Wsfs Financial (WSFS) Mortgage Banking (2010 - 2016)
Wsfs Financial (WSFS) posted Mortgage Banking of $1.2 million for FY2019, up 140.0% from $500,000 in FY2018.
Analysis
Wsfs Financial (WSFS) Mortgage Banking (2010 - 2016) Analysis & Trends
Since FY2009, Wsfs Financial has reported Mortgage Banking for 10 years.
- Annual Mortgage Banking shows a five-year compound annual growth rate of -21.4% (FY2014 to FY2019).
- The FY2019 figure stands as the highest annual Mortgage Banking since FY2015.
- Business Quant data shows WSFS's Mortgage Banking at $500,000 in FY2018 (+25.0%), $400,000 in FY2017 and $5.9 million in FY2015 (+47.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 890.60 Bn | 920.07 Bn | - |
| 2 | Banco Santander Chile | 421.74 Bn | 541.68 Bn | - |
| 3 | Bank Of America | 385.85 Bn | -1,990.22 Bn | - |
| 4 | Hsbc Holdings | 345.94 Bn | 345.99 Bn | - |
| 5 | Morgan Stanley | 303.15 Bn | -205.95 Bn | - |
| 6 | Royal Bank Of Canada | 279.82 Bn | 130.57 Bn | - |
| 7 | Mitsubishi Ufj Financial | 274.62 Bn | -1,313.87 Bn | 10.89 Bn |
| 8 | Goldman Sachs | 267.07 Bn | -3,290.04 Bn | - |
| 9 | Wells Fargo & Company | 243.79 Bn | 245.93 Bn | - |
| 10 | Wsfs Financial | 3.87 Bn | -4.45 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2016 | 1.82 Mn |
| Mar 31, 2016 | 1.65 Mn |
| Dec 31, 2015 | 1.35 Mn |
| Sep 30, 2015 | 1.25 Mn |
| Jun 30, 2015 | 1.59 Mn |
| Mar 31, 2015 | 1.70 Mn |
| Dec 31, 2014 | 928,000.00 |
| Sep 30, 2014 | 1.23 Mn |
| Jun 30, 2014 | 1.03 Mn |
| Mar 31, 2014 | 812,000.00 |
| Dec 31, 2013 | 1.14 Mn |
| Sep 30, 2013 | 907,000.00 |
| Jun 30, 2013 | 1.19 Mn |
| Mar 31, 2013 | 737,000.00 |
| Dec 31, 2012 | 964,000.00 |
| Sep 30, 2012 | 914,000.00 |
| Jun 30, 2012 | 452,000.00 |
| Mar 31, 2012 | 516,000.00 |
| Dec 31, 2011 | 489,000.00 |
| Sep 30, 2011 | 257,000.00 |
API Access
Wsfs Financial Mortgage Banking 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=mortgage-banking&ticker=WSFS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "mortgage-banking", "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=mortgage-banking&ticker=WSFS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();