Flagstar Bank, National Association (FLG) Mortgage Banking (2010 - 2017)
Flagstar Bank, National Association (FLG) posted Mortgage Banking of -$109,000 for Q4 2017, compared with $3.26 million a year earlier.
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Analysis
Flagstar Bank, National Association (FLG) Mortgage Banking (2010 - 2017) Analysis & Trends
For FY2017, Flagstar Bank, National Association's Mortgage Banking came in at $19.34 million, down 29.1% from FY2016.
- Annual Mortgage Banking has declined for five consecutive years, with a five-year compound annual growth rate of -35.9% (FY2012 to FY2017).
- In prior years, Flagstar Bank, National Association's Mortgage Banking was $27.28 million in FY2016 (-49.6%), $54.11 million in FY2015 (-14.0%), $62.95 million in FY2014 (-19.6%) and $78.28 million in FY2013 (-56.2%).
- The Q4 2017 figure stands as the lowest quarterly Mortgage Banking in data going back to Q1 2010.
- On a year-over-year basis, Mortgage Banking increased in three of the last seven quarters, with an average decline of 9.9%.
- The strongest year-over-year quarter for Mortgage Banking in the past five years was Q1 2017, with growth of 136.0%; the weakest was Q3 2017, with a decline of 88.5%.
- According to Business Quant data, Mortgage Banking for the three prior quarters was $1.49 million (Q3 2017), $8.2 million (Q2 2017) and $9.76 million (Q1 2017).
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 | Flagstar Bank, National Association | 4.86 Bn | 4.86 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | -109,000.00 |
| Sep 30, 2017 | 1.49 Mn |
| Jun 30, 2017 | 8.20 Mn |
| Mar 31, 2017 | 9.76 Mn |
| Dec 31, 2016 | 3.26 Mn |
| Sep 30, 2016 | 12.93 Mn |
| Jun 30, 2016 | 6.96 Mn |
| Mar 31, 2016 | 4.14 Mn |
| Dec 31, 2015 | 12.27 Mn |
| Sep 30, 2015 | 7.47 Mn |
| Jun 30, 2015 | 15.97 Mn |
| Mar 31, 2015 | 18.41 Mn |
| Dec 31, 2014 | 16.45 Mn |
| Sep 30, 2014 | 16.61 Mn |
| Jun 30, 2014 | 15.29 Mn |
| Mar 31, 2014 | 14.61 Mn |
| Dec 31, 2013 | 12.75 Mn |
| Sep 30, 2013 | 16.21 Mn |
| Jun 30, 2013 | 23.22 Mn |
| Mar 31, 2013 | 26.11 Mn |
API Access
Flagstar Bank, National Association 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=FLG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "mortgage-banking", "ticker": "FLG", "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=FLG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();