OP Bancorp (OPBK) Shares Outstanding (Diluted) (2017 - 2026)
OP Bancorp (OPBK) reported Shares Outstanding (Diluted) of 14.94 million for Q2 2026, up 0.6% from 14.86 million a year earlier and up 0.1% from the prior quarter.
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Analysis
OP Bancorp (OPBK) Shares Outstanding (Diluted) (2017 - 2026) Analysis & Trends
For FY2025, OP Bancorp posted Shares Outstanding (Diluted) of 14.91 million, up 0.2% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of -0.4% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 14.87 million in FY2024 (-1.9%), 15.16 million in FY2023 (-0.5%), 15.23 million in FY2022 (+0.5%) and 15.16 million in FY2021 (-0.5%).
- The Q2 2026 figure ranks as the highest quarterly Shares Outstanding (Diluted) since Q1 2024.
- Year over year, Shares Outstanding (Diluted) has now increased in each of the last four quarters, with an average decline of 0.4% over the last eight quarters.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q1 2022 (growth of 1.1%); the low point was Q3 2024 (a decline of 2.2%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 14.93 million (Q1 2026), 14.91 million (Q4 2025) and 14.92 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 2.69 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | 26.92 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 7.29 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | 3.51 Bn |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 1.57 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 1.41 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 11.40 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 304.90 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 3.07 Bn |
| 10 | OP Bancorp | 223.90 Mn | -445.47 Mn | - | 14.94 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.94 Mn |
| Mar 31, 2026 | 14.93 Mn |
| Dec 31, 2025 | 14.91 Mn |
| Sep 30, 2025 | 14.92 Mn |
| Jun 30, 2025 | 14.86 Mn |
| Mar 31, 2025 | 14.86 Mn |
| Dec 31, 2024 | 14.87 Mn |
| Sep 30, 2024 | 14.81 Mn |
| Jun 30, 2024 | 14.87 Mn |
| Mar 31, 2024 | 14.99 Mn |
| Dec 31, 2023 | 15.16 Mn |
| Sep 30, 2023 | 15.14 Mn |
| Jun 30, 2023 | 15.17 Mn |
| Mar 31, 2023 | 15.31 Mn |
| Dec 31, 2022 | 15.23 Mn |
| Sep 30, 2022 | 15.28 Mn |
| Jun 30, 2022 | 15.23 Mn |
| Mar 31, 2022 | 15.24 Mn |
| Dec 31, 2021 | 15.16 Mn |
| Sep 30, 2021 | 15.20 Mn |
API Access
OP Bancorp Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=OPBK&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=OPBK&period=max&api_key=YOUR_API_KEY");
const data = await res.json();