Hancock Whitney (HWC) Interest Expense - Fed Funds (2009 - 2013)
Hancock Whitney (HWC) posted Interest Expense - Fed Funds of $1.09 million for Q4 2013, down 11.0% from $1.23 million a year earlier but up 1.9% from the prior quarter.
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Analysis
Hancock Whitney (HWC) Interest Expense - Fed Funds (2009 - 2013) Analysis & Trends
For FY2013, Hancock Whitney's Interest Expense - Fed Funds came in at $4.54 million, down 24.4% from FY2012.
- Annual Interest Expense - Fed Funds has declined for four consecutive years, with a four-year compound annual growth rate of -19.5% (FY2009 to FY2013).
- In prior years, Hancock Whitney's Interest Expense - Fed Funds was $6.01 million in FY2012 (-14.6%), $7.03 million in FY2011 (-24.4%), $9.31 million in FY2010 (-13.9%) and $10.81 million in FY2009.
- Quarterly Interest Expense - Fed Funds has run from a low of $1.06 million in Q2 2013 to a high of $2.75 million in Q4 2009 over five years.
- On a year-over-year basis, Interest Expense - Fed Funds has declined in each of the last 15 quarters, with an average decline of 19.1% over the last eight quarters.
- Across the past five years, year-over-year decline in Interest Expense - Fed Funds ran from 2.9% in Q1 2012 to 35.0% in Q2 2013.
- According to Business Quant data, Interest Expense - Fed Funds for the three prior quarters was $1.07 million (Q3 2013), $1.06 million (Q2 2013) and $1.32 million (Q1 2013).
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, 2013 | 1.09 Mn |
| Sep 30, 2013 | 1.07 Mn |
| Jun 30, 2013 | 1.06 Mn |
| Mar 31, 2013 | 1.32 Mn |
| Dec 31, 2012 | 1.23 Mn |
| Sep 30, 2012 | 1.51 Mn |
| Jun 30, 2012 | 1.62 Mn |
| Mar 31, 2012 | 1.64 Mn |
| Dec 31, 2011 | 1.69 Mn |
| Sep 30, 2011 | 1.90 Mn |
| Jun 30, 2011 | 1.76 Mn |
| Mar 31, 2011 | 1.69 Mn |
| Dec 31, 2010 | 2.01 Mn |
| Sep 30, 2010 | 2.41 Mn |
| Jun 30, 2010 | 2.45 Mn |
| Mar 31, 2010 | 2.44 Mn |
| Dec 31, 2009 | 2.75 Mn |
| Sep 30, 2009 | 2.73 Mn |
| Jun 30, 2009 | 2.68 Mn |
API Access
Hancock Whitney Interest Expense - Fed Funds 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=interest-expense-fed-funds&ticker=HWC&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "interest-expense-fed-funds", "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=interest-expense-fed-funds&ticker=HWC&period=max&api_key=YOUR_API_KEY");
const data = await res.json();