Restaurant Brands International Limited Partnership (RSTRF) Return on Sales [ROS] (2013 - 2026)
Restaurant Brands International Limited Partnership (RSTRF) reported Return on Sales [ROS] of 28.41% for Q2 2026, up 8.37 percentage points from 20.04% a year earlier and up 1.65 percentage points from the prior quarter.
Restaurant Brands International Limited Partnership (RSTRF) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 30, 2026, Restaurant Brands International Limited Partnership's Return on Sales [ROS] came in at 26.87%, up 3.48 percentage points year-over-year; for FY2025, it was 23.34%, down 5.44 percentage points from FY2024.
- Return on Sales [ROS] has a five-year change of -5.28 percentage points (FY2020 to FY2025).
- By year, Return on Sales [ROS] came in at 28.78% in FY2024 (-0.43 pp), 29.21% in FY2023 (+0.03 pp), 29.18% in FY2022 (-3.56 pp) and 32.74% in FY2021 (+4.12 pp).
- The Q2 2026 figure ranks as the highest quarterly Return on Sales [ROS] since Q2 2024.
- Year over year, Return on Sales [ROS] gained in four of the last eight quarters, with an average year-over-year change of -1.64 percentage points.
- The high point for year-over-year Return on Sales [ROS] in five years was Q2 2026 (a gain of 8.37 percentage points); the low point was Q2 2025 (a drop of 11.83 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 26.77% (Q1 2026), 25.18% (Q4 2025) and 27.07% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.96 Bn | 166.78 Bn | 6.42 Bn | 47.02% |
| 2 | Starbucks | 110.34 Bn | 97.96 Bn | - | 10.52% |
| 3 | Yum Brands | 41.48 Bn | 38.36 Bn | 1.47 Bn | 30.20% |
| 4 | Chipotle Mexican Grill | 39.00 Bn | 34.98 Bn | - | 15.70% |
| 5 | Restaurant Brands International | 25.80 Bn | 21.35 Bn | 1.38 Bn | 28.41% |
| 6 | Darden Restaurants | 24.38 Bn | 23.48 Bn | 1.68 Bn | 9.98% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 28.41% |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 11.09% |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | 8.50% |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 28.41% |
| Mar 31, 2026 | 26.77% |
| Dec 31, 2025 | 25.18% |
| Sep 30, 2025 | 27.07% |
| Jun 30, 2025 | 20.04% |
| Mar 31, 2025 | 20.63% |
| Dec 31, 2024 | 27.66% |
| Sep 30, 2024 | 25.19% |
| Jun 30, 2024 | 31.87% |
| Mar 31, 2024 | 31.28% |
| Dec 31, 2023 | 25.71% |
| Sep 30, 2023 | 31.68% |
| Jun 30, 2023 | 31.21% |
| Mar 31, 2023 | 28.11% |
| Dec 31, 2022 | 20.49% |
| Sep 30, 2022 | 32.50% |
| Jun 30, 2022 | 33.01% |
| Mar 31, 2022 | 31.01% |
| Dec 31, 2021 | 26.91% |
| Sep 30, 2021 | 35.65% |
Restaurant Brands International Limited Partnership Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=RSTRF&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=RSTRF&period=max&api_key=YOUR_API_KEY");
const data = await res.json();