Regions Financial (RF) Mortgage Banking (2009 - 2018)
Regions Financial's Mortgage Banking came in at $38 million for Q1 2018, down 7.3% from $41 million a year earlier but up 5.6% from the prior quarter.
Regions Financial (RF) Mortgage Banking (2009 - 2018) Analysis & Trends
Over the trailing twelve months to Mar 31, 2018, Regions Financial reported Mortgage Banking of $146 million, down 17.0% year-over-year; for FY2017, it came in at $149 million, down 13.9% from FY2016.
- Mortgage Banking carries a five-year compound annual growth rate of -16.3% (FY2012 to FY2017).
- Going back by year, Mortgage Banking was $173 million in FY2016 (+6.8%), $162 million in FY2015 (+8.7%), $149 million in FY2014 (-36.9%) and $236 million in FY2013 (-35.0%).
- The five-year range for quarterly Mortgage Banking is $27 million (Q4 2014) to $69 million (Q2 2013).
- Year-over-year, Mortgage Banking has declined for four consecutive quarters, with an average decline of 3.1% over the last eight quarters.
- The fastest year-over-year change in Mortgage Banking over five years came in Q4 2015 (growth of 37.0%), and the weakest in Q4 2013 (a decline of 52.2%).
- Business Quant data shows RF's Mortgage Banking at $36 million (Q4 2017), $32 million (Q3 2017) and $40 million (Q2 2017) in the three quarters before Q1 2018.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Jpmorgan Chase | 875.87 Bn | 905.35 Bn | - |
| 2 | Banco Santander Chile | 397.50 Bn | 517.44 Bn | - |
| 3 | Bank Of America | 375.67 Bn | -2,000.39 Bn | - |
| 4 | Hsbc Holdings | 321.90 Bn | 321.95 Bn | - |
| 5 | Morgan Stanley | 298.16 Bn | -210.93 Bn | - |
| 6 | Mitsubishi Ufj Financial | 268.92 Bn | -1,319.57 Bn | 10.89 Bn |
| 7 | Royal Bank Of Canada | 267.86 Bn | 118.60 Bn | - |
| 8 | Goldman Sachs | 258.52 Bn | -3,298.59 Bn | - |
| 9 | Wells Fargo & Company | 243.07 Bn | 245.20 Bn | - |
| 10 | Regions Financial | 22.74 Bn | 22.81 Bn | - |
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2018 | 38.00 Mn |
| Dec 31, 2017 | 36.00 Mn |
| Sep 30, 2017 | 32.00 Mn |
| Jun 30, 2017 | 40.00 Mn |
| Mar 31, 2017 | 41.00 Mn |
| Dec 31, 2016 | 43.00 Mn |
| Sep 30, 2016 | 46.00 Mn |
| Jun 30, 2016 | 46.00 Mn |
| Mar 31, 2016 | 38.00 Mn |
| Dec 31, 2015 | 37.00 Mn |
| Sep 30, 2015 | 39.00 Mn |
| Jun 30, 2015 | 46.00 Mn |
| Mar 31, 2015 | 40.00 Mn |
| Dec 31, 2014 | 27.00 Mn |
| Sep 30, 2014 | 39.00 Mn |
| Jun 30, 2014 | 43.00 Mn |
| Mar 31, 2014 | 40.00 Mn |
| Dec 31, 2013 | 43.00 Mn |
| Sep 30, 2013 | 52.00 Mn |
| Jun 30, 2013 | 69.00 Mn |
Regions 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=RF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "mortgage-banking", "ticker": "RF", "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=RF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();