503.89 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 719.32% (Q1 2026), 840.95% (Q4 2025) and 491.25% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 886.05 Bn | 915.53 Bn | - | 91.77% |
| 2 | Banco Santander Chile | 409.93 Bn | 529.88 Bn | - | - |
| 3 | Bank Of America | 377.01 Bn | -1,999.06 Bn | - | 93.16% |
| 4 | Hsbc Holdings | 329.11 Bn | 329.16 Bn | - | - |
| 5 | Morgan Stanley | 295.54 Bn | -213.55 Bn | - | 95.89% |
| 6 | Royal Bank Of Canada | 273.59 Bn | 124.33 Bn | - | 138.04% |
| 7 | Mitsubishi Ufj Financial | 268.33 Bn | -1,320.16 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 261.29 Bn | -3,295.82 Bn | - | 131.07% |
| 9 | Wells Fargo & Company | 243.13 Bn | 245.26 Bn | - | 84.05% |
| 10 | Old Second Bancorp | 1.25 Bn | 755.02 Mn | - | 759.55% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 759.55% |
| Mar 31, 2026 | 719.32% |
| Dec 31, 2025 | 840.95% |
| Sep 30, 2025 | 491.25% |
| Jun 30, 2025 | 598.56% |
| Mar 31, 2025 | 556.98% |
| Dec 31, 2024 | 599.28% |
| Sep 30, 2024 | 757.90% |
| Jun 30, 2024 | 728.44% |
| Mar 31, 2024 | 763.33% |
| Dec 31, 2023 | 658.43% |
| Sep 30, 2023 | 785.10% |
| Jun 30, 2023 | 839.28% |
| Mar 31, 2023 | 722.83% |
| Dec 31, 2022 | 647.70% |
| Sep 30, 2022 | 524.13% |
| Jun 30, 2022 | 344.15% |
| Mar 31, 2022 | 341.47% |
| Dec 31, 2021 | -192.39% |
| Sep 30, 2021 | 296.62% |
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();