Woori Financial (WF) Financial Services Fees (2009 - 2014)
Woori Financial's Financial Services Fees was $1.98 trillion in FY2022, up 8.6% from $1.83 trillion in FY2021.
Analysis
Woori Financial (WF) Financial Services Fees (2009 - 2014) Analysis & Trends
From FY2009 onward, Woori Financial has reported Financial Services Fees for 12 years.
- Financial Services Fees shows a five-year compound annual growth rate of 406.3% (FY2017 to FY2022).
- The FY2022 figure marks the highest annual Financial Services Fees in data going back to FY2009.
- Per Business Quant data, Financial Services Fees in earlier years was $1.83 trillion in FY2021, $1.44 billion in FY2020 (-2.0%) and $1.47 billion in FY2019.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - |
| 10 | Woori Financial | 18.41 Bn | -300.13 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2014 | 604.68 Mn |
| Dec 31, 2013 | 767.21 Mn |
| Sep 30, 2013 | 553.16 Mn |
| Jun 30, 2013 | 11.19 Mn |
| Dec 31, 2012 | 770.44 Mn |
| Jun 30, 2012 | 11.04 Mn |
| Mar 31, 2012 | 13.32 Mn |
| Dec 31, 2011 | 444.26 Mn |
| Sep 30, 2011 | 13.93 Mn |
| Jun 30, 2011 | 16.45 Mn |
| Mar 31, 2011 | 15.93 Mn |
| Dec 31, 2010 | 436.50 Mn |
| Sep 30, 2010 | 537,228.20 |
| Jun 30, 2010 | 666,869.72 |
| Mar 31, 2010 | 664,823.30 |
| Dec 31, 2009 | 1.62 Bn |
| Sep 30, 2009 | 500,444.08 |
| Jun 30, 2009 | 617,580.34 |
| Mar 31, 2009 | 494,868.39 |
API Access
Woori Financial Financial Services Fees 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=financial-services-fees&ticker=WF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "financial-services-fees", "ticker": "WF", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=financial-services-fees&ticker=WF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();