Central Pacific Financial (CPF) Professional Fees (2011 - 2026)
Central Pacific Financial (CPF) posted Professional Fees of $2.83 million for Q3 2026, up 5.8% from $2.67 million a year earlier and up 8.4% from the prior quarter.
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Analysis
Central Pacific Financial (CPF) Professional Fees (2011 - 2026) Analysis & Trends
For the trailing twelve months through Sep 30, 2026, Professional Fees at Central Pacific Financial was $10.69 million, down 1.4% year-over-year; for FY2025, it was $11.22 million, up 14.6% from FY2024.
- Annual Professional Fees shows a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- In prior years, Central Pacific Financial's Professional Fees was $9.79 million in FY2024 (-1.7%), $9.96 million in FY2023 (-7.7%), $10.79 million in FY2022 (+3.3%) and $10.45 million in FY2021 (+15.7%).
- Quarterly Professional Fees has run from a low of $2.25 million in Q4 2023 to a high of $2.93 million in Q4 2021 over five years.
- On a year-over-year basis, Professional Fees increased in six of the last eight quarters, with growth averaging 6.5%.
- The strongest year-over-year quarter for Professional Fees in the past five years was Q1 2025, with growth of 20.6%; the weakest was Q1 2024, with a decline of 19.6%.
- According to Business Quant data, Professional Fees for the three prior quarters was $2.61 million (Q2 2026), $2.38 million (Q1 2026) and $2.88 million (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Professional Fees (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 3.90 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 606.00 Mn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 700.00 Mn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 411.67 Mn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 424.00 Mn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 1.17 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Central Pacific Financial | 993.67 Mn | 993.67 Mn | - | 2.83 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 2.83 Mn |
| Jun 30, 2026 | 2.61 Mn |
| Mar 31, 2026 | 2.38 Mn |
| Dec 31, 2025 | 2.88 Mn |
| Sep 30, 2025 | 2.67 Mn |
| Jun 30, 2025 | 2.87 Mn |
| Mar 31, 2025 | 2.80 Mn |
| Dec 31, 2024 | 2.50 Mn |
| Sep 30, 2024 | 2.46 Mn |
| Jun 30, 2024 | 2.51 Mn |
| Mar 31, 2024 | 2.32 Mn |
| Dec 31, 2023 | 2.25 Mn |
| Sep 30, 2023 | 2.36 Mn |
| Jun 30, 2023 | 2.47 Mn |
| Mar 31, 2023 | 2.89 Mn |
| Dec 31, 2022 | 2.68 Mn |
| Sep 30, 2022 | 2.57 Mn |
| Jun 30, 2022 | 2.92 Mn |
| Mar 31, 2022 | 2.63 Mn |
| Dec 31, 2021 | 2.93 Mn |
API Access
Central Pacific Financial Professional Fees 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=professional-fees&ticker=CPF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "professional-fees", "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=professional-fees&ticker=CPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();