OP Bancorp (OPBK) Retained Earnings (2017 - 2026)
OP Bancorp's Retained Earnings was $164.62 million in Q2 2026, up 15.0% from $143.11 million a year earlier and up 3.7% from the prior quarter.
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Analysis
OP Bancorp (OPBK) Retained Earnings (2017 - 2026) Analysis & Trends
At the end of FY2025, Retained Earnings at OP Bancorp came in at $153.28 million, up 13.7% from FY2024.
- Retained Earnings has now increased for eight consecutive years, with a five-year compound annual growth rate of 22.6% (FY2020 to FY2025).
- In earlier years, Retained Earnings was $134.78 million in FY2024 (+11.5%), $120.86 million in FY2023 (+14.3%), $105.69 million in FY2022 (+33.7%) and $79.06 million in FY2021 (+42.8%).
- The Q2 2026 figure marks the highest quarterly Retained Earnings in data going back to Q4 2017.
- Compared with a year earlier, Retained Earnings has increased for 31 straight quarters, with growth averaging 12.8% over the last eight quarters.
- The year-over-year growth in Retained Earnings has ranged between 11.5% (Q1 2025) and 44.3% (Q1 2022) over the last five years.
- Per Business Quant data, OPBK's Retained Earnings in the three quarters before Q2 2026 was $158.73 million (Q1 2026), $153.28 million (Q4 2025) and $148.03 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Retained Earnings (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 445.02 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 661.60 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 274.52 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 21.39 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 122.77 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 74.21 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 102.78 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 174.35 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 237.23 Bn |
| 10 | OP Bancorp | 223.90 Mn | -445.47 Mn | - | 164.62 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 164.62 Mn |
| Mar 31, 2026 | 158.73 Mn |
| Dec 31, 2025 | 153.28 Mn |
| Sep 30, 2025 | 148.03 Mn |
| Jun 30, 2025 | 143.11 Mn |
| Mar 31, 2025 | 138.56 Mn |
| Dec 31, 2024 | 134.78 Mn |
| Sep 30, 2024 | 131.59 Mn |
| Jun 30, 2024 | 127.93 Mn |
| Mar 31, 2024 | 124.28 Mn |
| Dec 31, 2023 | 120.86 Mn |
| Sep 30, 2023 | 117.48 Mn |
| Jun 30, 2023 | 114.18 Mn |
| Mar 31, 2023 | 109.91 Mn |
| Dec 31, 2022 | 105.69 Mn |
| Sep 30, 2022 | 99.49 Mn |
| Jun 30, 2022 | 92.66 Mn |
| Mar 31, 2022 | 85.69 Mn |
| Dec 31, 2021 | 79.06 Mn |
| Sep 30, 2021 | 71.44 Mn |
API Access
OP Bancorp Retained Earnings 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=retained-earnings&ticker=OPBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "retained-earnings", "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=retained-earnings&ticker=OPBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();