Central Pacific Financial (CPF) Enterprise Value (2010 - 2026)
Central Pacific Financial (CPF) recorded Enterprise Value of $916.43 million in Q3 2026, up 12.3% from $816.25 million a year earlier but down 7.0% from the prior quarter.
Central Pacific Financial (CPF) Enterprise Value (2010 - 2026) Analysis & Trends
For FY2025, Central Pacific Financial reported Enterprise Value of $821.84 million, up 4.5% from FY2024.
- Annual Enterprise Value has a five-year compound annual growth rate of 9.4% (FY2020 to FY2025).
- Across earlier years, Enterprise Value came in at $786.25 million in FY2024 (+47.7%), $532.25 million in FY2023 (-2.9%), $548.07 million in FY2022 (-29.8%) and $780.75 million in FY2021 (+49.2%).
- Quarterly Enterprise Value has ranged from $424.89 million in Q2 2023 to $985.81 million in Q2 2026 over the past five years.
- On a year-over-year basis, Enterprise Value has increased for 11 consecutive quarters, with growth averaging 22.5% over the last eight quarters.
- Peak year-over-year performance for Enterprise Value in the last five years was growth of 77.1% in Q3 2024, against a decline of 37.2% in Q1 2023 at the low end.
- Per Business Quant, the preceding three quarters came in at $985.81 million (Q2 2026), $834.64 million (Q1 2026) and $821.84 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 | 916.43 Mn |
| Jun 30, 2026 | 985.81 Mn |
| Mar 31, 2026 | 834.64 Mn |
| Dec 31, 2025 | 821.84 Mn |
| Sep 30, 2025 | 816.25 Mn |
| Jun 30, 2025 | 756.29 Mn |
| Mar 31, 2025 | 731.75 Mn |
| Dec 31, 2024 | 786.25 Mn |
| Sep 30, 2024 | 798.67 Mn |
| Jun 30, 2024 | 573.75 Mn |
| Mar 31, 2024 | 534.09 Mn |
| Dec 31, 2023 | 532.25 Mn |
| Sep 30, 2023 | 451.08 Mn |
| Jun 30, 2023 | 424.89 Mn |
| Mar 31, 2023 | 483.40 Mn |
| Dec 31, 2022 | 548.07 Mn |
| Sep 30, 2022 | 564.07 Mn |
| Jun 30, 2022 | 589.09 Mn |
| Mar 31, 2022 | 769.67 Mn |
| Dec 31, 2021 | 780.75 Mn |
Central Pacific Financial Enterprise Value 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=enterprise-value&ticker=CPF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=CPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();