Hope Bancorp (HOPE) Shares Outstanding (Diluted) (2010 - 2026)
Hope Bancorp's Shares Outstanding (Diluted) came in at 128.31 million for Q2 2026, up 0.1% from 128.22 million a year earlier but down 0.3% from the prior quarter.
Hope Bancorp (HOPE) Shares Outstanding (Diluted) (2010 - 2026) Analysis & Trends
For FY2025, Hope Bancorp's Shares Outstanding (Diluted) was 126.77 million, up 4.7% from FY2024.
- Shares Outstanding (Diluted) carries a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Diluted) was 121.11 million in FY2024 (+0.6%), 120.39 million in FY2023 (-0.1%), 120.47 million in FY2022 (-2.2%) and 123.13 million in FY2021 (-0.6%).
- The five-year range for quarterly Shares Outstanding (Diluted) is 120 million (Q3 2022) to 128.72 million (Q1 2026).
- Year-over-year, Shares Outstanding (Diluted) has increased for ten consecutive quarters, with growth averaging 3.1% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Diluted) over five years came in Q3 2025 (growth of 6.1%), and the weakest in Q2 2022 (a decline of 2.9%).
- Business Quant data shows HOPE's Shares Outstanding (Diluted) at 128.72 million (Q1 2026), 126.77 million (Q4 2025) and 128.59 million (Q3 2025) in the three quarters before Q2 2026.
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 | Hope Bancorp | 1.70 Bn | -772.34 Mn | - | 128.31 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 128.31 Mn |
| Mar 31, 2026 | 128.72 Mn |
| Dec 31, 2025 | 126.77 Mn |
| Sep 30, 2025 | 128.59 Mn |
| Jun 30, 2025 | 128.22 Mn |
| Mar 31, 2025 | 121.43 Mn |
| Dec 31, 2024 | 121.11 Mn |
| Sep 30, 2024 | 121.16 Mn |
| Jun 30, 2024 | 120.94 Mn |
| Mar 31, 2024 | 121.02 Mn |
| Dec 31, 2023 | 120.39 Mn |
| Sep 30, 2023 | 120.37 Mn |
| Jun 30, 2023 | 120.13 Mn |
| Mar 31, 2023 | 120.24 Mn |
| Dec 31, 2022 | 120.47 Mn |
| Sep 30, 2022 | 120.00 Mn |
| Jun 30, 2022 | 120.70 Mn |
| Mar 31, 2022 | 121.09 Mn |
| Dec 31, 2021 | 123.13 Mn |
| Sep 30, 2021 | 122.91 Mn |
Hope 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=HOPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "HOPE", "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=HOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();