Grupo Aval Acciones Y Valores (AVAL) Rent Expense (2012 - 2015)
Grupo Aval Acciones Y Valores (AVAL) posted Rent Expense of $36.1 million for the year ended Dec 31, 2020, up 6.0% from $34.06 million a year earlier.
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Analysis
Grupo Aval Acciones Y Valores (AVAL) Rent Expense (2012 - 2015) Analysis & Trends
Since the year ended Dec 31, 2009, Grupo Aval Acciones Y Valores has reported Rent Expense for 5 years.
- Business Quant data shows AVAL's Rent Expense at $34.06 million in the year ended Dec 31, 2019 (-50.0%) and $68.13 million in the year ended Dec 31, 2018.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 879.54 Bn | 909.01 Bn | - | 1.48 Bn |
| 2 | Banco Santander Chile | 418.48 Bn | 538.42 Bn | - | - |
| 3 | Bank Of America | 381.92 Bn | -1,994.15 Bn | - | 1.91 Bn |
| 4 | Hsbc Holdings | 341.10 Bn | 341.15 Bn | - | - |
| 5 | Morgan Stanley | 295.71 Bn | -213.38 Bn | - | 482.00 Mn |
| 6 | Royal Bank Of Canada | 275.38 Bn | 126.13 Bn | - | 316.29 Mn |
| 7 | Mitsubishi Ufj Financial | 273.79 Bn | -1,314.70 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 262.78 Bn | -3,294.34 Bn | - | 244.00 Mn |
| 9 | Wells Fargo & Company | 242.61 Bn | 244.75 Bn | - | 803.00 Mn |
| 10 | Grupo Aval Acciones Y Valores | 5.75 Bn | 918.69 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2015 | 23.32 Bn |
| Dec 31, 2014 | 38.67 Bn |
| Sep 30, 2014 | 23.10 Bn |
| Jun 30, 2014 | 25.60 Bn |
| Mar 31, 2014 | 23.32 Bn |
| Dec 31, 2013 | 32.47 Bn |
| Sep 30, 2013 | 33.91 Bn |
| Jun 30, 2013 | 46.21 Bn |
| Mar 31, 2013 | 21.55 Bn |
| Dec 31, 2012 | 48.26 Bn |
| Jun 30, 2012 | 47.71 Bn |
API Access
Grupo Aval Acciones Y Valores 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=AVAL&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "ticker": "AVAL", "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=AVAL&period=max&api_key=YOUR_API_KEY");
const data = await res.json();