Barclays (BCS) Occupancy Expense (2011 - 2014)
Barclays (BCS) posted Occupancy Expense of $43.66 million for FY2020, down 16.6% from $52.35 million in FY2019.
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Analysis
Barclays (BCS) Occupancy Expense (2011 - 2014) Analysis & Trends
Since FY2016, Barclays has reported Occupancy Expense for 5 years.
- Annual Occupancy Expense has declined for four consecutive years, with a four-year compound annual growth rate of -51.1% (FY2016 to FY2020).
- The FY2020 figure stands as the lowest annual Occupancy Expense in data going back to FY2016.
- Business Quant data shows BCS's Occupancy Expense at $52.35 million in FY2019 (-88.1%), $439.4 million in FY2018 (-0.3%), $440.58 million in FY2017 (-42.1%) and $761.06 million in FY2016.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (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 | - |
| 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 |
|---|---|
| Dec 31, 2014 | -6.87 Bn |
| Sep 30, 2014 | -6.31 Bn |
| Jun 30, 2014 | -6.69 Bn |
| Mar 31, 2014 | -6.57 Bn |
| Dec 31, 2013 | -7.89 Bn |
| Sep 30, 2013 | -5.98 Bn |
| Jun 30, 2013 | -6.02 Bn |
| Mar 31, 2013 | -6.84 Bn |
| Dec 31, 2012 | -6.60 Bn |
| Sep 30, 2012 | -9.47 Mn |
| Jun 30, 2012 | -156.77 Mn |
| Mar 31, 2012 | 1.57 Mn |
| Dec 31, 2011 | -34.57 Mn |
API Access
Barclays Occupancy Expense 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=occupancy-expense&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "occupancy-expense", "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=occupancy-expense&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();