Hope Bancorp (HOPE) Restructuring Costs (2010 - 2025)
Hope Bancorp (HOPE) posted Restructuring Costs of $21.53 million for FY2025, up 282.7% from $5.63 million in FY2024.
Analysis
Hope Bancorp (HOPE) Restructuring Costs (2010 - 2025) Analysis & Trends
Since FY2010, Hope Bancorp has reported Restructuring Costs for 13 years.
- Annual Restructuring Costs shows a five-year compound annual growth rate of 43.1% (FY2020 to FY2025).
- The FY2025 figure stands as the highest annual Restructuring Costs in data going back to FY2010.
- Business Quant data shows HOPE's Restructuring Costs at $5.63 million in FY2024 (-51.4%) and $11.58 million in FY2023.
Peer Set
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 | Hope Bancorp | 1.72 Bn | -753.18 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2025 | 2.35 Mn |
| Dec 31, 2024 | 1.76 Mn |
| Sep 30, 2024 | 1.24 Mn |
| Jun 30, 2024 | 1.59 Mn |
| Mar 31, 2024 | 1.04 Mn |
| Dec 31, 2023 | 11.08 Mn |
| Sep 30, 2023 | 500,000.00 |
| Dec 31, 2018 | 1.68 Mn |
| Mar 31, 2018 | -7,000.00 |
| Dec 31, 2017 | 12,000.00 |
| Sep 30, 2017 | 260,000.00 |
| Jun 30, 2017 | 562,000.00 |
| Mar 31, 2017 | 947,000.00 |
| Dec 31, 2016 | 2.95 Mn |
| Sep 30, 2016 | 11.22 Mn |
| Jun 30, 2016 | 1.53 Mn |
| Mar 31, 2016 | 1.21 Mn |
| Dec 31, 2015 | 1.44 Mn |
| Sep 30, 2015 | 24,000.00 |
| Jun 30, 2015 | 26,000.00 |
API Access
Hope Bancorp Restructuring Costs 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=restructuring-costs&ticker=HOPE&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "restructuring-costs", "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=restructuring-costs&ticker=HOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();