OP Bancorp (OPBK) Non Operating Interest Expenses (2017 - 2024)
OP Bancorp (OPBK) reported Non Operating Interest Expenses of $16.93 million for Q1 2024, up 58.2% from $10.7 million a year earlier and up 8.9% from the prior quarter.
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Analysis
OP Bancorp (OPBK) Non Operating Interest Expenses (2017 - 2024) Analysis & Trends
Over the twelve months ended Mar 31, 2024, OP Bancorp's Non Operating Interest Expenses came in at $59.21 million, up 177.3% year-over-year; for FY2023, it was $52.98 million, up 368.8% from FY2022.
- Non Operating Interest Expenses has a five-year compound annual growth rate of 42.2% (FY2018 to FY2023).
- By year, Non Operating Interest Expenses came in at $11.3 million in FY2022 (+260.8%), $3.13 million in FY2021 (-62.2%), $8.29 million in FY2020 (-42.8%) and $14.51 million in FY2019 (+59.2%).
- The Q1 2024 figure ranks as the highest quarterly Non Operating Interest Expenses in data going back to Q1 2017.
- Year over year, Non Operating Interest Expenses has now increased in each of the last three quarters, with growth averaging 284.9% over the last six quarters.
- The high point for year-over-year Non Operating Interest Expenses in five years was Q4 2022 (growth of 821.2%); the low point was Q1 2021 (a decline of 72.8%).
- Per Business Quant data, the three quarters before Q1 2024 came in at $15.55 million (Q4 2023), $13.87 million (Q3 2023) and $12.85 million (Q2 2023).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 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 | - | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 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 | - | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | OP Bancorp | 223.90 Mn | -445.47 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| 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 |
| Jun 30, 2021 | 763,000.00 |
| Mar 31, 2021 | 877,000.00 |
| Dec 31, 2020 | 1.19 Mn |
| Sep 30, 2020 | 1.60 Mn |
| Jun 30, 2020 | 2.27 Mn |
| Mar 31, 2020 | 3.23 Mn |
| Dec 31, 2019 | 3.63 Mn |
| Sep 30, 2019 | 3.89 Mn |
| Jun 30, 2019 | 3.70 Mn |
API Access
OP Bancorp Non Operating 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=non-operating-interest-expenses&ticker=OPBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-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=non-operating-interest-expenses&ticker=OPBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();