Central Pacific Financial (CPF) Other Liabilities (2010 - 2026)
Central Pacific Financial (CPF) posted Other Liabilities of $99.32 million for Q3 2026, up 11.2% from $89.31 million a year earlier but down 2.9% from the prior quarter.
Central Pacific Financial (CPF) Other Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Central Pacific Financial's Other Liabilities came in at $97.73 million, up 7.1% from FY2024.
- Annual Other Liabilities shows a five-year compound annual growth rate of 4.8% (FY2020 to FY2025).
- In prior years, Central Pacific Financial's Other Liabilities was $91.28 million in FY2024 (+6.5%), $85.71 million in FY2023 (-7.0%), $92.18 million in FY2022 (+22.4%) and $75.32 million in FY2021 (-2.4%).
- Quarterly Other Liabilities has run from a low of $68.12 million in Q1 2022 to a high of $105.35 million in Q3 2023 over five years.
- On a year-over-year basis, Other Liabilities has increased in each of the last eight quarters, with growth averaging 9.3% over the last eight quarters.
- The strongest year-over-year quarter for Other Liabilities in the past five years was Q1 2023, with growth of 28.2%; the weakest was Q3 2024, with a decline of 18.7%.
- According to Business Quant data, Other Liabilities for the three prior quarters was $102.32 million (Q2 2026), $94.08 million (Q1 2026) and $97.73 million (Q4 2025).
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
| Date | Value |
|---|---|
| Sep 30, 2026 | 99.32 Mn |
| Jun 30, 2026 | 102.32 Mn |
| Mar 31, 2026 | 94.08 Mn |
| Dec 31, 2025 | 97.73 Mn |
| Sep 30, 2025 | 89.31 Mn |
| Jun 30, 2025 | 83.50 Mn |
| Mar 31, 2025 | 80.60 Mn |
| Dec 31, 2024 | 91.28 Mn |
| Sep 30, 2024 | 85.62 Mn |
| Jun 30, 2024 | 81.21 Mn |
| Mar 31, 2024 | 77.96 Mn |
| Dec 31, 2023 | 85.71 Mn |
| Sep 30, 2023 | 105.35 Mn |
| Jun 30, 2023 | 95.48 Mn |
| Mar 31, 2023 | 87.36 Mn |
| Dec 31, 2022 | 92.18 Mn |
| Sep 30, 2022 | 84.99 Mn |
| Jun 30, 2022 | 78.24 Mn |
| Mar 31, 2022 | 68.12 Mn |
| Dec 31, 2021 | 75.32 Mn |
Central Pacific Financial Other Liabilities 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=other-liabilities&ticker=CPF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-liabilities", "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=other-liabilities&ticker=CPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();