Wsfs Financial (WSFS) Financial Services Fees (2010 - 2018)
Wsfs Financial's Financial Services Fees was $2.58 million in Q1 2018, up 7.7% from $2.4 million a year earlier.
Powered by 
Analysis
Wsfs Financial (WSFS) Financial Services Fees (2010 - 2018) Analysis & Trends
On a trailing twelve-month basis, Wsfs Financial's Financial Services Fees was $4.16 million through Mar 31, 2018, up 92.9% year-over-year; for FY2017, it came in at $400,000, up 33.3% from FY2016.
- Financial Services Fees shows a five-year compound annual growth rate of 2.2% (FY2012 to FY2017).
- In earlier years, Financial Services Fees was $300,000 in FY2016 (unchanged), $300,000 in FY2015 (+5.3%), $285,000 in FY2014 (-16.7%) and $342,000 in FY2013 (-4.7%).
- The Q1 2018 figure marks the highest quarterly Financial Services Fees in data going back to Q2 2010.
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 | Wsfs Financial | 3.86 Bn | -4.46 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 2.58 Mn |
| Mar 31, 2017 | 2.40 Mn |
| Dec 31, 2011 | -1.43 Mn |
| Sep 30, 2011 | 610,000.00 |
| Jun 30, 2011 | 576,000.00 |
| Dec 31, 2010 | -1.51 Mn |
| Sep 30, 2010 | 626,000.00 |
| Jun 30, 2010 | 709,000.00 |
API Access
Wsfs 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=WSFS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "financial-services-fees", "ticker": "WSFS", "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=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();