Barclays (BCS) Rent Expense (2011 - 2014)
Barclays (BCS) posted Rent Expense of -$6.9 billion for Q4 2014, down 8.94% on a QoQ basis from -$6.3 billion in Q3 2014, and up 12.88% year-over-year from -$6.1 billion in Q4 2013.
Barclays (BCS) Rent Expense (2011 - 2014) Analysis & Trends
Barclays has reported Rent Expense for 4 years, with the latest figure at -$6.9 billion in Q4 2014.
- On a quarterly basis, Rent Expense rose 12.88% year-over-year to -$6.9 billion in Q4 2014; TTM through Dec 2014 was -$26.4 billion, a 1.06% increase from a year earlier, with the FY2020 full-year figure at $43.7 million, down 16.6% from the prior year.
- Rent Expense was -$6.9 billion for Q4 2014 at Barclays, down from -$6.3 billion in the prior quarter.
- The five-year high for Rent Expense was -$636.6 million in Q2 2012, with the low at -$7.9 billion in Q4 2013.
- Average Rent Expense over 4 years is -$4.3 billion, with a median of -$6.0 billion recorded in 2013.
- The sharpest annual moves came in 2012 and 2013: Rent Expense climbed 22.38% in 2012, then plunged 895.64% in 2013.
- Over 4 years, Rent Expense stood at -$804.6 million in 2011, then sank by 719.66% to -$6.6 billion in 2012, then fell by 19.65% to -$7.9 billion in 2013, then rose by 12.88% to -$6.9 billion in 2014.
- The last three Rent Expense figures came in at -$6.9 billion (Q4 2014), -$6.3 billion (Q3 2014), and -$6.7 billion (Q2 2014), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Asml Holding | 659.57 Bn | 643.59 Bn | 5.90 Bn | - |
| 2 | Hsbc Holdings | 354.33 Bn | 354.38 Bn | - | - |
| 3 | General Electric | 331.23 Bn | 322.11 Bn | 6.95 Bn | - |
| 4 | Astrazeneca | 260.48 Bn | 255.27 Bn | 12.86 Bn | - |
| 5 | Citigroup | 226.55 Bn | -2,073.32 Bn | 24.75 Bn | 618.00 Mn |
| 6 | Bhp | 218.78 Bn | 200.24 Bn | - | - |
| 7 | Diageo | 211.16 Bn | 211.21 Bn | - | - |
| 8 | Rio Tinto | 188.09 Bn | 183.71 Bn | - | - |
| 9 | Ferrari | 154.46 Bn | 152.71 Bn | 1.18 Bn | - |
| 10 | Barclays | 87.74 Bn | 88.35 Bn | - | - |
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 | -664.82 Mn |
| Jun 30, 2012 | -636.59 Mn |
| Mar 31, 2012 | -686.57 Mn |
| Dec 31, 2011 | -804.64 Mn |
| Sep 30, 2011 | -772.99 Mn |
| Jun 30, 2011 | -820.16 Mn |
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_KEY
import 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();