OP Bancorp (OPBK) EBITDA (2017 - 2026)
OP Bancorp's EBITDA was $30.92 million in Q2 2026, up 8.3% from $28.55 million a year earlier and up 3.1% from the prior quarter.
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Analysis
OP Bancorp (OPBK) EBITDA (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, OP Bancorp's EBITDA was $121.37 million through Jun 30, 2026, up 7.9% year-over-year; for FY2025, it was $114.57 million, up 4.6% from FY2024.
- EBITDA has now increased for five consecutive years, with a five-year compound annual growth rate of 31.1% (FY2020 to FY2025).
- In earlier years, EBITDA was $109.49 million in FY2024 (+14.8%), $95.36 million in FY2023 (+49.5%), $63.78 million in FY2022 (+31.1%) and $48.64 million in FY2021 (+64.5%).
- The Q2 2026 figure marks the highest quarterly EBITDA in data going back to Q1 2017.
- Compared with a year earlier, EBITDA has increased for six straight quarters, with growth averaging 9.5% over the last eight quarters.
- The best year-over-year quarter for EBITDA over five years was Q4 2021 (growth of 102.5%); the worst was Q4 2024 (a decline of 3.8%).
- Per Business Quant data, OPBK's EBITDA in the three quarters before Q2 2026 was $29.99 million (Q1 2026), $29.58 million (Q4 2025) and $30.89 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - | 18.88 Bn |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - | 20.89 Bn |
| 10 | OP Bancorp | 226.74 Mn | -442.63 Mn | - | 30.92 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.92 Mn |
| Mar 31, 2026 | 29.99 Mn |
| Dec 31, 2025 | 29.58 Mn |
| Sep 30, 2025 | 30.89 Mn |
| Jun 30, 2025 | 28.55 Mn |
| Mar 31, 2025 | 27.07 Mn |
| Dec 31, 2024 | 26.43 Mn |
| Sep 30, 2024 | 30.44 Mn |
| Jun 30, 2024 | 27.18 Mn |
| Mar 31, 2024 | 25.45 Mn |
| Dec 31, 2023 | 27.47 Mn |
| Sep 30, 2023 | 22.42 Mn |
| Jun 30, 2023 | 22.86 Mn |
| Mar 31, 2023 | 22.61 Mn |
| Dec 31, 2022 | 19.03 Mn |
| Sep 30, 2022 | 16.39 Mn |
| Jun 30, 2022 | 14.28 Mn |
| Mar 31, 2022 | 13.72 Mn |
| Dec 31, 2021 | 15.04 Mn |
| Sep 30, 2021 | 13.64 Mn |
API Access
OP Bancorp EBITDA 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=ebitda&ticker=OPBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=OPBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();