OP Bancorp (OPBK) Total Liabilities (2017 - 2026)
OP Bancorp (OPBK) posted Total Liabilities of $2.51 billion for Q2 2026, up 6.6% from $2.35 billion a year earlier and up 1.6% from the prior quarter.
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Analysis
OP Bancorp (OPBK) Total Liabilities (2017 - 2026) Analysis & Trends
At the end of FY2025, OP Bancorp's Total Liabilities came in at $2.42 billion, up 12.1% from FY2024.
- Annual Total Liabilities has increased for eight consecutive years, with a five-year compound annual growth rate of 14.6% (FY2020 to FY2025).
- In prior years, OP Bancorp's Total Liabilities was $2.16 billion in FY2024 (+10.5%), $1.96 billion in FY2023 (+2.0%), $1.92 billion in FY2022 (+22.8%) and $1.56 billion in FY2021 (+27.6%).
- The Q2 2026 figure stands as the highest quarterly Total Liabilities in data going back to Q4 2017.
- On a year-over-year basis, Total Liabilities has increased in each of the last 31 quarters, with growth averaging 10.3% over the last eight quarters.
- Across the past five years, year-over-year growth in Total Liabilities ran from 2.0% in Q4 2023 to 29.8% in Q1 2022.
- According to Business Quant data, Total Liabilities for the three prior quarters was $2.47 billion (Q1 2026), $2.42 billion (Q4 2025) and $2.39 billion (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 4,640.47 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 62,410.98 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 3,198.10 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 413.71 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1,557.62 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1,688.09 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 2,612.60 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 2,004.97 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 2,099.88 Bn |
| 10 | OP Bancorp | 223.90 Mn | -445.47 Mn | - | 2.51 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 2.51 Bn |
| Mar 31, 2026 | 2.47 Bn |
| Dec 31, 2025 | 2.42 Bn |
| Sep 30, 2025 | 2.39 Bn |
| Jun 30, 2025 | 2.35 Bn |
| Mar 31, 2025 | 2.30 Bn |
| Dec 31, 2024 | 2.16 Bn |
| Sep 30, 2024 | 2.18 Bn |
| Jun 30, 2024 | 2.09 Bn |
| Mar 31, 2024 | 2.04 Bn |
| Dec 31, 2023 | 1.96 Bn |
| Sep 30, 2023 | 1.96 Bn |
| Jun 30, 2023 | 1.97 Bn |
| Mar 31, 2023 | 1.99 Bn |
| Dec 31, 2022 | 1.92 Bn |
| Sep 30, 2022 | 1.86 Bn |
| Jun 30, 2022 | 1.76 Bn |
| Mar 31, 2022 | 1.70 Bn |
| Dec 31, 2021 | 1.56 Bn |
| Sep 30, 2021 | 1.52 Bn |
API Access
OP Bancorp Total Liabilities 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=total-liabilities&ticker=OPBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=OPBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();