Central Pacific Financial (CPF) Divestments (2014 - 2019)
Central Pacific Financial's Divestments came in at $495,000 for FY2023.
Analysis
Central Pacific Financial (CPF) Divestments (2014 - 2019) Analysis & Trends
Going back to FY2016, Central Pacific Financial's Divestments data covers 5 years.
- Divestments carries a five-year compound annual growth rate of -4.5% (FY2018 to FY2023).
- The FY2023 figure represents the highest annual Divestments in data going back to FY2016.
- Per Business Quant, earlier years put Divestments at $622,000 in FY2019 (unchanged).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Divestments (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 | - | - |
| 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 | - | - |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | - |
| 10 | Central Pacific Financial | 938.06 Mn | 938.06 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 622,000.00 |
| Dec 31, 2018 | 622,000.00 |
| Dec 31, 2017 | 109,000.00 |
| Sep 30, 2017 | 94,000.00 |
| Jun 30, 2017 | 17,000.00 |
| Mar 31, 2017 | 438,000.00 |
| Dec 31, 2016 | 117,000.00 |
| Sep 30, 2016 | 116,000.00 |
| Jun 30, 2016 | 44,000.00 |
| Mar 31, 2016 | 368,000.00 |
| Sep 30, 2015 | 138,000.00 |
| Jun 30, 2015 | 72,000.00 |
| Mar 31, 2015 | 214,000.00 |
| Sep 30, 2014 | 74,000.00 |
API Access
Central Pacific Financial Divestments 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=divestments&ticker=CPF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "divestments", "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=divestments&ticker=CPF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();