Central Pacific Financial (CPF) Tax Provisions (2013 - 2026)
Central Pacific Financial (CPF) reported Tax Provisions of $7.39 million for Q3 2026, up 45.9% from $5.07 million a year earlier and up 21.8% from the prior quarter.
Central Pacific Financial (CPF) Tax Provisions (2013 - 2026) Analysis & Trends
Over the twelve months ended Sep 30, 2026, Central Pacific Financial's Tax Provisions came in at $24.99 million, up 42.6% year-over-year; for FY2025, it was $20.8 million, up 42.2% from FY2024.
- Tax Provisions has a five-year compound annual growth rate of 12.1% (FY2020 to FY2025).
- By year, Tax Provisions came in at $14.63 million in FY2024 (-19.4%), $18.15 million in FY2023 (-26.9%), $24.84 million in FY2022 (-3.6%) and $25.76 million in FY2021 (+119.0%).
- The Q3 2026 figure ranks as the highest quarterly Tax Provisions since Q4 2021.
- Year over year, Tax Provisions has now increased in each of the last seven quarters, with growth averaging 32.8% over the last eight quarters.
- The high point for year-over-year Tax Provisions in five years was Q4 2025 (growth of 159.3%); the low point was Q4 2024 (a decline of 51.8%).
- Per Business Quant data, the three quarters before Q3 2026 came in at $6.07 million (Q2 2026), $6.19 million (Q1 2026) and $5.34 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.91 Bn | 918.91 Bn | - | 4.83 Bn |
| 2 | Banco Santander Chile | 870.35 Bn | 846.93 Bn | - | - |
| 3 | Bank Of America | 358.55 Bn | -2,017.56 Bn | - | 2.03 Bn |
| 4 | Hsbc Holdings | 315.74 Bn | -668.95 Bn | - | - |
| 5 | Morgan Stanley | 290.88 Bn | -253.14 Bn | - | 1.51 Bn |
| 6 | Royal Bank Of Canada | 287.92 Bn | 137.98 Bn | - | 1.24 Bn |
| 7 | Goldman Sachs | 270.57 Bn | -3,472.88 Bn | - | 1.71 Bn |
| 8 | Wells Fargo & Company | 258.79 Bn | 258.79 Bn | - | 1.16 Bn |
| 9 | Mitsubishi Ufj Financial | 247.94 Bn | 129.81 Bn | - | - |
| 10 | Central Pacific Financial | 993.67 Mn | 993.67 Mn | - | 7.39 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 7.39 Mn |
| Jun 30, 2026 | 6.07 Mn |
| Mar 31, 2026 | 6.19 Mn |
| Dec 31, 2025 | 5.34 Mn |
| Sep 30, 2025 | 5.07 Mn |
| Jun 30, 2025 | 5.61 Mn |
| Mar 31, 2025 | 4.79 Mn |
| Dec 31, 2024 | 2.06 Mn |
| Sep 30, 2024 | 3.76 Mn |
| Jun 30, 2024 | 4.84 Mn |
| Mar 31, 2024 | 3.97 Mn |
| Dec 31, 2023 | 4.27 Mn |
| Sep 30, 2023 | 4.35 Mn |
| Jun 30, 2023 | 4.47 Mn |
| Mar 31, 2023 | 5.06 Mn |
| Dec 31, 2022 | 6.70 Mn |
| Sep 30, 2022 | 5.92 Mn |
| Jun 30, 2022 | 6.18 Mn |
| Mar 31, 2022 | 6.04 Mn |
| Dec 31, 2021 | 7.61 Mn |
Central Pacific Financial Tax Provisions 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=tax-provisions&ticker=CPF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=CPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();