Central Pacific Financial (CPF) Provision for Losses (2010 - 2026)
Central Pacific Financial (CPF) reported Provision for Losses of $1.89 million for Q3 2026, down 54.5% from $4.16 million a year earlier and down 56.8% from the prior quarter.
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Analysis
Central Pacific Financial (CPF) Provision for Losses (2010 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Central Pacific Financial's Provision for Losses came in at $11.02 million, down 22.0% year-over-year; for FY2025, it came in at $15.71 million, up 59.9% from FY2024.
- Provision for Losses has a five-year compound annual growth rate of -17.9% (FY2020 to FY2025).
- By year, Provision for Losses came in at $9.83 million in FY2024 (-37.4%), $15.7 million in FY2023, -$1.27 million in FY2022 and -$14.59 million in FY2021.
- The Q3 2026 figure ranks as the lowest quarterly Provision for Losses since Q4 2024.
- Year over year, Provision for Losses has now declined in each of the last three quarters, with growth averaging 22.0% over the last eight quarters.
- The high point for year-over-year Provision for Losses in five years was Q4 2023 (growth of 714.9%); the low point was Q4 2024 (a decline of 82.4%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $4.38 million (Q2 2026), $2.35 million (Q1 2026) and $2.4 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Provision for Losses (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 2.74 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 1.30 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 | - | 368.00 Mn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 1.03 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Central Pacific Financial | 993.67 Mn | 993.67 Mn | - | 1.89 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 1.89 Mn |
| Jun 30, 2026 | 4.38 Mn |
| Mar 31, 2026 | 2.35 Mn |
| Dec 31, 2025 | 2.40 Mn |
| Sep 30, 2025 | 4.16 Mn |
| Jun 30, 2025 | 4.99 Mn |
| Mar 31, 2025 | 4.17 Mn |
| Dec 31, 2024 | 818,000.00 |
| Sep 30, 2024 | 2.83 Mn |
| Jun 30, 2024 | 2.24 Mn |
| Mar 31, 2024 | 3.94 Mn |
| Dec 31, 2023 | 4.65 Mn |
| Sep 30, 2023 | 4.87 Mn |
| Jun 30, 2023 | 4.32 Mn |
| Mar 31, 2023 | 1.90 Mn |
| Dec 31, 2022 | 571,000.00 |
| Sep 30, 2022 | 400,000.00 |
| Jun 30, 2022 | 1.00 Mn |
| Mar 31, 2022 | -3.20 Mn |
| Dec 31, 2021 | -7.69 Mn |
API Access
Central Pacific Financial Provision for Losses 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=provision-for-losses&ticker=CPF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "provision-for-losses", "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=provision-for-losses&ticker=CPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();