Macro Bank (BMA) Rent Expense (2011)
Macro Bank (BMA) posted Rent Expense of $225.91 million for the year ended Dec 31, 2017, up 15.6% from $195.39 million a year earlier.
Analysis
Macro Bank (BMA) Rent Expense (2011) Analysis & Trends
Since the year ended Dec 31, 2009, Macro Bank has reported Rent Expense for 8 years.
- Annual Rent Expense has increased for four consecutive years, with a four-year compound annual growth rate of 30.8% (years ended Dec 2013 to Dec 2017).
- The figure for the year ended Dec 31, 2017 stands as the highest annual Rent Expense in data going back to the year ended Dec 31, 2009.
- Business Quant data shows BMA's Rent Expense at $195.39 million in the year ended Dec 31, 2016 (+43.7%), $135.97 million in the year ended Dec 31, 2015 (+23.3%), $110.27 million in the year ended Dec 31, 2014 (+42.8%) and $77.23 million in the year ended Dec 31, 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Rental Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 1.48 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | - |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 1.91 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 482.00 Mn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 316.29 Mn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | - |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 244.00 Mn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 803.00 Mn |
| 10 | Macro Bank | 42.19 Bn | 5,273.71 Bn | - | - |
API Access
Macro 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=BMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "rent-expense", "ticker": "BMA", "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=BMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();