Restaurant Brands International (QSR) Shares Outstanding (Diluted) (2013 - 2026)
Restaurant Brands International (QSR) posted Shares Outstanding (Diluted) of 460 million for Q2 2026, up 0.7% from 457 million a year earlier and up 0.2% from the prior quarter.
Restaurant Brands International (QSR) Shares Outstanding (Diluted) (2013 - 2026) Analysis & Trends
For FY2025, Restaurant Brands International's Shares Outstanding (Diluted) came in at 457 million, up 0.7% from FY2024.
- Annual Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In prior years, Restaurant Brands International's Shares Outstanding (Diluted) was 454 million in FY2024 (-0.4%), 456 million in FY2023 (+0.2%), 455 million in FY2022 (-1.9%) and 464 million in FY2021 (-0.9%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding (Diluted) since Q4 2021.
- On a year-over-year basis, Shares Outstanding (Diluted) has increased in each of the last six quarters, with growth averaging 0.3% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding (Diluted) in the past five years was Q3 2023, with growth of 1.1%; the weakest was Q3 2022, with a decline of 2.4%.
- According to Business Quant data, Shares Outstanding (Diluted) for the three prior quarters was 459 million (Q1 2026), 457 million (Q4 2025) and 457 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 711.10 Mn |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 1.14 Bn |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 277.00 Mn |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 1.28 Bn |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 460.00 Mn |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 114.40 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 336.00 Mn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 349.00 Mn |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 65.92 Mn |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | 321.02 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 460.00 Mn |
| Mar 31, 2026 | 459.00 Mn |
| Dec 31, 2025 | 457.00 Mn |
| Sep 30, 2025 | 457.00 Mn |
| Jun 30, 2025 | 457.00 Mn |
| Mar 31, 2025 | 456.00 Mn |
| Dec 31, 2024 | 454.00 Mn |
| Sep 30, 2024 | 454.00 Mn |
| Jun 30, 2024 | 453.00 Mn |
| Mar 31, 2024 | 453.00 Mn |
| Dec 31, 2023 | 456.00 Mn |
| Sep 30, 2023 | 459.00 Mn |
| Jun 30, 2023 | 458.00 Mn |
| Mar 31, 2023 | 456.00 Mn |
| Dec 31, 2022 | 455.00 Mn |
| Sep 30, 2022 | 454.00 Mn |
| Jun 30, 2022 | 455.00 Mn |
| Mar 31, 2022 | 458.00 Mn |
| Dec 31, 2021 | 464.00 Mn |
| Sep 30, 2021 | 465.00 Mn |
Restaurant Brands International 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=QSR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "QSR", "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=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();