Macro Bank (BMA) Tax Provisions (2011 - 2024)
Macro Bank's Tax Provisions was $29.52 billion in the quarter ended Sep 30, 2024, down 17.0% from $35.57 billion a year earlier.
Macro Bank (BMA) Tax Provisions (2011 - 2024) Analysis & Trends
On a trailing twelve-month basis, Macro Bank's Tax Provisions was $420.71 billion through Sep 30, 2024, up 203.9% year-over-year; for the year ended Dec 31, 2014, it came in at $1.96 billion, up 47.2% from the prior year.
- In earlier years, Tax Provisions was $1.33 billion in the year ended Dec 31, 2013, -$853.48 million in the year ended Dec 31, 2012, -$657.86 million in the year ended Dec 31, 2011 and -$365.78 million in the year ended Dec 31, 2010.
- Quarterly Tax Provisions has moved between -$152.44 billion (the quarter ended Jun 30, 2024) and $424.63 billion (the quarter ended Dec 31, 2023) over five years.
- Compared with a year earlier, Tax Provisions was higher in three of the last four quarters, with growth averaging 274.2%.
- The best year-over-year quarter for Tax Provisions over five years was the quarter ended Mar 31, 2023 (growth of 570.9%); the worst was the quarter ended Sep 30, 2021 (a decline of 89.2%).
- Per Business Quant data, BMA's Tax Provisions in the three quarters before the quarter ended Sep 30, 2024 was -$152.44 billion (quarter ended Jun 30, 2024), $119 billion (quarter ended Mar 31, 2024) and $424.63 billion (quarter ended Dec 31, 2023).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Jpmorgan Chase | 895.36 Bn | 924.83 Bn | - | 6.36 Bn |
| 2 | Banco Santander Chile | 425.01 Bn | 544.95 Bn | - | -51.13 Bn |
| 3 | Bank Of America | 389.22 Bn | -1,986.85 Bn | - | 2.49 Bn |
| 4 | Hsbc Holdings | 347.56 Bn | 347.61 Bn | - | - |
| 5 | Morgan Stanley | 304.44 Bn | -204.66 Bn | - | 1.70 Bn |
| 6 | Royal Bank Of Canada | 281.54 Bn | 132.29 Bn | - | 1.24 Bn |
| 7 | Mitsubishi Ufj Financial | 277.23 Bn | -1,311.26 Bn | 10.89 Bn | 1.17 Bn |
| 8 | Goldman Sachs | 267.12 Bn | -3,289.99 Bn | - | 1.94 Bn |
| 9 | Wells Fargo & Company | 244.76 Bn | 246.90 Bn | - | 1.40 Bn |
| 10 | Macro Bank | 42.19 Bn | 5,273.71 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2024 | 29.52 Bn |
| Jun 30, 2024 | -152.44 Bn |
| Mar 31, 2024 | 119.00 Bn |
| Dec 31, 2023 | 424.63 Bn |
| Sep 30, 2023 | 35.57 Bn |
| Jun 30, 2023 | 71.71 Bn |
| Mar 31, 2023 | 21.60 Bn |
| Dec 31, 2022 | 9.58 Bn |
| Sep 30, 2022 | 18.55 Bn |
| Jun 30, 2022 | 4.47 Bn |
| Mar 31, 2022 | 3.22 Bn |
| Dec 31, 2021 | -6.42 Bn |
| Sep 30, 2021 | 522.00 Mn |
| Jun 30, 2021 | 2.11 Bn |
| Mar 31, 2021 | 3.59 Bn |
| Dec 31, 2020 | 930.00 Mn |
| Sep 30, 2020 | 4.82 Bn |
| Jun 30, 2020 | 3.91 Bn |
| Mar 31, 2020 | 5.63 Bn |
| Dec 31, 2019 | 5.64 Bn |
Macro Bank Tax Provisions 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=tax-provisions&ticker=BMA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "tax-provisions", "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=tax-provisions&ticker=BMA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();