OP Bancorp (OPBK) Interest Expenses (2017 - 2026)
OP Bancorp's Interest Expenses came in at $18.13 million for Q2 2026, up 1.0% from $17.94 million a year earlier and up 0.6% from the prior quarter.
OP Bancorp (OPBK) Interest Expenses (2017 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, OP Bancorp reported Interest Expenses of $72.73 million, up 0.6% year-over-year; for FY2025, it was $71.98 million, unchanged from FY2024.
- Interest Expenses carries a five-year compound annual growth rate of 54.1% (FY2020 to FY2025).
- Going back by year, Interest Expenses was $72.01 million in FY2024 (+35.9%), $52.98 million in FY2023 (+368.8%), $11.3 million in FY2022 (+260.8%) and $3.13 million in FY2021 (-62.2%).
- The five-year range for quarterly Interest Expenses is $654,000 (Q1 2022) to $18.79 million (Q3 2024).
- Year-over-year, Interest Expenses has increased for three consecutive quarters, with growth averaging 7.1% over the last eight quarters.
- The fastest year-over-year change in Interest Expenses over five years came in Q4 2022 (growth of 821.2%), and the weakest in Q3 2021 (a decline of 52.0%).
- Business Quant data shows OPBK's Interest Expenses at $18.01 million (Q1 2026), $18.42 million (Q4 2025) and $18.18 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 10.97 Bn |
| 10 | OP Bancorp | 223.90 Mn | -445.47 Mn | - | 18.13 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 18.13 Mn |
| Mar 31, 2026 | 18.01 Mn |
| Dec 31, 2025 | 18.42 Mn |
| Sep 30, 2025 | 18.18 Mn |
| Jun 30, 2025 | 17.94 Mn |
| Mar 31, 2025 | 17.44 Mn |
| Dec 31, 2024 | 18.12 Mn |
| Sep 30, 2024 | 18.79 Mn |
| Jun 30, 2024 | 18.16 Mn |
| Mar 31, 2024 | 16.93 Mn |
| Dec 31, 2023 | 15.55 Mn |
| Sep 30, 2023 | 13.87 Mn |
| Jun 30, 2023 | 12.85 Mn |
| Mar 31, 2023 | 10.70 Mn |
| Dec 31, 2022 | 6.69 Mn |
| Sep 30, 2022 | 2.89 Mn |
| Jun 30, 2022 | 1.07 Mn |
| Mar 31, 2022 | 654,000.00 |
| Dec 31, 2021 | 726,000.00 |
| Sep 30, 2021 | 766,000.00 |
OP Bancorp Interest Expenses 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=interest-expenses&ticker=OPBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=OPBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();