OP Bancorp (OPBK) EBITDA Margin (2017 - 2026)
OP Bancorp's EBITDA Margin was 120.21% in Q2 2026, down 0.32 percentage points from 120.53% a year earlier and down 1.93 percentage points from the prior quarter.
Powered by 
Analysis
OP Bancorp (OPBK) EBITDA Margin (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, OP Bancorp's EBITDA Margin was 122.55% through Jun 30, 2026, down 5.25 percentage points year-over-year; for FY2025, it came in at 121.01%, down 12.46 percentage points from FY2024.
- EBITDA Margin shows a five-year change of +68.34 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was 133.46% in FY2024 (+18.39 pp), 115.08% in FY2023 (+47.61 pp), 67.47% in FY2022 (+4.34 pp) and 63.13% in FY2021 (+10.47 pp).
- The Q2 2026 figure marks the lowest quarterly EBITDA Margin since Q3 2023.
- Compared with a year earlier, EBITDA Margin was higher in two of the last eight quarters, with an average year-over-year change of -2.96 percentage points.
- The best year-over-year quarter for EBITDA Margin over five years was Q4 2023 (a gain of 56.72 percentage points); the worst was Q3 2025 (a drop of 20.52 percentage points).
- Per Business Quant data, OPBK's EBITDA Margin in the three quarters before Q2 2026 was 122.14% (Q1 2026), 121.80% (Q4 2025) and 126.18% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 97.78% |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 91.48% |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | 100.96% |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 139.87% |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | 142.21% |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 92.97% |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | - |
| 10 | OP Bancorp | 222.05 Mn | -523.47 Mn | - | 113.65% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 113.65% |
| Jun 30, 2026 | 120.21% |
| Mar 31, 2026 | 122.14% |
| Dec 31, 2025 | 121.80% |
| Sep 30, 2025 | 126.18% |
| Jun 30, 2025 | 118.45% |
| Mar 31, 2025 | 120.72% |
| Dec 31, 2024 | 121.55% |
| Sep 30, 2024 | 144.48% |
| Jun 30, 2024 | 130.24% |
| Mar 31, 2024 | 126.81% |
| Dec 31, 2023 | 134.73% |
| Sep 30, 2023 | 108.10% |
| Jun 30, 2023 | 108.06% |
| Mar 31, 2023 | 97.49% |
| Dec 31, 2022 | 77.40% |
| Sep 30, 2022 | 59.61% |
| Jun 30, 2022 | 58.43% |
| Mar 31, 2022 | 63.79% |
| Dec 31, 2021 | 61.66% |
API Access
OP Bancorp EBITDA Margin 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-margin&ticker=OPBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda-margin", "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-margin&ticker=OPBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();