Hancock Whitney (HWC) Service Charges (2009 - 2019)
Hancock Whitney's Service Charges came in at $20.37 million for Q1 2019, down 5.0% from $21.45 million a year earlier and down 5.1% from the prior quarter.
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Analysis
Hancock Whitney (HWC) Service Charges (2009 - 2019) Analysis & Trends
Over the trailing twelve months to Mar 31, 2019, Hancock Whitney reported Service Charges of $84.19 million, down 1.4% year-over-year; for FY2018, it was $85.27 million, up 2.5% from FY2017.
- Service Charges has increased in each of the last three years, with a five-year compound annual growth rate of 1.5% (FY2013 to FY2018).
- Going back by year, Service Charges was $83.17 million in FY2017 (+12.1%), $74.19 million in FY2016 (+1.9%), $72.81 million in FY2015 (-5.4%) and $77.01 million in FY2014 (-2.5%).
- The Q1 2019 figure represents the lowest quarterly Service Charges since Q2 2017.
- Year-over-year, Service Charges has declined for three consecutive quarters, with growth averaging 6.3% over the last eight quarters.
- The fastest year-over-year change in Service Charges over five years came in Q4 2017 (growth of 20.1%), and the weakest in Q1 2015 (a decline of 7.5%).
- Business Quant data shows HWC's Service Charges at $21.47 million (Q4 2018), $21.38 million (Q3 2018) and $20.98 million (Q2 2018) in the three quarters before Q1 2019.
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 | 20.37 Mn |
| Dec 31, 2018 | 21.47 Mn |
| Sep 30, 2018 | 21.38 Mn |
| Jun 30, 2018 | 20.98 Mn |
| Mar 31, 2018 | 21.45 Mn |
| Dec 31, 2017 | 22.46 Mn |
| Sep 30, 2017 | 21.44 Mn |
| Jun 30, 2017 | 20.06 Mn |
| Mar 31, 2017 | 19.21 Mn |
| Dec 31, 2016 | 18.69 Mn |
| Sep 30, 2016 | 18.72 Mn |
| Jun 30, 2016 | 18.39 Mn |
| Mar 31, 2016 | 18.38 Mn |
| Dec 31, 2015 | 18.97 Mn |
| Sep 30, 2015 | 18.62 Mn |
| Jun 30, 2015 | 17.91 Mn |
| Mar 31, 2015 | 17.32 Mn |
| Dec 31, 2014 | 19.03 Mn |
| Sep 30, 2014 | 20.00 Mn |
| Jun 30, 2014 | 19.27 Mn |
API Access
Hancock Whitney Service Charges 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=service-charges&ticker=HWC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "service-charges", "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=service-charges&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();