Hope Bancorp (HOPE) Occupancy Expense (2009 - 2026)
Hope Bancorp (HOPE) reported Occupancy Expense of $9 million for Q4 2025, up 31.7% from $6.84 million a year earlier but down 1.6% from the prior quarter.
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Analysis
Hope Bancorp (HOPE) Occupancy Expense (2009 - 2026) Analysis & Trends
For FY2025, Hope Bancorp posted Occupancy Expense of $34.21 million, up 24.5% from FY2024.
- Occupancy Expense has a five-year compound annual growth rate of 3.4% (FY2020 to FY2025).
- By year, Occupancy Expense came in at $27.47 million in FY2024 (-4.8%), $28.87 million in FY2023 (+2.1%), $28.27 million in FY2022 (-2.2%) and $28.9 million in FY2021 (-0.1%).
- Five-year quarterly Occupancy Expense spans a low of $6.68 million in Q3 2022 and a high of $9.15 million in Q3 2025.
- Year over year, Occupancy Expense has now increased in each of the last four quarters, with growth averaging 9.8% over the last eight quarters.
- The high point for year-over-year Occupancy Expense in five years was Q3 2025 (growth of 31.9%); the low point was Q3 2022 (a decline of 10.6%).
- Per Business Quant data, the three quarters before Q4 2025 came in at $9.15 million (Q3 2025), $8.88 million (Q2 2025) and $7.17 million (Q1 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 | 11.74 Mn |
| Jun 30, 2026 | 11.35 Mn |
| Mar 31, 2026 | 10.57 Mn |
| Dec 31, 2025 | 9.00 Mn |
| Sep 30, 2025 | 9.15 Mn |
| Jun 30, 2025 | 8.88 Mn |
| Mar 31, 2025 | 7.17 Mn |
| Dec 31, 2024 | 6.84 Mn |
| Sep 30, 2024 | 6.94 Mn |
| Jun 30, 2024 | 6.91 Mn |
| Mar 31, 2024 | 6.79 Mn |
| Dec 31, 2023 | 7.23 Mn |
| Sep 30, 2023 | 7.15 Mn |
| Jun 30, 2023 | 6.97 Mn |
| Mar 31, 2023 | 7.52 Mn |
| Dec 31, 2022 | 7.07 Mn |
| Sep 30, 2022 | 6.68 Mn |
| Jun 30, 2022 | 7.18 Mn |
| Mar 31, 2022 | 7.34 Mn |
| Dec 31, 2021 | 7.39 Mn |
API Access
Hope Bancorp Occupancy Expense 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=occupancy-expense&ticker=HOPE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "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=occupancy-expense&ticker=HOPE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();