Central Pacific Financial (CPF) Revenue (2011 - 2026)
Central Pacific Financial's Revenue was $14.62 million in Q2 2026, up 12.3% from $13.01 million a year earlier and up 26.3% from the prior quarter.
Central Pacific Financial (CPF) Revenue (2011 - 2026) Analysis & Trends
On a trailing twelve-month basis, Central Pacific Financial's Revenue was $53.9 million through Jun 30, 2026, up 36.6% year-over-year; for FY2025, it came in at $51.82 million, up 33.8% from FY2024.
- Revenue shows a five-year compound annual growth rate of -26.6% (FY2020 to FY2025).
- In earlier years, Revenue was $38.72 million in FY2024 (-17.0%), $46.66 million in FY2023 (-2.6%), $47.92 million in FY2022 (+11.3%) and $43.06 million in FY2021 (-82.3%).
- The Q2 2026 figure marks the highest quarterly Revenue since Q4 2023.
- Compared with a year earlier, Revenue has increased for five straight quarters, with growth averaging 51.8% over the last eight quarters.
- The best year-over-year quarter for Revenue over five years was Q4 2025 (growth of 441.2%); the worst was Q2 2023 (a decline of 85.1%).
- Per Business Quant data, CPF's Revenue in the three quarters before Q2 2026 was $11.57 million (Q1 2026), $14.2 million (Q4 2025) and $13.51 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 57.35 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 31.56 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 21.35 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 13.30 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 20.34 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 22.62 Bn |
| 10 | Central Pacific Financial | 938.06 Mn | 938.06 Mn | - | 14.62 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 14.62 Mn |
| Mar 31, 2026 | 11.57 Mn |
| Dec 31, 2025 | 14.20 Mn |
| Sep 30, 2025 | 13.51 Mn |
| Jun 30, 2025 | 13.01 Mn |
| Mar 31, 2025 | 11.10 Mn |
| Dec 31, 2024 | 2.62 Mn |
| Sep 30, 2024 | 12.73 Mn |
| Jun 30, 2024 | 12.12 Mn |
| Mar 31, 2024 | 11.24 Mn |
| Dec 31, 2023 | 15.17 Mn |
| Sep 30, 2023 | 10.05 Mn |
| Jun 30, 2023 | 10.44 Mn |
| Mar 31, 2023 | 11.01 Mn |
| Dec 31, 2022 | 67.89 Mn |
| Sep 30, 2022 | 64.99 Mn |
| Jun 30, 2022 | 70.12 Mn |
| Mar 31, 2022 | 60.49 Mn |
| Dec 31, 2021 | 64.66 Mn |
| Sep 30, 2021 | 66.34 Mn |
Central Pacific Financial Revenue 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=revenue&ticker=CPF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=CPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();