OP Bancorp (OPBK) Enterprise Value (2017 - 2026)
OP Bancorp (OPBK) posted Enterprise Value of $48.7 million for Q2 2026, compared with -$12.02 million a year earlier and up 28.7% from the prior quarter.
OP Bancorp (OPBK) Enterprise Value (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Enterprise Value at OP Bancorp was -$445.62 million; for FY2025, it 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 Q2 2026 figure stands as the highest quarterly Enterprise Value since Q4 2024.
- On a year-over-year basis, Enterprise Value increased in two of the last four quarters, with growth averaging 14.0%.
- 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 $37.83 million (Q1 2026), $42.93 million (Q4 2025) and $40.46 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 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 | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | OP Bancorp | 226.74 Mn | -442.63 Mn | - |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | -32.27 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();