Barclays Bank (ATMP) Rent Expense (2010 - 2015)
Barclays Bank (ATMP) posted Rent Expense of $19.5 billion for Q4 2015, up 399.84% on a QoQ basis from -$6.5 billion in Q3 2015, and up 352.55% year-over-year from $4.3 billion in Q4 2014.
Barclays Bank (ATMP) Rent Expense (2010 - 2015) Analysis & Trends
Barclays Bank has reported Rent Expense for 6 years, with the latest figure at $19.5 billion in Q4 2015.
- On a quarterly basis, Rent Expense rose 352.55% year-over-year to $19.5 billion in Q4 2015; TTM through Dec 2015 was $433.7 million, a 101.46% increase from a year earlier, with the FY2020 full-year figure at $1.3 million, down 85.63% from the prior year.
- Rent Expense was $19.5 billion for Q4 2015 at Barclays Bank, up from -$6.5 billion in the prior quarter.
- The five-year high for Rent Expense was $19.5 billion in Q4 2015, with the low at -$9.0 billion in Q4 2013.
- Average Rent Expense over 5 years is -$5.7 billion, with a median of -$7.3 billion recorded in 2012.
- The sharpest annual moves came in 2011 and 2015: Rent Expense slumped 1481.86% in 2011, then jumped 352.55% in 2015.
- Over 5 years, Rent Expense stood at -$7.5 billion in 2011, then slipped by 0.55% to -$7.5 billion in 2012, then slipped by 19.87% to -$9.0 billion in 2013, then advanced by 14.3% to -$7.7 billion in 2014, then jumped by 352.55% to $19.5 billion in 2015.
- The last three Rent Expense figures came in at $19.5 billion (Q4 2015), -$6.5 billion (Q3 2015), and -$6.4 billion (Q2 2015), per Business Quant data.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Bank Of America | 394.48 Bn | -194.01 Bn | 30.39 Bn | 1.91 Bn |
| 2 | Hsbc Holdings | 348.97 Bn | 349.02 Bn | - | - |
| 3 | Morgan Stanley | 314.73 Bn | 154.60 Bn | - | 482.00 Mn |
| 4 | Royal Bank Of Canada | 285.58 Bn | 58.73 Bn | - | 316.29 Mn |
| 5 | Goldman Sachs | 276.87 Bn | -699.48 Bn | - | 244.00 Mn |
| 6 | Mitsubishi Ufj Financial | 274.03 Bn | -110.29 Bn | 10.89 Bn | - |
| 7 | Wells Fargo & Company | 251.82 Bn | 49.99 Bn | - | 803.00 Mn |
| 8 | Banco Santander | 212.85 Bn | 220.46 Bn | 28.01 Bn | - |
| 9 | Toronto Dominion Bank | 207.22 Bn | 45.89 Bn | - | 360.03 Mn |
| 10 | Barclays Bank | 40.38 Bn | 40.38 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2015 | 19.54 Bn |
| Sep 30, 2015 | -6.52 Bn |
| Jun 30, 2015 | -6.38 Bn |
| Mar 31, 2015 | -6.21 Bn |
| Dec 31, 2014 | -7.74 Bn |
| Sep 30, 2014 | -7.20 Bn |
| Jun 30, 2014 | -7.47 Bn |
| Mar 31, 2014 | -7.34 Bn |
| Dec 31, 2013 | -9.03 Bn |
| Sep 30, 2013 | -6.76 Bn |
| Jun 30, 2013 | -6.89 Bn |
| Mar 31, 2013 | -8.23 Bn |
| Dec 31, 2012 | -7.53 Bn |
| Sep 30, 2012 | -6.87 Bn |
| Jun 30, 2012 | -7.21 Bn |
| Mar 31, 2012 | -7.80 Bn |
| Dec 31, 2011 | -7.49 Bn |
| Sep 30, 2011 | -7.55 Bn |
| Jun 30, 2011 | -8.10 Bn |
| Mar 31, 2011 | -707.81 Mn |
Barclays Bank 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=ATMP&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "ticker": "ATMP", "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=ATMP&period=max&api_key=YOUR_API_KEY");
const data = await res.json();