Mcdonalds (MCD) Shares Outstanding (2009 - 2026)
Mcdonalds (MCD) reported Weighted Average Shares Outstanding of 709.1 million for Q2 2026, down 0.8% from 714.5 million a year earlier and down 0.2% from the prior quarter.
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Analysis
Mcdonalds (MCD) Shares Outstanding (2009 - 2026) Analysis & Trends
For FY2025, Mcdonalds posted Weighted Average Shares Outstanding of 713.4 million, down 0.7% from FY2024.
- Weighted Average Shares Outstanding has declined for four consecutive years, with a five-year compound annual growth rate of -0.9% (FY2020 to FY2025).
- By year, Weighted Average Shares Outstanding came in at 718.3 million in FY2024 (-1.3%), 727.9 million in FY2023 (-1.2%), 736.5 million in FY2022 (-1.3%) and 746.3 million in FY2021 (+0.2%).
- The Q2 2026 figure ranks as the lowest quarterly Weighted Average Shares Outstanding in data going back to Q1 2009.
- Year over year, Weighted Average Shares Outstanding has now declined in each of the last 18 quarters, with an average decline of 0.9% over the last eight quarters.
- The high point for year-over-year Weighted Average Shares Outstanding in five years was Q3 2021 (growth of 0.3%); the low point was Q3 2022 (a decline of 1.6%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 710.7 million (Q1 2026), 713.4 million (Q4 2025) and 712.9 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.37 Bn | 193.19 Bn | 6.42 Bn | 709.10 Mn |
| 2 | Starbucks | 124.54 Bn | 112.16 Bn | - | 1.14 Bn |
| 3 | Yum Brands | 45.70 Bn | 42.58 Bn | 1.47 Bn | 275.00 Mn |
| 4 | Chipotle Mexican Grill | 44.92 Bn | 41.42 Bn | - | 1.28 Bn |
| 5 | Restaurant Brands International | 27.31 Bn | 23.10 Bn | 1.40 Bn | 349.00 Mn |
| 6 | Darden Restaurants | 26.21 Bn | 25.31 Bn | 1.68 Bn | 113.60 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 335.00 Mn |
| 8 | Yum China Holdings | 17.27 Bn | 10.93 Bn | 537.00 Mn | 348.00 Mn |
| 9 | Texas Roadhouse | 12.83 Bn | 12.17 Bn | - | 65.70 Mn |
| 10 | Dominos Pizza | 11.25 Bn | 10.50 Bn | 476.38 Mn | 33.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 709.10 Mn |
| Mar 31, 2026 | 710.70 Mn |
| Dec 31, 2025 | 713.40 Mn |
| Sep 30, 2025 | 712.90 Mn |
| Jun 30, 2025 | 714.50 Mn |
| Mar 31, 2025 | 714.90 Mn |
| Dec 31, 2024 | 718.30 Mn |
| Sep 30, 2024 | 716.70 Mn |
| Jun 30, 2024 | 718.80 Mn |
| Mar 31, 2024 | 721.80 Mn |
| Dec 31, 2023 | 727.90 Mn |
| Sep 30, 2023 | 727.20 Mn |
| Jun 30, 2023 | 729.60 Mn |
| Mar 31, 2023 | 730.90 Mn |
| Dec 31, 2022 | 736.50 Mn |
| Sep 30, 2022 | 734.90 Mn |
| Jun 30, 2022 | 737.50 Mn |
| Mar 31, 2022 | 742.60 Mn |
| Dec 31, 2021 | 746.30 Mn |
| Sep 30, 2021 | 747.10 Mn |
API Access
Mcdonalds Shares Outstanding 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&ticker=MCD&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "ticker": "MCD", "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&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();