Central Pacific Financial (CPF) Occupancy Expense (2011 - 2026)
Central Pacific Financial (CPF) posted Occupancy Expense of $4.67 million for Q3 2026, up 1.6% from $4.6 million a year earlier and up 8.7% from the prior quarter.
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Analysis
Central Pacific Financial (CPF) Occupancy Expense (2011 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Occupancy Expense at Central Pacific Financial was $17.72 million, up 1.7% year-over-year; for FY2025, it came in at $17.68 million, down 1.8% from FY2024.
- Annual Occupancy Expense shows a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In prior years, Central Pacific Financial's Occupancy Expense was $18 million in FY2024 (-1.0%), $18.19 million in FY2023 (+7.2%), $16.96 million in FY2022 (+5.1%) and $16.13 million in FY2021 (+6.4%).
- The Q3 2026 figure stands as the highest quarterly Occupancy Expense since Q4 2023.
- On a year-over-year basis, Occupancy Expense increased in three of the last eight quarters, with an average decline of 2.0%.
- The strongest year-over-year quarter for Occupancy Expense in the past five years was Q1 2023, with growth of 18.5%; the weakest was Q4 2024, with a decline of 10.4%.
- According to Business Quant data, Occupancy Expense for the three prior quarters was $4.3 million (Q2 2026), $4.32 million (Q1 2026) and $4.43 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - |
| 10 | Central Pacific Financial | 993.67 Mn | 993.67 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 4.67 Mn |
| Jun 30, 2026 | 4.30 Mn |
| Mar 31, 2026 | 4.32 Mn |
| Dec 31, 2025 | 4.43 Mn |
| Sep 30, 2025 | 4.60 Mn |
| Jun 30, 2025 | 4.25 Mn |
| Mar 31, 2025 | 4.39 Mn |
| Dec 31, 2024 | 4.19 Mn |
| Sep 30, 2024 | 4.61 Mn |
| Jun 30, 2024 | 4.60 Mn |
| Mar 31, 2024 | 4.60 Mn |
| Dec 31, 2023 | 4.68 Mn |
| Sep 30, 2023 | 4.73 Mn |
| Jun 30, 2023 | 4.31 Mn |
| Mar 31, 2023 | 4.47 Mn |
| Dec 31, 2022 | 4.00 Mn |
| Sep 30, 2022 | 4.74 Mn |
| Jun 30, 2022 | 4.45 Mn |
| Mar 31, 2022 | 3.77 Mn |
| Dec 31, 2021 | 4.13 Mn |
API Access
Central Pacific Financial 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=CPF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "ticker": "CPF", "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=CPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();