OP Bancorp (OPBK) Enterprise Value (2016 - 2026)
OP Bancorp (OPBK) posted Enterprise Value of $223.9 million for Q3 2026, up 453.4% from $40.46 million a year earlier and up 359.7% from the prior quarter.
OP Bancorp (OPBK) Enterprise Value (2016 - 2026) Analysis & Trends
For FY2025, OP Bancorp's Enterprise Value came in at $42.93 million, down 56.8% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of 35.7% (FY2020 to FY2025).
- In prior years, OP Bancorp's Enterprise Value was $99.36 million in FY2024 (+36.0%), $73.04 million in FY2023 (-16.6%), $87.63 million in FY2022 (+12.8%) and $77.7 million in FY2021 (+733.8%).
- The Q3 2026 figure stands as the highest quarterly Enterprise Value in data going back to Q1 2017.
- On a year-over-year basis, Enterprise Value increased in three of the last four quarters, with growth averaging 139.1%.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q4 2021, with growth of 733.8%; the weakest was Q4 2025, with a decline of 56.8%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $48.7 million (Q2 2026), $37.83 million (Q1 2026) and $42.93 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn |
| 10 | OP Bancorp | 222.05 Mn | -523.47 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | -18.91 Mn |
| Jun 30, 2026 | 48.70 Mn |
| Mar 31, 2026 | 37.83 Mn |
| Dec 31, 2025 | 42.93 Mn |
| Sep 30, 2025 | 40.46 Mn |
| Jun 30, 2025 | -12.02 Mn |
| Mar 31, 2025 | -19.59 Mn |
| Dec 31, 2024 | 99.36 Mn |
| Sep 30, 2024 | 18.09 Mn |
| Jun 30, 2024 | 14.41 Mn |
| Mar 31, 2024 | 10.28 Mn |
| Dec 31, 2023 | 73.04 Mn |
| Sep 30, 2023 | 33.98 Mn |
| Jun 30, 2023 | -15.03 Mn |
| Mar 31, 2023 | -45.45 Mn |
| Dec 31, 2022 | 87.63 Mn |
| Sep 30, 2022 | 61.74 Mn |
| Jun 30, 2022 | 26.64 Mn |
| Mar 31, 2022 | 79.68 Mn |
| Dec 31, 2021 | 77.70 Mn |
OP Bancorp Enterprise Value 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=enterprise-value&ticker=OPBK&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=OPBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();