Mastercard (MA) Shares Outstanding (Diluted) (2009 - 2026)
Mastercard (MA) posted Weighted Average Shares Outstanding (Diluted) of 883 million for Q2 2026, down 2.9% from 909 million a year earlier and down 1.1% from the prior quarter.
Mastercard (MA) Shares Outstanding (Diluted) (2009 - 2026) Analysis & Trends
For FY2025, Mastercard's Weighted Average Shares Outstanding (Diluted) came in at 906 million, down 2.3% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has declined for 15 consecutive years, with a five-year compound annual growth rate of -2.1% (FY2020 to FY2025).
- In prior years, Mastercard's Weighted Average Shares Outstanding (Diluted) was 927 million in FY2024 (-2.0%), 946 million in FY2023 (-2.6%), 971 million in FY2022 (-2.1%) and 992 million in FY2021 (-1.4%).
- The Q2 2026 figure stands as the lowest quarterly Weighted Average Shares Outstanding (Diluted) in data going back to Q1 2009.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has declined in each of the last 61 quarters, with an average decline of 2.3% over the last eight quarters.
- Over the past five years, the year-over-year decline in Weighted Average Shares Outstanding (Diluted) ranged from 1.4% (Q4 2021) to 2.9% (Q2 2026).
- According to Business Quant data, Weighted Average Shares Outstanding (Diluted) for the three prior quarters was 893 million (Q1 2026), 906 million (Q4 2025) and 905 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Visa | 711.40 Bn | 711.40 Bn | - | 1.90 Bn |
| 2 | Mastercard | 580.51 Bn | 580.51 Bn | - | 883.00 Mn |
| 3 | Wise | 11.09 Bn | 11.09 Bn | - | 1.03 Bn |
| 4 | Remitly Global | 5.34 Bn | 2.99 Bn | 307.34 Mn | 221.05 Mn |
| 5 | Western Union | 1.97 Bn | -2.05 Bn | 336.50 Mn | 313.60 Mn |
| 6 | International Money Express | 285.74 Mn | -334.40 Mn | - | 30.61 Mn |
| 7 | Currenc | 118.34 Mn | -132.94 Mn | 3.70 Mn | 61.47 Mn |
| 8 | Sentage Holdings | 4.74 Mn | 661,338.41 | - | 2.81 Mn |
| 9 | American Express | 221.16 Bn | 20.64 Bn | - | 674.00 Mn |
| 10 | Capital One Financial | 130.93 Bn | 130.93 Bn | - | 621.10 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 883.00 Mn |
| Jun 30, 2026 | 883.00 Mn |
| Mar 31, 2026 | 893.00 Mn |
| Dec 31, 2025 | 906.00 Mn |
| Sep 30, 2025 | 905.00 Mn |
| Jun 30, 2025 | 909.00 Mn |
| Mar 31, 2025 | 914.00 Mn |
| Dec 31, 2024 | 927.00 Mn |
| Sep 30, 2024 | 925.00 Mn |
| Jun 30, 2024 | 930.00 Mn |
| Mar 31, 2024 | 935.00 Mn |
| Dec 31, 2023 | 946.00 Mn |
| Sep 30, 2023 | 943.00 Mn |
| Jun 30, 2023 | 949.00 Mn |
| Mar 31, 2023 | 956.00 Mn |
| Dec 31, 2022 | 971.00 Mn |
| Sep 30, 2022 | 968.00 Mn |
| Jun 30, 2022 | 974.00 Mn |
| Mar 31, 2022 | 981.00 Mn |
| Dec 31, 2021 | 992.00 Mn |
Mastercard Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=MA&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=MA&period=max&api_key=YOUR_API_KEY");
const data = await res.json();