Central Pacific Financial (CPF) Interest Expenses (2011 - 2026)
Central Pacific Financial (CPF) reported Interest Expenses of $15.86 million for Q2 2026, down 13.5% from $18.32 million a year earlier but up 0.7% from the prior quarter.
Central Pacific Financial (CPF) Interest Expenses (2011 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Central Pacific Financial's Interest Expenses came in at $67.04 million, down 20.2% year-over-year; for FY2025, it was $73.28 million, down 22.3% from FY2024.
- Interest Expenses has a five-year compound annual growth rate of 37.8% (FY2020 to FY2025).
- By year, Interest Expenses came in at $94.37 million in FY2024 (+29.9%), $72.66 million in FY2023 (+325.1%), $17.09 million in FY2022 (+121.6%) and $7.72 million in FY2021 (-47.6%).
- Five-year quarterly Interest Expenses spans a low of $1.88 million in Q3 2021 and a high of $24.22 million in Q1 2024.
- Year over year, Interest Expenses has now declined in each of the last seven quarters, with an average decline of 13.5% over the last eight quarters.
- The high point for year-over-year Interest Expenses in five years was Q2 2023 (growth of 695.3%); the low point was Q3 2021 (a decline of 28.5%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $15.74 million (Q1 2026), $16.79 million (Q4 2025) and $18.66 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Int Expense (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 25.11 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | -538.61 Bn |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 17.84 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 13.12 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 12.80 Bn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | 9.12 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 18.09 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 10.97 Bn |
| 10 | Central Pacific Financial | 926.97 Mn | 926.97 Mn | - | 15.86 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 15.86 Mn |
| Mar 31, 2026 | 15.74 Mn |
| Dec 31, 2025 | 16.79 Mn |
| Sep 30, 2025 | 18.66 Mn |
| Jun 30, 2025 | 18.32 Mn |
| Mar 31, 2025 | 19.51 Mn |
| Dec 31, 2024 | 22.19 Mn |
| Sep 30, 2024 | 24.05 Mn |
| Jun 30, 2024 | 23.92 Mn |
| Mar 31, 2024 | 24.22 Mn |
| Dec 31, 2023 | 22.97 Mn |
| Sep 30, 2023 | 20.48 Mn |
| Jun 30, 2023 | 16.59 Mn |
| Mar 31, 2023 | 12.61 Mn |
| Dec 31, 2022 | 8.75 Mn |
| Sep 30, 2022 | 4.30 Mn |
| Jun 30, 2022 | 2.09 Mn |
| Mar 31, 2022 | 1.95 Mn |
| Dec 31, 2021 | 1.96 Mn |
| Sep 30, 2021 | 1.88 Mn |
Central Pacific Financial Interest Expenses 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=interest-expenses&ticker=CPF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expenses", "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=interest-expenses&ticker=CPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();