OP Bancorp (OPBK) Return on Sales [ROS] (2017 - 2026)
OP Bancorp (OPBK) recorded Return on Sales [ROS] of 113.41% in Q2 2026, up 2.00 percentage points from 111.40% a year earlier but down 0.31 percentage points from the prior quarter.
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Analysis
OP Bancorp (OPBK) Return on Sales [ROS] (2017 - 2026) Analysis & Trends
On a TTM basis, OP Bancorp's Return on Sales [ROS] came in at 113.99% as of Jun 30, 2026, down 2.67 percentage points year-over-year; for FY2025, it was 113.34%, down 9.89 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +66.08 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 123.23% in FY2024 (+18.88 pp), 104.35% in FY2023 (+42.96 pp), 61.38% in FY2022 (+4.55 pp) and 56.84% in FY2021 (+9.58 pp).
- Quarterly Return on Sales [ROS] has ranged from 53.23% in Q2 2022 to 127.11% in Q3 2024 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] rose in four of the last eight quarters, with an average year-over-year change of -1.71 percentage points.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 49.41 percentage points in Q2 2023, against a drop of 14.89 percentage points in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at 113.72% (Q1 2026), 115.09% (Q4 2025) and 113.78% (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 | OP Bancorp | 222.05 Mn | -523.47 Mn | - | 107.49% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 107.49% |
| Jun 30, 2026 | 113.41% |
| Mar 31, 2026 | 113.72% |
| Dec 31, 2025 | 115.09% |
| Sep 30, 2025 | 113.78% |
| Jun 30, 2025 | 111.40% |
| Mar 31, 2025 | 113.00% |
| Dec 31, 2024 | 116.12% |
| Sep 30, 2024 | 127.11% |
| Jun 30, 2024 | 126.29% |
| Mar 31, 2024 | 123.67% |
| Dec 31, 2023 | 114.77% |
| Sep 30, 2023 | 104.92% |
| Jun 30, 2023 | 102.64% |
| Mar 31, 2023 | 96.09% |
| Dec 31, 2022 | 76.02% |
| Sep 30, 2022 | 59.83% |
| Jun 30, 2022 | 53.23% |
| Mar 31, 2022 | 56.53% |
| Dec 31, 2021 | 55.86% |
API Access
OP 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=OPBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "OPBK", "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=OPBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();