Restaurant Brands International (QSR) Shares Outstanding (Diluted) (2013 - 2026)
Restaurant Brands International (QSR) posted Weighted Average Shares Outstanding (Diluted) of 457 million for Q3 2026, unchanged from 457 million a year earlier and down 0.7% from the prior quarter.
Restaurant Brands International (QSR) Shares Outstanding (Diluted) (2013 - 2026) Analysis & Trends
Since Q4 2013, Restaurant Brands International has reported Weighted Average Shares Outstanding (Diluted) for 52 quarters.
- Annual Weighted Average Shares Outstanding (Diluted) shows a five-year compound annual growth rate of -0.5% (FY2020 to FY2025).
- In prior years, Restaurant Brands International's Weighted Average 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%).
- Quarterly Weighted Average Shares Outstanding (Diluted) has run from a low of 453 million in Q1 2024 to a high of 464 million in Q4 2021 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) increased in six of the last eight quarters, with growth averaging 0.5%.
- The strongest year-over-year quarter for Weighted Average 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, Weighted Average Shares Outstanding (Diluted) for the three prior quarters was 460 million (Q2 2026), 459 million (Q1 2026) and 457 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 711.10 Mn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 1.14 Bn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 277.00 Mn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 1.28 Bn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 457.00 Mn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 114.40 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 335.00 Mn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 349.00 Mn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 65.92 Mn |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | 33.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 30, 2026 | 457.00 Mn |
| 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 |
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();