OP Bancorp (OPBK) Net Margin (2017 - 2026)
OP Bancorp's Net Margin was 1549.13% in Q2 2026, up 926.41 percentage points from 622.71% a year earlier but down 13.29 percentage points from the prior quarter.
OP Bancorp (OPBK) Net Margin (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, OP Bancorp's Net Margin was 1337.37% through Jun 30, 2026, up 761.59 percentage points year-over-year; for FY2025, it was 800.09%, up 154.00 percentage points from FY2024.
- Net Margin shows a five-year change of -103.61 percentage points (FY2020 to FY2025).
- In earlier years, Net Margin was 646.09% in FY2024 (-480.52 pp), 1126.61% in FY2023 (-862.04 pp), 1988.66% in FY2022 (+142.31 pp) and 1846.35% in FY2021 (+942.65 pp).
- Quarterly Net Margin has moved between 514.06% (Q4 2024) and 2255.31% (Q4 2021) over five years.
- Compared with a year earlier, Net Margin has increased for four straight quarters, with an average year-over-year change of +275.14 percentage points over the last eight quarters.
- The best year-over-year quarter for Net Margin over five years was Q4 2021 (a gain of 1229.22 percentage points); the worst was Q4 2023 (a drop of 1048.79 percentage points).
- Per Business Quant data, OPBK's Net Margin in the three quarters before Q2 2026 was 1562.42% (Q1 2026), 1523.59% (Q4 2025) and 924.55% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Net Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 36.19% |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 27.72% |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 25.46% |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 32.50% |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 31.46% |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 27.23% |
| 10 | OP Bancorp | 223.90 Mn | -445.47 Mn | - | 1,549.13% |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1,549.13% |
| Mar 31, 2026 | 1,562.42% |
| Dec 31, 2025 | 1,523.59% |
| Sep 30, 2025 | 924.55% |
| Jun 30, 2025 | 622.71% |
| Mar 31, 2025 | 556.00% |
| Dec 31, 2024 | 514.06% |
| Sep 30, 2024 | 611.47% |
| Jun 30, 2024 | 685.50% |
| Mar 31, 2024 | 853.92% |
| Dec 31, 2023 | 928.55% |
| Sep 30, 2023 | 890.61% |
| Jun 30, 2023 | 1,063.00% |
| Mar 31, 2023 | 1,802.39% |
| Dec 31, 2022 | 1,977.34% |
| Sep 30, 2022 | 1,905.29% |
| Jun 30, 2022 | 1,985.95% |
| Mar 31, 2022 | 2,101.03% |
| Dec 31, 2021 | 2,255.31% |
| Sep 30, 2021 | 2,017.11% |
OP Bancorp Net Margin 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=net-margin&ticker=OPBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "net-margin", "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=net-margin&ticker=OPBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();