Hope Bancorp (HOPE) Weighted Average Shares Outstanding (2009 - 2026)
Hope Bancorp (HOPE) reported Weighted Average Shares Outstanding of 127.78 million for Q3 2026, down 0.3% from 128.17 million a year earlier and unchanged from the prior quarter.
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Analysis
Hope Bancorp (HOPE) Weighted Average Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Hope Bancorp posted Weighted Average Shares Outstanding of 126.32 million, up 4.8% from FY2024.
- Weighted Average Shares Outstanding has increased for three consecutive years, with a five-year compound annual growth rate of 0.5% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 120.58 million in FY2024 (+0.6%), 119.91 million in FY2023 (+0.1%), 119.82 million in FY2022 (-2.0%) and 122.32 million in FY2021 (-1.0%).
- Five-year quarterly Weighted Average Shares Outstanding spans a low of 119.48 million in Q3 2022 and a high of 128.17 million in Q3 2025.
- Year over year, Weighted Average Shares Outstanding gained in six of the last eight quarters, with growth averaging 3.0%.
- The high point for year-over-year Weighted Average Shares Outstanding in five years was Q3 2025 (growth of 6.2%); the low point was Q2 2022 (a decline of 2.7%).
- Per Business Quant data, the three quarters before Q3 2026 came in at 127.78 million (Q2 2026), 128.08 million (Q1 2026) and 126.32 million (Q4 2025).
Peer Set
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 | Hope Bancorp | 1.69 Bn | -772.17 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 127.75 Mn |
| Jun 30, 2026 | 127.78 Mn |
| Mar 31, 2026 | 128.08 Mn |
| Dec 31, 2025 | 126.32 Mn |
| Sep 30, 2025 | 128.17 Mn |
| Jun 30, 2025 | 128.00 Mn |
| Mar 31, 2025 | 120.81 Mn |
| Dec 31, 2024 | 120.58 Mn |
| Sep 30, 2024 | 120.73 Mn |
| Jun 30, 2024 | 120.66 Mn |
| Mar 31, 2024 | 120.19 Mn |
| Dec 31, 2023 | 119.91 Mn |
| Sep 30, 2023 | 120.02 Mn |
| Jun 30, 2023 | 119.95 Mn |
| Mar 31, 2023 | 119.55 Mn |
| Dec 31, 2022 | 119.82 Mn |
| Sep 30, 2022 | 119.48 Mn |
| Jun 30, 2022 | 120.22 Mn |
| Mar 31, 2022 | 120.13 Mn |
| Dec 31, 2021 | 122.32 Mn |
API Access
Hope Bancorp Weighted Average Shares Outstanding 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=weighted-average-shares-outstanding&ticker=HOPE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "weighted-average-shares-outstanding", "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=weighted-average-shares-outstanding&ticker=HOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();