Restaurant Brands International Limited Partnership (RSTRF) Shares Outstanding (Diluted) (2013 - 2026)
Restaurant Brands International Limited Partnership (RSTRF) reported Shares Outstanding (Diluted) of 336 million for Q2 2026, unchanged from 336 million a year earlier and up 0.3% from the prior quarter.
Restaurant Brands International Limited Partnership (RSTRF) Shares Outstanding (Diluted) (2013 - 2026) Analysis & Trends
For FY2025, Restaurant Brands International Limited Partnership posted Shares Outstanding (Diluted) of 210 million, down 37.3% from FY2024.
- Shares Outstanding (Diluted) has a five-year compound annual growth rate of 0.8% (FY2020 to FY2025).
- By year, Shares Outstanding (Diluted) came in at 335 million in FY2024 (+65.8%), 202 million in FY2023 (unchanged), 202 million in FY2022 (-42.8%) and 353 million in FY2021 (+74.8%).
- Five-year quarterly Shares Outstanding (Diluted) spans a low of 202 million in Q2 2022 and a high of 353 million in Q4 2021.
- Year over year, Shares Outstanding (Diluted) gained in three of the last eight quarters, with growth averaging 9.4%.
- The high point for year-over-year Shares Outstanding (Diluted) in five years was Q4 2021 (growth of 74.8%); the low point was Q3 2022 (a decline of 42.8%).
- Per Business Quant data, the three quarters before Q2 2026 came in at 335 million (Q1 2026), 210 million (Q4 2025) and 336 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 | 336.00 Mn |
| Mar 31, 2026 | 335.00 Mn |
| Dec 31, 2025 | 210.00 Mn |
| Sep 30, 2025 | 336.00 Mn |
| Jun 30, 2025 | 336.00 Mn |
| Mar 31, 2025 | 209.00 Mn |
| Dec 31, 2024 | 335.00 Mn |
| Sep 30, 2024 | 204.00 Mn |
| Jun 30, 2024 | 336.00 Mn |
| Mar 31, 2024 | 336.00 Mn |
| Dec 31, 2023 | 202.00 Mn |
| Sep 30, 2023 | 341.00 Mn |
| Jun 30, 2023 | 343.00 Mn |
| Mar 31, 2023 | 345.00 Mn |
| Dec 31, 2022 | 202.00 Mn |
| Sep 30, 2022 | 202.00 Mn |
| Jun 30, 2022 | 202.00 Mn |
| Mar 31, 2022 | 347.00 Mn |
| Dec 31, 2021 | 353.00 Mn |
| Sep 30, 2021 | 353.00 Mn |
Restaurant Brands International Limited Partnership 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=RSTRF&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "RSTRF", "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=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();