Mastercard (MA) Buildings (2009 - 2010)
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Analysis
Mastercard (MA) Buildings (2009 - 2010) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Visa | 691.47 Bn | 691.47 Bn | - |
| 2 | Mastercard | 563.07 Bn | 563.07 Bn | - |
| 3 | Wise | 10.86 Bn | 10.86 Bn | - |
| 4 | Remitly Global | 5.06 Bn | 2.72 Bn | 307.34 Mn |
| 5 | Western Union | 1.91 Bn | -2.10 Bn | 336.50 Mn |
| 6 | International Money Express | 273.40 Mn | -346.75 Mn | - |
| 7 | Currenc | 131.25 Mn | -120.04 Mn | 3.70 Mn |
| 8 | Sentage Holdings | 4.77 Mn | 689,111.05 | - |
| 9 | American Express | 214.16 Bn | 13.64 Bn | - |
| 10 | Capital One Financial | 126.74 Bn | 126.74 Bn | - |
API Access
Mastercard Buildings 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=buildings&ticker=MA&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "buildings", "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=buildings&ticker=MA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();