Us Bancorp (USB) Change in Net Loans (2011 - 2012)
Us Bancorp (USB) reported Change in Net Loans of $9.23 billion for FY2018, up 14.7% from $8.05 billion in FY2017.
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Analysis
Us Bancorp (USB) Change in Net Loans (2011 - 2012) Analysis & Trends
Dating back to FY2009, Us Bancorp's Change in Net Loans record includes 10 years.
- Change in Net Loans has a five-year compound annual growth rate of -5.6% (FY2013 to FY2018).
- Five-year annual Change in Net Loans spans a low of $8.05 billion in FY2017 and a high of $13.38 billion in FY2016.
- According to Business Quant data, Change in Net Loans came in at $8.05 billion in FY2017 (-39.8%), $13.38 billion in FY2016 (+13.5%), $11.79 billion in FY2015 (-8.4%) and $12.87 billion in FY2014 (+4.4%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change in Net Loans (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 | - | 12.69 Bn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | -22.01 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 | - | 7.29 Bn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | -19.63 Bn |
| 10 | Us Bancorp | 90.01 Bn | 90.47 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2012 | 4.37 Bn |
| Mar 31, 2012 | 2.12 Bn |
| Jun 30, 2011 | 2.35 Bn |
| Mar 31, 2011 | 672.00 Mn |
API Access
Us Bancorp Change in Net Loans 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=change-in-net-loans&ticker=USB&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-net-loans", "ticker": "USB", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=change-in-net-loans&ticker=USB&period=max&api_key=YOUR_API_KEY");
const data = await res.json();