Origin Bancorp (OBK) Return on Sales [ROS] (2017 - 2026)
Origin Bancorp's Return on Sales [ROS] was 709.17% in Q2 2026, up 95.08 percentage points from 614.08% a year earlier and up 163.88 percentage points from the prior quarter.
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Analysis
Origin Bancorp (OBK) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, Origin Bancorp's Return on Sales [ROS] was 638.49% through Jun 30, 2026, down 70.07 percentage points year-over-year; for FY2025, it came in at 647.05%, down 142.65 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +330.39 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 789.70% in FY2024 (+38.34 pp), 751.36% in FY2023 (+359.71 pp), 391.65% in FY2022 (-169.10 pp) and 560.75% in FY2021 (+244.10 pp).
- Quarterly Return on Sales [ROS] has moved between 303.63% (Q1 2022) and 826.03% (Q3 2023) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in three of the last eight quarters, with an average year-over-year change of -74.95 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2023 (a gain of 520.48 percentage points); the worst was Q2 2022 (a drop of 276.81 percentage points).
- Per Business Quant data, OBK's Return on Sales [ROS] in the three quarters before Q2 2026 was 545.29% (Q1 2026), 778.19% (Q4 2025) and 548.46% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 881.30 Bn | 881.30 Bn | - | 91.77% |
| 2 | Bank Of America | 354.90 Bn | -2,021.17 Bn | - | 93.16% |
| 3 | Hsbc Holdings | 311.39 Bn | -1,517.77 Bn | - | 46.36% |
| 4 | Morgan Stanley | 282.15 Bn | -226.95 Bn | - | 95.89% |
| 5 | Royal Bank Of Canada | 281.68 Bn | -548.32 Bn | - | 138.04% |
| 6 | Goldman Sachs | 255.22 Bn | -3,301.89 Bn | - | 131.07% |
| 7 | Mitsubishi Ufj Financial | 249.82 Bn | -82.42 Bn | 10.89 Bn | 51.45% |
| 8 | Wells Fargo & Company | 249.49 Bn | 251.62 Bn | - | 84.05% |
| 9 | Toronto Dominion Bank | 210.53 Bn | -465.35 Bn | - | 6.25% |
| 10 | Origin Bancorp | 1.62 Bn | -640.55 Mn | - | 80.52% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 80.52% |
| Mar 31, 2026 | 76.25% |
| Dec 31, 2025 | 82.57% |
| Sep 30, 2025 | 57.74% |
| Jun 30, 2025 | 85.22% |
| Mar 31, 2025 | 87.85% |
| Dec 31, 2024 | 101.87% |
| Sep 30, 2024 | 102.57% |
| Jun 30, 2024 | 98.22% |
| Mar 31, 2024 | 104.04% |
| Dec 31, 2023 | 98.59% |
| Sep 30, 2023 | 99.07% |
| Jun 30, 2023 | 93.21% |
| Mar 31, 2023 | 78.66% |
| Dec 31, 2022 | 64.01% |
| Sep 30, 2022 | 34.45% |
| Jun 30, 2022 | 43.95% |
| Mar 31, 2022 | 46.40% |
| Dec 31, 2021 | 55.21% |
| Sep 30, 2021 | 57.59% |
API Access
Origin 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=OBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "OBK", "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=OBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();