Central Pacific Financial (CPF) Capital Expenditures (2010 - 2026)
Central Pacific Financial (CPF) recorded Capital Expenditures of $1.92 million in Q2 2026, down 3.8% from $2 million a year earlier but up 80.4% from the prior quarter.
Central Pacific Financial (CPF) Capital Expenditures (2010 - 2026) Analysis & Trends
On a TTM basis, Central Pacific Financial's Capital Expenditures came in at $5.26 million as of Jun 30, 2026, down 47.6% year-over-year; for FY2025, it was $5.16 million, down 65.8% from FY2024.
- Annual Capital Expenditures has a five-year compound annual growth rate of -27.6% (FY2020 to FY2025).
- Across earlier years, Capital Expenditures came in at $15.09 million in FY2024 (+19.3%), $12.65 million in FY2023 (-31.4%), $18.44 million in FY2022 (-16.8%) and $22.16 million in FY2021 (-14.8%).
- Quarterly Capital Expenditures has ranged from $858,000 in Q1 2022 to $10.96 million in Q2 2022 over the past five years.
- On a year-over-year basis, Capital Expenditures rose in two of the last eight quarters, with an average decline of 13.3%.
- Peak year-over-year performance for Capital Expenditures in the last five years was growth of 345.5% in Q1 2023, against a decline of 90.4% in Q1 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $1.07 million (Q1 2026), $1.4 million (Q4 2025) and $873,000 (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Capex (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | - |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | - |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 819.00 Mn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 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 | - | 502.00 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | - |
| 10 | Central Pacific Financial | 938.06 Mn | 938.06 Mn | - | 1.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 1.92 Mn |
| Mar 31, 2026 | 1.07 Mn |
| Dec 31, 2025 | 1.40 Mn |
| Sep 30, 2025 | 873,000.00 |
| Jun 30, 2025 | 2.00 Mn |
| Mar 31, 2025 | 889,000.00 |
| Dec 31, 2024 | 1.51 Mn |
| Sep 30, 2024 | 5.65 Mn |
| Jun 30, 2024 | 4.68 Mn |
| Mar 31, 2024 | 3.25 Mn |
| Dec 31, 2023 | 1.68 Mn |
| Sep 30, 2023 | 2.70 Mn |
| Jun 30, 2023 | 4.45 Mn |
| Mar 31, 2023 | 3.82 Mn |
| Dec 31, 2022 | 3.46 Mn |
| Sep 30, 2022 | 3.16 Mn |
| Jun 30, 2022 | 10.96 Mn |
| Mar 31, 2022 | 858,000.00 |
| Dec 31, 2021 | 2.05 Mn |
| Sep 30, 2021 | 5.32 Mn |
Central Pacific Financial Capital Expenditures 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=capital-expenditures&ticker=CPF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "capital-expenditures", "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=capital-expenditures&ticker=CPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();