Macro Bank (BMA) Revenue (2013 - 2018)
Macro Bank's Revenue came in at $44.91 million for the year ended Dec 31, 2017, up 17.0% from $38.39 million a year earlier.
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Analysis
Macro Bank (BMA) Revenue (2013 - 2018) Analysis & Trends
Going back to the year ended Dec 31, 2009, Macro Bank's Revenue data covers 8 years.
- Revenue has increased in each of the last four years, with a four-year compound annual growth rate of 25.3% (years ended Dec 2013 to Dec 2017).
- The figure for the year ended Dec 31, 2017 represents the highest annual Revenue in data going back to the year ended Dec 31, 2009.
- Per Business Quant, earlier years put Revenue at $38.39 million in the year ended Dec 31, 2016 (+41.4%), $27.16 million in the year ended Dec 31, 2015 (+19.9%), $22.65 million in the year ended Dec 31, 2014 (+24.2%) and $18.23 million in the year ended Dec 31, 2013.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 916.58 Bn | 916.58 Bn | - | 50.17 Bn |
| 2 | Bank Of America | 362.10 Bn | -2,014.01 Bn | - | 29.96 Bn |
| 3 | Hsbc Holdings | 314.03 Bn | -1,789.56 Bn | - | 18.62 Bn |
| 4 | Morgan Stanley | 289.57 Bn | -254.46 Bn | - | 20.34 Bn |
| 5 | Royal Bank Of Canada | 287.54 Bn | -542.51 Bn | - | 13.30 Bn |
| 6 | Goldman Sachs | 268.73 Bn | -3,474.72 Bn | - | 18.68 Bn |
| 7 | Wells Fargo & Company | 258.05 Bn | 258.05 Bn | - | 21.87 Bn |
| 8 | Mitsubishi Ufj Financial | 247.49 Bn | -93.90 Bn | 10.89 Bn | 9.94 Bn |
| 9 | American Express | 218.27 Bn | 17.76 Bn | - | 20.06 Bn |
| 10 | Macro Bank | 7.49 Bn | -407.16 Mn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 15.63 Bn |
| Sep 30, 2018 | 13.39 Bn |
| Jun 30, 2018 | 11.98 Bn |
| Mar 31, 2018 | 10.49 Bn |
| Dec 31, 2017 | 9.86 Bn |
| Sep 30, 2017 | 7.84 Bn |
| Jun 30, 2017 | 7.13 Bn |
| Mar 31, 2017 | 6.05 Bn |
| Dec 31, 2014 | 1.96 Bn |
| Dec 31, 2013 | 1.33 Bn |
API Access
Macro Bank Revenue 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=revenue&ticker=BMA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=BMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();