Mastercard (MA) Change in Taxes (2009 - 2017)
Mastercard (MA) posted Change in Taxes of -$185 million for FY2025, compared with $165 million in FY2024.
Analysis
Mastercard (MA) Change in Taxes (2009 - 2017) Analysis & Trends
Since FY2009, Mastercard has reported Change in Taxes for 15 years.
- The FY2025 figure stands as the lowest annual Change in Taxes since FY2009.
- Business Quant data shows MA's Change in Taxes at $165 million in FY2024 (-3.5%), $171 million in FY2023, -$121 million in FY2022 and $87 million in FY2021.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Taxes (Qtr) |
|---|---|---|---|---|---|
| 1 | Visa | 640.99 Bn | 584.31 Bn | - | - |
| 2 | Mastercard | 480.27 Bn | 440.19 Bn | - | - |
| 3 | Wise | 14.06 Bn | -73.72 Bn | - | - |
| 4 | Remitly Global | 4.52 Bn | 2.17 Bn | 307.34 Mn | - |
| 5 | Western Union | 1.84 Bn | -2.17 Bn | 336.50 Mn | -2.40 Mn |
| 6 | International Money Express | 349.75 Mn | -270.40 Mn | - | - |
| 7 | Currenc | 189.34 Mn | -37.59 Mn | 3.70 Mn | - |
| 8 | Sentage Holdings | 4.71 Mn | 4.71 Mn | - | - |
| 9 | American Express | 205.34 Bn | -2.83 Bn | - | - |
| 10 | Capital One Financial | 118.54 Bn | 118.54 Bn | - | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 31, 2017 | 5.00 Mn |
| Dec 31, 2016 | 5.00 Mn |
| Sep 30, 2016 | -4.00 Mn |
| Jun 30, 2016 | -3.00 Mn |
| Mar 31, 2016 | 3.00 Mn |
| Dec 31, 2015 | -83.00 Mn |
| Sep 30, 2015 | 20.00 Mn |
| Mar 31, 2015 | 63.00 Mn |
| Dec 31, 2014 | -4.00 Mn |
| Sep 30, 2014 | 12.00 Mn |
| Dec 31, 2013 | 5.00 Mn |
| Jun 30, 2013 | -9.00 Mn |
| Mar 31, 2013 | -149.00 Mn |
| Dec 31, 2012 | 132.00 Mn |
| Sep 30, 2012 | 22.00 Mn |
| Jun 30, 2012 | 31.00 Mn |
| Dec 31, 2010 | 34.00 Mn |
| Sep 30, 2010 | 2.00 Mn |
| Mar 31, 2009 | -190.00 Mn |
API Access
Mastercard Change in Taxes 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=change-in-taxes&ticker=MA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-taxes", "ticker": "MA", "period": "max", "api_key": "YOUR_API_KEY"}
data = requests.get(url, params=params).json()
const res = await fetch("https://data.businessquant.com/historic?slug=change-in-taxes&ticker=MA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();