Hancock Whitney (HWC) Mortgage Banking (2010 - 2019)
Hancock Whitney (HWC) posted Mortgage Banking of $3.73 million for Q1 2019, up 9.6% from $3.4 million a year earlier but down 5.3% from the prior quarter.
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Analysis
Hancock Whitney (HWC) Mortgage Banking (2010 - 2019) Analysis & Trends
For the trailing twelve months through Mar 31, 2019, Mortgage Banking at Hancock Whitney was $15.96 million, up 6.1% year-over-year; for FY2018, it was $15.63 million, up 2.8% from FY2017.
- Annual Mortgage Banking shows a five-year compound annual growth rate of 4.5% (FY2013 to FY2018).
- In prior years, Hancock Whitney's Mortgage Banking was $15.21 million in FY2017 (-6.6%), $16.28 million in FY2016 (+29.4%), $12.58 million in FY2015 (+56.5%) and $8.04 million in FY2014 (-35.9%).
- Quarterly Mortgage Banking has run from a low of $1.76 million in Q2 2014 to a high of $4.92 million in Q3 2016 over five years.
- On a year-over-year basis, Mortgage Banking has increased in each of the last three quarters, with an average decline of 1.8% over the last eight quarters.
- The strongest year-over-year quarter for Mortgage Banking in the past five years was Q2 2015, with growth of 105.8%; the weakest was Q2 2014, with a decline of 57.5%.
- According to Business Quant data, Mortgage Banking for the three prior quarters was $3.93 million (Q4 2018), $4.33 million (Q3 2018) and $3.97 million (Q2 2018).
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 | Hancock Whitney | 5.80 Bn | 3.59 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2019 | 3.73 Mn |
| Dec 31, 2018 | 3.93 Mn |
| Sep 30, 2018 | 4.33 Mn |
| Jun 30, 2018 | 3.97 Mn |
| Mar 31, 2018 | 3.40 Mn |
| Dec 31, 2017 | 3.24 Mn |
| Sep 30, 2017 | 4.16 Mn |
| Jun 30, 2017 | 4.24 Mn |
| Mar 31, 2017 | 3.57 Mn |
| Dec 31, 2016 | 4.28 Mn |
| Sep 30, 2016 | 4.92 Mn |
| Jun 30, 2016 | 4.18 Mn |
| Mar 31, 2016 | 2.91 Mn |
| Dec 31, 2015 | 2.88 Mn |
| Sep 30, 2015 | 3.41 Mn |
| Jun 30, 2015 | 3.62 Mn |
| Mar 31, 2015 | 2.66 Mn |
| Dec 31, 2014 | 2.00 Mn |
| Sep 30, 2014 | 2.31 Mn |
| Jun 30, 2014 | 1.76 Mn |
API Access
Hancock Whitney 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=HWC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "mortgage-banking", "ticker": "HWC", "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=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();