Central Pacific Financial (CPF) EBITDA (2011 - 2026)
Central Pacific Financial's EBITDA came in at $44.68 million for Q2 2026, up 1.0% from $44.23 million a year earlier and up 0.1% from the prior quarter.
Powered by 
Analysis
Central Pacific Financial (CPF) EBITDA (2011 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 30, 2026, Central Pacific Financial reported EBITDA of $180.61 million, up 6.6% year-over-year; for FY2025, it was $179.51 million, up 5.1% from FY2024.
- EBITDA has increased in each of the last five years, with a five-year compound annual growth rate of 18.7% (FY2020 to FY2025).
- Going back by year, EBITDA was $170.74 million in FY2024 (+8.7%), $157.13 million in FY2023 (+26.7%), $124.02 million in FY2022 (+0.2%) and $123.82 million in FY2021 (+62.6%).
- The five-year range for quarterly EBITDA is $27.82 million (Q2 2022) to $46.98 million (Q4 2025).
- Year-over-year, EBITDA has increased for four consecutive quarters, with growth averaging 2.5% over the last eight quarters.
- The fastest year-over-year change in EBITDA over five years came in Q3 2021 (growth of 119.1%), and the weakest in Q4 2024 (a decline of 13.2%).
- Business Quant data shows CPF's EBITDA at $44.64 million (Q1 2026), $46.98 million (Q4 2025) and $44.3 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 54.95 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -1,174.27 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 30.01 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 21.67 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 18.88 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 | - | 27.17 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 20.89 Bn |
| 10 | Central Pacific Financial | 938.06 Mn | 938.06 Mn | - | 44.68 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 44.68 Mn |
| Mar 31, 2026 | 44.64 Mn |
| Dec 31, 2025 | 46.98 Mn |
| Sep 30, 2025 | 44.30 Mn |
| Jun 30, 2025 | 44.23 Mn |
| Mar 31, 2025 | 43.99 Mn |
| Dec 31, 2024 | 38.21 Mn |
| Sep 30, 2024 | 43.00 Mn |
| Jun 30, 2024 | 46.47 Mn |
| Mar 31, 2024 | 43.06 Mn |
| Dec 31, 2023 | 44.02 Mn |
| Sep 30, 2023 | 39.98 Mn |
| Jun 30, 2023 | 37.45 Mn |
| Mar 31, 2023 | 35.68 Mn |
| Dec 31, 2022 | 37.80 Mn |
| Sep 30, 2022 | 28.80 Mn |
| Jun 30, 2022 | 27.82 Mn |
| Mar 31, 2022 | 29.60 Mn |
| Dec 31, 2021 | 34.38 Mn |
| Sep 30, 2021 | 32.10 Mn |
API Access
Central Pacific Financial EBITDA 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=ebitda&ticker=CPF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=CPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();