Central Pacific Financial (CPF) Cash Due from Bank (2009 - 2026)
Central Pacific Financial's Cash Due from Bank came in at $116.69 million for Q3 2026, up 13.4% from $102.86 million a year earlier and up 20.7% from the prior quarter.
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Analysis
Central Pacific Financial (CPF) Cash Due from Bank (2009 - 2026) Analysis & Trends
At the end of FY2025, Central Pacific Financial's Cash Due from Bank was $88.2 million, up 13.4% from FY2024.
- Cash Due from Bank carries a five-year compound annual growth rate of -2.0% (FY2020 to FY2025).
- Going back by year, Cash Due from Bank was $77.77 million in FY2024 (-33.1%), $116.18 million in FY2023 (+19.6%), $97.15 million in FY2022 (+19.2%) and $81.51 million in FY2021 (-16.4%).
- The Q3 2026 figure represents the highest quarterly Cash Due from Bank since Q2 2023.
- Year-over-year, Cash Due from Bank increased in five of the last eight quarters, with an average decline of 2.2%.
- The fastest year-over-year change in Cash Due from Bank over five years came in Q1 2023 (growth of 29.3%), and the weakest in Q4 2024 (a decline of 33.1%).
- Business Quant data shows CPF's Cash Due from Bank at $96.68 million (Q2 2026), $88.88 million (Q1 2026) and $88.2 million (Q4 2025) in the three quarters before Q3 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash Due from Bank (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 909.02 Bn | 886.77 Bn | - | 21.26 Bn |
| 2 | Banco Santander Chile | 406.67 Bn | -7,110.43 Bn | - | - |
| 3 | Bank Of America | 350.91 Bn | -2,025.20 Bn | - | 26.91 Bn |
| 4 | Hsbc Holdings | 308.71 Bn | -2,966.46 Bn | - | 94.56 Bn |
| 5 | Morgan Stanley | 293.66 Bn | -249.15 Bn | - | - |
| 6 | Royal Bank Of Canada | 283.56 Bn | -546.44 Bn | - | 45.78 Bn |
| 7 | Goldman Sachs | 262.71 Bn | -3,480.74 Bn | - | - |
| 8 | Wells Fargo & Company | 257.44 Bn | 92.87 Bn | - | 40.56 Bn |
| 9 | Mitsubishi Ufj Financial | 256.82 Bn | -75.42 Bn | 10.89 Bn | 497.98 Bn |
| 10 | Central Pacific Financial | 998.33 Mn | 998.33 Mn | - | 116.69 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 116.69 Mn |
| Jun 30, 2026 | 96.68 Mn |
| Mar 31, 2026 | 88.88 Mn |
| Dec 31, 2025 | 88.20 Mn |
| Sep 30, 2025 | 102.86 Mn |
| Jun 30, 2025 | 110.94 Mn |
| Mar 31, 2025 | 106.67 Mn |
| Dec 31, 2024 | 77.77 Mn |
| Sep 30, 2024 | 100.06 Mn |
| Jun 30, 2024 | 103.83 Mn |
| Mar 31, 2024 | 98.41 Mn |
| Dec 31, 2023 | 116.18 Mn |
| Sep 30, 2023 | 108.82 Mn |
| Jun 30, 2023 | 129.07 Mn |
| Mar 31, 2023 | 108.54 Mn |
| Dec 31, 2022 | 97.15 Mn |
| Sep 30, 2022 | 116.37 Mn |
| Jun 30, 2022 | 108.39 Mn |
| Mar 31, 2022 | 83.95 Mn |
| Dec 31, 2021 | 81.51 Mn |
API Access
Central Pacific Financial Cash Due from Bank 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=cash-due-from-bank&ticker=CPF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-due-from-bank", "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=cash-due-from-bank&ticker=CPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();