Central Pacific Financial (CPF) Total Non-Current Liabilities (2010 - 2026)
Central Pacific Financial (CPF) recorded Total Non-Current Liabilities of $6.8 billion in Q2 2026, up 1.3% from $6.72 billion a year earlier but down 0.1% from the prior quarter.
Central Pacific Financial (CPF) Total Non-Current Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, Central Pacific Financial reported Total Non-Current Liabilities of $6.72 billion, down 1.8% from FY2024.
- Annual Total Non-Current Liabilities has a five-year compound annual growth rate of 2.4% (FY2020 to FY2025).
- Across earlier years, Total Non-Current Liabilities came in at $6.84 billion in FY2024 (-3.0%), $7.05 billion in FY2023 (+2.4%), $6.89 billion in FY2022 (+1.5%) and $6.79 billion in FY2021 (+13.6%).
- Quarterly Total Non-Current Liabilities has ranged from $6.66 billion in Q3 2021 to $7.06 billion in Q3 2023 over the past five years.
- On a year-over-year basis, Total Non-Current Liabilities rose in two of the last eight quarters, with an average decline of 1.2%.
- Peak year-over-year performance for Total Non-Current Liabilities in the last five years was growth of 13.6% in Q4 2021, against a decline of 3.9% in Q3 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.81 billion (Q1 2026), $6.72 billion (Q4 2025) and $6.74 billion (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 4,639.66 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | 60,162.97 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 3,155.50 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | 381.20 Bn |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | - |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 1,603.10 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 2,449.29 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 1,977.24 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | - |
| 10 | Central Pacific Financial | 938.06 Mn | 938.06 Mn | - | 6.80 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 6.80 Bn |
| Mar 31, 2026 | 6.81 Bn |
| Dec 31, 2025 | 6.72 Bn |
| Sep 30, 2025 | 6.74 Bn |
| Jun 30, 2025 | 6.72 Bn |
| Mar 31, 2025 | 6.77 Bn |
| Dec 31, 2024 | 6.84 Bn |
| Sep 30, 2024 | 6.79 Bn |
| Jun 30, 2024 | 6.79 Bn |
| Mar 31, 2024 | 6.82 Bn |
| Dec 31, 2023 | 7.05 Bn |
| Sep 30, 2023 | 7.06 Bn |
| Jun 30, 2023 | 7.00 Bn |
| Mar 31, 2023 | 6.96 Bn |
| Dec 31, 2022 | 6.89 Bn |
| Sep 30, 2022 | 6.81 Bn |
| Jun 30, 2022 | 6.77 Bn |
| Mar 31, 2022 | 6.74 Bn |
| Dec 31, 2021 | 6.79 Bn |
| Sep 30, 2021 | 6.66 Bn |
Central Pacific Financial Total Non-Current Liabilities 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=total-non-current-liabilities&ticker=CPF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-liabilities", "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=total-non-current-liabilities&ticker=CPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();