Barclays (BCS) FDIC Insurance (2011 - 2014)
Barclays (BCS) posted FDIC Insurance of $207.41 million for FY2017, down 57.8% from $491.09 million in FY2016.
Powered by 
Analysis
Barclays (BCS) FDIC Insurance (2011 - 2014) Analysis & Trends
Since FY2009, Barclays has reported FDIC Insurance for 9 years.
- Annual FDIC Insurance has declined for eight consecutive years, with a five-year compound annual growth rate of -31.9% (FY2012 to FY2017).
- The FY2017 figure stands as the lowest annual FDIC Insurance in data going back to FY2009.
- Business Quant data shows BCS's FDIC Insurance at $491.09 million in FY2016 (-54.7%), $1.08 billion in FY2015 (-1.7%), $1.1 billion in FY2014 (-3.7%) and $1.15 billion in FY2013 (-19.3%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | FDIC Insurance (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 918.86 Bn | 918.86 Bn | - | - |
| 2 | Bank Of America | 355.02 Bn | -2,021.04 Bn | - | - |
| 3 | Hsbc Holdings | 299.60 Bn | -1,803.99 Bn | - | 3.57 Bn |
| 4 | Morgan Stanley | 288.82 Bn | 288.82 Bn | - | - |
| 5 | Royal Bank Of Canada | 288.46 Bn | -541.58 Bn | - | - |
| 6 | Goldman Sachs | 269.80 Bn | 269.80 Bn | - | - |
| 7 | Wells Fargo & Company | 258.84 Bn | 258.84 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 244.75 Bn | -96.64 Bn | 10.89 Bn | - |
| 9 | American Express | 221.16 Bn | 20.64 Bn | - | - |
| 10 | Barclays | 79.79 Bn | -1,629.13 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2014 | 657.91 Mn |
| Mar 31, 2014 | -91.01 Mn |
| Dec 31, 2013 | 27.52 Mn |
| Sep 30, 2013 | -173.60 Mn |
| Jun 30, 2013 | -153.58 Mn |
| Mar 31, 2013 | -52.86 Mn |
| Dec 31, 2012 | -88.32 Mn |
| Sep 30, 2012 | 37.90 Mn |
| Jun 30, 2012 | 107.68 Mn |
| Mar 31, 2012 | 501.18 Mn |
| Dec 31, 2011 | 77.01 Mn |
API Access
Barclays FDIC Insurance 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=fdic-insurance&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "fdic-insurance", "ticker": "BCS", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()const res = await fetch("https://data.businessquant.com/historic?slug=fdic-insurance&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();