OP Bancorp (OPBK) Long-Term Debt Repayments (2020 - 2026)
OP Bancorp's Long-Term Debt Repayments was $15 million in Q2 2026, down 80.0% from $75 million a year earlier and down 40.0% from the prior quarter.
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Analysis
OP Bancorp (OPBK) Long-Term Debt Repayments (2020 - 2026) Analysis & Trends
On a trailing twelve-month basis, OP Bancorp's Long-Term Debt Repayments was $90 million through Jun 30, 2026, down 5.3% year-over-year; for FY2025, it was $145 million, up 383.3% from FY2024.
- Long-Term Debt Repayments shows a five-year compound annual growth rate of 96.1% (FY2020 to FY2025).
- In earlier years, Long-Term Debt Repayments was $30 million in FY2024 and $5 million in FY2021 (unchanged).
- The Q2 2026 figure marks the lowest quarterly Long-Term Debt Repayments since Q4 2020.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | LT Debt Repayment (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 28.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 27.22 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 26.48 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -120.49 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 20.41 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 12.00 Bn |
| 10 | OP Bancorp | 223.90 Mn | -445.47 Mn | - | 15.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.00 Mn |
| Mar 31, 2026 | 25.00 Mn |
| Sep 30, 2025 | 50.00 Mn |
| Jun 30, 2025 | 75.00 Mn |
| Mar 31, 2025 | 20.00 Mn |
| Mar 31, 2024 | 30.00 Mn |
| Dec 31, 2020 | 5.00 Mn |
API Access
OP Bancorp Long-Term Debt Repayments 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=long-term-debt-repayments&ticker=OPBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-debt-repayments", "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=long-term-debt-repayments&ticker=OPBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();