Restaurant Brands International (QSR) Shares Outstanding (2013 - 2026)
Restaurant Brands International (QSR) posted Shares Outstanding of 348 million for Q2 2026, up 6.1% from 328 million a year earlier and up 0.3% from the prior quarter.
Restaurant Brands International (QSR) Shares Outstanding (2013 - 2026) Analysis & Trends
For FY2025, Restaurant Brands International's Shares Outstanding came in at 329 million, up 3.1% from FY2024.
- Annual Shares Outstanding has increased for three consecutive years, with a five-year compound annual growth rate of 1.7% (FY2020 to FY2025).
- In prior years, Restaurant Brands International's Shares Outstanding was 319 million in FY2024 (+2.2%), 312 million in FY2023 (+1.6%), 307 million in FY2022 (-1.0%) and 310 million in FY2021 (+2.6%).
- The Q2 2026 figure stands as the highest quarterly Shares Outstanding since Q3 2014.
- On a year-over-year basis, Shares Outstanding has increased in each of the last 13 quarters, with growth averaging 3.7% over the last eight quarters.
- The strongest year-over-year quarter for Shares Outstanding in the past five years was Q1 2026, with growth of 6.4%; the weakest was Q3 2022, with a decline of 1.6%.
- According to Business Quant data, Shares Outstanding for the three prior quarters was 347 million (Q1 2026), 329 million (Q4 2025) and 328 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 709.10 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 1.14 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 1.28 Bn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 275.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 348.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 115.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 228.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 348.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 65.70 Mn |
| 10 | Dominos Pizza | 9.91 Bn | 9.25 Bn | 478.23 Mn | 33.22 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 348.00 Mn |
| Mar 31, 2026 | 347.00 Mn |
| Dec 31, 2025 | 329.00 Mn |
| Sep 30, 2025 | 328.00 Mn |
| Jun 30, 2025 | 328.00 Mn |
| Mar 31, 2025 | 326.00 Mn |
| Dec 31, 2024 | 319.00 Mn |
| Sep 30, 2024 | 319.00 Mn |
| Jun 30, 2024 | 317.00 Mn |
| Mar 31, 2024 | 314.00 Mn |
| Dec 31, 2023 | 312.00 Mn |
| Sep 30, 2023 | 314.00 Mn |
| Jun 30, 2023 | 312.00 Mn |
| Mar 31, 2023 | 309.00 Mn |
| Dec 31, 2022 | 307.00 Mn |
| Sep 30, 2022 | 306.00 Mn |
| Jun 30, 2022 | 308.00 Mn |
| Mar 31, 2022 | 309.00 Mn |
| Dec 31, 2021 | 310.00 Mn |
| Sep 30, 2021 | 311.00 Mn |
Restaurant Brands International 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=QSR&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=QSR&period=max&api_key=YOUR_API_KEY");
const data = await res.json();