OP Bancorp (OPBK) Return on Sales [ROS] (2017 - 2026)
OP Bancorp (OPBK) recorded Return on Sales [ROS] of 5663.50% in Q2 2026, up 3068.61 percentage points from 2594.89% a year earlier but down 367.61 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 5214.00% as of Jun 30, 2026, up 2562.98 percentage points year-over-year; for FY2025, it was 3349.16%, up 249.16 percentage points from FY2024.
- Annual Return on Sales [ROS] has a five-year change of +1495.49 percentage points (FY2020 to FY2025).
- Across earlier years, Return on Sales [ROS] came in at 3100.00% in FY2024 (-972.96 pp), 4072.96% in FY2023 (+608.78 pp), 3464.18% in FY2022 (+660.85 pp) and 2803.33% in FY2021 (+949.66 pp).
- Quarterly Return on Sales [ROS] has ranged from 2512.50% in Q1 2025 to 6048.48% in Q4 2025 over the past five years.
- On a year-over-year basis, Return on Sales [ROS] has increased for four consecutive quarters, with an average year-over-year change of +831.16 percentage points over the last eight quarters.
- Peak year-over-year performance for Return on Sales [ROS] in the last five years was a gain of 3518.60 percentage points in Q1 2026, against a drop of 1538.94 percentage points in Q4 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at 6031.10% (Q1 2026), 6048.48% (Q4 2025) and 3841.10% (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 | OP Bancorp | 231.07 Mn | -438.30 Mn | - | 5,663.50% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 5,663.50% |
| Mar 31, 2026 | 6,031.10% |
| Dec 31, 2025 | 6,048.48% |
| Sep 30, 2025 | 3,841.10% |
| Jun 30, 2025 | 2,594.89% |
| Mar 31, 2025 | 2,512.50% |
| Dec 31, 2024 | 2,563.39% |
| Sep 30, 2024 | 2,966.37% |
| Jun 30, 2024 | 3,245.27% |
| Mar 31, 2024 | 3,953.76% |
| Dec 31, 2023 | 4,102.33% |
| Sep 30, 2023 | 3,633.57% |
| Jun 30, 2023 | 3,735.95% |
| Mar 31, 2023 | 5,100.24% |
| Dec 31, 2022 | 4,385.47% |
| Sep 30, 2022 | 3,316.08% |
| Jun 30, 2022 | 3,046.37% |
| Mar 31, 2022 | 3,133.25% |
| Dec 31, 2021 | 3,363.46% |
| Sep 30, 2021 | 2,998.04% |
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();