Mcdonalds (MCD) Shares Outstanding (Entity) (2009 - 2026)
Mcdonalds' Shares Outstanding (Entity) came in at 707.64 million for Q2 2026, down 0.8% from 713.6 million a year earlier and down 0.4% from the prior quarter.
Mcdonalds (MCD) Shares Outstanding (Entity) (2009 - 2026) Analysis & Trends
For FY2025, Mcdonalds' Shares Outstanding (Entity) was 710.4 million, down 0.6% from FY2024.
- Shares Outstanding (Entity) has declined in each of the last five years, with a five-year compound annual growth rate of -1.0% (FY2020 to FY2025).
- Going back by year, Shares Outstanding (Entity) was 714.46 million in FY2024 (-1.1%), 722.05 million in FY2023 (-1.3%), 731.5 million in FY2022 (-1.6%) and 743.58 million in FY2021 (-0.3%).
- The Q2 2026 figure represents the lowest quarterly Shares Outstanding (Entity) in data going back to Q1 2009.
- Year-over-year, Shares Outstanding (Entity) has declined for 19 consecutive quarters, with an average decline of 0.8% over the last eight quarters.
- The fastest year-over-year change in Shares Outstanding (Entity) over five years came in Q3 2021 (growth of 0.3%), and the weakest in Q3 2022 (a decline of 2.0%).
- Business Quant data shows MCD's Shares Outstanding (Entity) at 710.51 million (Q1 2026), 710.4 million (Q4 2025) and 712.15 million (Q3 2025) in the three quarters before Q2 2026.
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Entity.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 707.64 Mn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 1.14 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 1.27 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 272.90 Mn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 349.21 Mn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 114.10 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 229.85 Mn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 345.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 65.59 Mn |
| 10 | Dominos Pizza | 9.98 Bn | 9.32 Bn | 478.23 Mn | 33.08 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 707.64 Mn |
| Mar 31, 2026 | 710.51 Mn |
| Dec 31, 2025 | 710.40 Mn |
| Sep 30, 2025 | 712.15 Mn |
| Jun 30, 2025 | 713.60 Mn |
| Mar 31, 2025 | 715.03 Mn |
| Dec 31, 2024 | 714.46 Mn |
| Sep 30, 2024 | 716.62 Mn |
| Jun 30, 2024 | 717.34 Mn |
| Mar 31, 2024 | 720.68 Mn |
| Dec 31, 2023 | 722.05 Mn |
| Sep 30, 2023 | 725.34 Mn |
| Jun 30, 2023 | 728.76 Mn |
| Mar 31, 2023 | 730.09 Mn |
| Dec 31, 2022 | 731.50 Mn |
| Sep 30, 2022 | 732.42 Mn |
| Jun 30, 2022 | 735.72 Mn |
| Mar 31, 2022 | 739.55 Mn |
| Dec 31, 2021 | 743.58 Mn |
| Sep 30, 2021 | 747.25 Mn |
Mcdonalds Shares Outstanding (Entity) 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-entity&ticker=MCD&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-entity", "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-entity&ticker=MCD&period=max&api_key=YOUR_API_KEY");
const data = await res.json();