Macro Bank (BMA) Operating Income (2010 - 2018)
Macro Bank (BMA) recorded Operating Income of $534.33 billion in the quarter ended Dec 31, 2024, down 74.5% from $2.1 trillion a year earlier but up 32.3% from the prior quarter.
Macro Bank (BMA) Operating Income (2010 - 2018) Analysis & Trends
For the year ended Dec 31, 2024, Macro Bank reported Operating Income of $2.72 trillion, down 38.4% from the prior year.
- Annual Operating Income has a five-year compound annual growth rate of 168.1% (years ended Dec 2019 to Dec 2024).
- Across earlier years, Operating Income came in at $4.41 trillion in the year ended Dec 31, 2023 (+386.0%), $906.78 billion in the year ended Dec 31, 2022 (+397.2%), $182.38 billion in the year ended Dec 31, 2021 (+80.6%) and $100.99 billion in the year ended Dec 31, 2020 (+414.5%).
- Quarterly Operating Income has ranged from $19.26 billion in the quarter ended Jun 30, 2020 to $2.1 trillion in the quarter ended Dec 31, 2023 over the past five years.
- On a year-over-year basis, Operating Income has declined for three consecutive quarters, with growth averaging 204.1% over the last seven quarters.
- Peak year-over-year performance for Operating Income in the last five years was growth of 571.0% in the quarter ended Jun 30, 2023, against a decline of 82.7% in the quarter ended Jun 30, 2024 at the low end.
- Per Business Quant, the preceding three quarters came in at $403.73 billion (quarter ended Sep 30, 2024), $111.09 billion (quarter ended Jun 30, 2024) and $1.67 trillion (quarter ended Mar 31, 2024).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 915.25 Bn | 915.25 Bn | - | - |
| 2 | Bank Of America | 361.21 Bn | -2,014.90 Bn | - | - |
| 3 | Hsbc Holdings | 312.55 Bn | -1,791.04 Bn | - | 8.97 Bn |
| 4 | Morgan Stanley | 291.89 Bn | -252.14 Bn | - | - |
| 5 | Royal Bank Of Canada | 286.64 Bn | -543.40 Bn | - | - |
| 6 | Goldman Sachs | 267.44 Bn | -3,476.01 Bn | - | - |
| 7 | Wells Fargo & Company | 258.41 Bn | 258.41 Bn | - | - |
| 8 | Mitsubishi Ufj Financial | 246.57 Bn | -94.82 Bn | 10.89 Bn | 5.11 Bn |
| 9 | American Express | 218.71 Bn | 18.19 Bn | - | - |
| 10 | Macro Bank | 7.34 Bn | -562.54 Mn | - | - |
Historic Data
| Date | Value |
|---|---|
| Dec 31, 2018 | 7.56 Bn |
| Sep 30, 2018 | 5.54 Bn |
| Jun 30, 2018 | 4.26 Bn |
| Mar 31, 2018 | 5.11 Bn |
| Dec 31, 2017 | 4.18 Bn |
| Sep 30, 2017 | 4.23 Bn |
| Jun 30, 2017 | 3.41 Bn |
| Mar 31, 2017 | 3.08 Bn |
| Dec 31, 2016 | 2.61 Bn |
| Sep 30, 2016 | 2.53 Bn |
| Jun 30, 2016 | 2.69 Bn |
| Mar 31, 2016 | 2.13 Bn |
| Dec 31, 2015 | 2.64 Bn |
| Sep 30, 2015 | 1.82 Bn |
| Jun 30, 2015 | 1.23 Bn |
| Dec 31, 2014 | 5.38 Bn |
| Dec 31, 2013 | 3.69 Bn |
| Dec 31, 2012 | 2.32 Bn |
| Dec 31, 2011 | 1.76 Bn |
| Dec 31, 2010 | 1.31 Bn |
Macro Bank Operating Income 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=operating-income&ticker=BMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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=operating-income&ticker=BMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();