Central Pacific Financial (CPF) Rent Expense (2011 - 2026)
Central Pacific Financial (CPF) posted Rent Expense of $4.3 million for Q2 2026, up 1.1% from $4.25 million a year earlier but down 0.5% from the prior quarter.
Central Pacific Financial (CPF) Rent Expense (2011 - 2026) Analysis & Trends
For the trailing twelve months through Jun 30, 2026, Rent Expense at Central Pacific Financial was $17.65 million, up 1.2% year-over-year; for FY2025, it came in at $17.68 million, down 1.8% from FY2024.
- Annual Rent Expense shows a five-year compound annual growth rate of 3.1% (FY2020 to FY2025).
- In prior years, Central Pacific Financial's Rent 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%).
- Quarterly Rent Expense has run from a low of $3.77 million in Q1 2022 to a high of $4.74 million in Q3 2022 over five years.
- On a year-over-year basis, Rent Expense increased in two of the last eight quarters, with an average decline of 2.5%.
- The strongest year-over-year quarter for Rent 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, Rent Expense for the three prior quarters was $4.32 million (Q1 2026), $4.43 million (Q4 2025) and $4.6 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 1.48 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 1.91 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 482.00 Mn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 316.29 Mn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 244.00 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 803.00 Mn |
| 10 | Central Pacific Financial | 938.06 Mn | 938.06 Mn | - | 4.30 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 30, 2021 | 4.19 Mn |
Central Pacific Financial Rent 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=rent-expense&ticker=CPF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-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=rent-expense&ticker=CPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();