Hancock Whitney (HWC) Financial Services Fees (2009 - 2017)
Hancock Whitney (HWC) reported Financial Services Fees of $713,000 for Q4 2017, down 17.7% from $866,000 a year earlier but up 8.0% from the prior quarter.
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Analysis
Hancock Whitney (HWC) Financial Services Fees (2009 - 2017) Analysis & Trends
For FY2017, Hancock Whitney posted Financial Services Fees of $3.21 million, down 28.6% from FY2016.
- Financial Services Fees has declined for four consecutive years, with a five-year compound annual growth rate of -27.2% (FY2012 to FY2017).
- By year, Financial Services Fees came in at $4.5 million in FY2016 (-47.5%), $8.57 million in FY2015 (-9.6%), $9.47 million in FY2014 (-40.1%) and $15.8 million in FY2013 (+0.7%).
- Five-year quarterly Financial Services Fees spans a low of $660,000 in Q3 2017 and a high of $4.85 million in Q2 2013.
- Year over year, Financial Services Fees has now declined in each of the last eight quarters, with an average decline of 37.1% over the last eight quarters.
- The high point for year-over-year Financial Services Fees in five years was Q2 2015 (growth of 37.4%); the low point was Q2 2014 (a decline of 61.0%).
- Per Business Quant data, the three quarters before Q4 2017 came in at $660,000 (Q3 2017), $1.17 million (Q2 2017) and $665,000 (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 | Hancock Whitney | 5.80 Bn | 3.59 Bn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2017 | 713,000.00 |
| Sep 30, 2017 | 660,000.00 |
| Jun 30, 2017 | 1.17 Mn |
| Mar 31, 2017 | 665,000.00 |
| Dec 31, 2016 | 866,000.00 |
| Sep 30, 2016 | 1.09 Mn |
| Jun 30, 2016 | 1.24 Mn |
| Mar 31, 2016 | 1.31 Mn |
| Dec 31, 2015 | 1.98 Mn |
| Sep 30, 2015 | 2.24 Mn |
| Jun 30, 2015 | 2.60 Mn |
| Mar 31, 2015 | 1.75 Mn |
| Dec 31, 2014 | 1.86 Mn |
| Sep 30, 2014 | 1.98 Mn |
| Jun 30, 2014 | 1.89 Mn |
| Mar 31, 2014 | 3.74 Mn |
| Dec 31, 2013 | 3.30 Mn |
| Sep 30, 2013 | 3.66 Mn |
| Jun 30, 2013 | 4.85 Mn |
| Mar 31, 2013 | 3.99 Mn |
API Access
Hancock Whitney 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=HWC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "financial-services-fees", "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=financial-services-fees&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();