Old National Bancorp (ONB) Return on Sales [ROS] (2009 - 2026)
Old National Bancorp (ONB) recorded Return on Sales [ROS] of 87.31% in Q2 2026, up 15.34 percentage points from 71.97% a year earlier and up 0.96 percentage points from the prior quarter.
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Analysis
Old National Bancorp (ONB) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a TTM basis, Old National Bancorp's Return on Sales [ROS] came in at 85.11% as of Jun 30, 2026, down 1.25 percentage points year-over-year; for FY2025, it came in at 81.34%, down 11.54 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +42.70 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 92.88% in FY2024 (+13.66 pp), 79.23% in FY2023 (+40.39 pp), 38.84% in FY2022 (-8.18 pp) and 47.01% in FY2021 (+8.38 pp).
- The Q2 2026 figure is the highest quarterly Return on Sales [ROS] since Q1 2025.
- On a year-over-year basis, Return on Sales [ROS] rose in three of the last eight quarters, with an average year-over-year change of -1.49 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 75.02 percentage points in Q1 2023, against a drop of 64.61 percentage points in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at 86.35% (Q1 2026), 85.14% (Q4 2025) and 81.58% (Q3 2025).
Peer Set
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 | Old National Bancorp | 9.55 Bn | 2.01 Bn | - | 87.31% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 87.31% |
| Mar 31, 2026 | 86.35% |
| Dec 31, 2025 | 85.14% |
| Sep 30, 2025 | 81.58% |
| Jun 30, 2025 | 71.97% |
| Mar 31, 2025 | 88.14% |
| Dec 31, 2024 | 92.66% |
| Sep 30, 2024 | 97.41% |
| Jun 30, 2024 | 90.76% |
| Mar 31, 2024 | 90.39% |
| Dec 31, 2023 | 84.83% |
| Sep 30, 2023 | 86.31% |
| Jun 30, 2023 | 78.73% |
| Mar 31, 2023 | 66.83% |
| Dec 31, 2022 | 59.12% |
| Sep 30, 2022 | 45.73% |
| Jun 30, 2022 | 36.76% |
| Mar 31, 2022 | -8.19% |
| Dec 31, 2021 | 39.54% |
| Sep 30, 2021 | 48.46% |
API Access
Old National 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=ONB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "ONB", "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=ONB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();