OP Bancorp (OPBK) EBITDA Margin (2017 - 2026)
OP Bancorp's EBITDA Margin was 6003.11% in Q2 2026, up 3195.63 percentage points from 2807.47% a year earlier but down 474.43 percentage points from the prior quarter.
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Analysis
OP Bancorp (OPBK) EBITDA Margin (2017 - 2026) Analysis & Trends
On a trailing twelve-month basis, OP Bancorp's EBITDA Margin was 5605.87% through Jun 30, 2026, up 2701.55 percentage points year-over-year; for FY2025, it came in at 3575.87%, up 218.41 percentage points from FY2024.
- EBITDA Margin shows a five-year change of +1509.91 percentage points (FY2020 to FY2025).
- In earlier years, EBITDA Margin was 3357.47% in FY2024 (-1134.34 pp), 4491.80% in FY2023 (+684.22 pp), 3807.58% in FY2022 (+693.75 pp) and 3113.83% in FY2021 (+1047.86 pp).
- Quarterly EBITDA Margin has moved between 2707.20% (Q1 2025) and 6477.54% (Q1 2026) over five years.
- Compared with a year earlier, EBITDA Margin has increased for four straight quarters, with an average year-over-year change of +840.74 percentage points over the last eight quarters.
- The best year-over-year quarter for EBITDA Margin over five years was Q1 2026 (a gain of 3770.34 percentage points); the worst was Q4 2024 (a drop of 2198.20 percentage points).
- Per Business Quant data, OPBK's EBITDA Margin in the three quarters before Q2 2026 was 6477.54% (Q1 2026), 6401.52% (Q4 2025) and 4260.00% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 95.81% |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 95.10% |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 101.52% |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 142.03% |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 133.57% |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 92.35% |
| 10 | OP Bancorp | 223.90 Mn | -445.47 Mn | - | 6,003.11% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6,003.11% |
| Mar 31, 2026 | 6,477.54% |
| Dec 31, 2025 | 6,401.52% |
| Sep 30, 2025 | 4,260.00% |
| Jun 30, 2025 | 2,807.47% |
| Mar 31, 2025 | 2,707.20% |
| Dec 31, 2024 | 2,732.68% |
| Sep 30, 2024 | 3,423.51% |
| Jun 30, 2024 | 3,426.86% |
| Mar 31, 2024 | 4,158.82% |
| Dec 31, 2023 | 4,930.88% |
| Sep 30, 2023 | 3,899.65% |
| Jun 30, 2023 | 3,989.35% |
| Mar 31, 2023 | 5,410.05% |
| Dec 31, 2022 | 4,685.96% |
| Sep 30, 2022 | 3,609.69% |
| Jun 30, 2022 | 3,344.03% |
| Mar 31, 2022 | 3,535.57% |
| Dec 31, 2021 | 3,712.35% |
| Sep 30, 2021 | 3,335.21% |
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();