OP Bancorp (OPBK) Change in Net Loans (2017 - 2026)
OP Bancorp (OPBK) reported Change in Net Loans of $15.58 million for Q2 2026, up 0.7% from $15.46 million a year earlier but down 61.1% from the prior quarter.
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Analysis
OP Bancorp (OPBK) Change in Net Loans (2017 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, OP Bancorp's Change in Net Loans came in at $166.48 million, down 8.0% year-over-year; for FY2025, it came in at $211.56 million, up 15.3% from FY2024.
- Change in Net Loans has a five-year compound annual growth rate of 14.1% (FY2020 to FY2025).
- By year, Change in Net Loans came in at $183.56 million in FY2024 (+216.8%), $57.93 million in FY2023 (-58.3%), $139 million in FY2022 (+12.9%) and $123.07 million in FY2021 (+12.4%).
- Five-year quarterly Change in Net Loans spans a low of -$148,000 in Q2 2022 and a high of $95.52 million in Q3 2022.
- Year over year, Change in Net Loans gained in four of the last seven quarters, with growth averaging 10.4%.
- The high point for year-over-year Change in Net Loans in five years was Q2 2024 (growth of 290.3%); the low point was Q1 2023 (a decline of 96.7%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $40.02 million (Q1 2026), $17.85 million (Q4 2025) and $93.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | OP Bancorp | 223.90 Mn | -445.47 Mn | - | 15.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.58 Mn |
| Mar 31, 2026 | 40.02 Mn |
| Dec 31, 2025 | 17.85 Mn |
| Sep 30, 2025 | 93.03 Mn |
| Jun 30, 2025 | 15.46 Mn |
| Mar 31, 2025 | 85.22 Mn |
| Dec 31, 2024 | 24.73 Mn |
| Sep 30, 2024 | 55.52 Mn |
| Jun 30, 2024 | 64.81 Mn |
| Mar 31, 2024 | 38.51 Mn |
| Dec 31, 2023 | 685,000.00 |
| Sep 30, 2023 | 39.56 Mn |
| Jun 30, 2023 | 16.61 Mn |
| Mar 31, 2023 | 1.08 Mn |
| Dec 31, 2022 | 11.00 Mn |
| Sep 30, 2022 | 95.52 Mn |
| Jun 30, 2022 | -148,000.00 |
| Mar 31, 2022 | 32.63 Mn |
| Jun 30, 2021 | -1.21 Mn |
| Mar 31, 2021 | 56.04 Mn |
API Access
OP Bancorp Change in Net Loans 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=change-in-net-loans&ticker=OPBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "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=change-in-net-loans&ticker=OPBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();