Barclays (BCS) Rent Expense (2011 - 2014)
Barclays (BCS) posted Rent Expense of $43.66 million for FY2020, down 16.6% from $52.35 million in FY2019.
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Analysis
Barclays (BCS) Rent Expense (2011 - 2014) Analysis & Trends
Since FY2016, Barclays has reported Rent Expense for 5 years.
- Annual Rent 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 Rent Expense in data going back to FY2016.
- Business Quant data shows BCS's Rent 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) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 901.39 Bn | 901.39 Bn | - | 1.48 Bn |
| 2 | Bank Of America | 385.63 Bn | -1,990.44 Bn | - | 1.91 Bn |
| 3 | Hsbc Holdings | 330.38 Bn | -1,498.78 Bn | - | - |
| 4 | Morgan Stanley | 292.94 Bn | -216.15 Bn | - | 482.00 Mn |
| 5 | Royal Bank Of Canada | 274.15 Bn | -555.89 Bn | - | 316.29 Mn |
| 6 | Goldman Sachs | 269.96 Bn | -3,287.16 Bn | - | 244.00 Mn |
| 7 | Mitsubishi Ufj Financial | 255.69 Bn | -39.25 Bn | 10.89 Bn | - |
| 8 | Wells Fargo & Company | 249.52 Bn | 249.52 Bn | - | 803.00 Mn |
| 9 | American Express | 208.96 Bn | 784.61 Mn | - | - |
| 10 | Barclays | 81.44 Bn | -1,605.68 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 Rent 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=rent-expense&ticker=BCS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-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=rent-expense&ticker=BCS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();