Central Pacific Financial (CPF) Long-Term Investments (2010 - 2026)
Central Pacific Financial (CPF) reported Long-Term Investments of $57.74 million for Q2 2026, up 16.9% from $49.37 million a year earlier but down 3.0% from the prior quarter.
Central Pacific Financial (CPF) Long-Term Investments (2010 - 2026) Analysis & Trends
At the end of FY2025, Central Pacific Financial posted Long-Term Investments of $61.35 million, up 17.0% from FY2024.
- Long-Term Investments has a five-year compound annual growth rate of 15.4% (FY2020 to FY2025).
- By year, Long-Term Investments came in at $52.42 million in FY2024 (+26.2%), $41.55 million in FY2023 (-10.9%), $46.64 million in FY2022 (+57.2%) and $29.68 million in FY2021 (-1.0%).
- Five-year quarterly Long-Term Investments spans a low of $29.68 million in Q4 2021 and a high of $61.35 million in Q4 2025.
- Year over year, Long-Term Investments has now increased in each of the last three quarters, with growth averaging 18.8% over the last eight quarters.
- The high point for year-over-year Long-Term Investments in five years was Q4 2022 (growth of 57.2%); the low point was Q1 2024 (a decline of 11.3%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $59.55 million (Q1 2026), $61.35 million (Q4 2025) and $52.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Long-Term Investments (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 24.30 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 255.63 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | - |
| 10 | Central Pacific Financial | 926.97 Mn | 926.97 Mn | - | 57.74 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 57.74 Mn |
| Mar 31, 2026 | 59.55 Mn |
| Dec 31, 2025 | 61.35 Mn |
| Sep 30, 2025 | 52.99 Mn |
| Jun 30, 2025 | 49.37 Mn |
| Mar 31, 2025 | 50.89 Mn |
| Dec 31, 2024 | 52.42 Mn |
| Sep 30, 2024 | 54.84 Mn |
| Jun 30, 2024 | 40.16 Mn |
| Mar 31, 2024 | 40.78 Mn |
| Dec 31, 2023 | 41.55 Mn |
| Sep 30, 2023 | 42.52 Mn |
| Jun 30, 2023 | 45.22 Mn |
| Mar 31, 2023 | 45.95 Mn |
| Dec 31, 2022 | 46.64 Mn |
| Sep 30, 2022 | 36.77 Mn |
| Jun 30, 2022 | 37.34 Mn |
| Mar 31, 2022 | 31.09 Mn |
| Dec 31, 2021 | 29.68 Mn |
| Sep 30, 2021 | 30.40 Mn |
Central Pacific Financial Long-Term Investments 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=long-term-investments&ticker=CPF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "long-term-investments", "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=long-term-investments&ticker=CPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();