Yum Brands (YUM) Return on Sales [ROS] (2009 - 2026)
Yum Brands' Return on Sales [ROS] was 30.20% in Q2 2026, down 1.98 percentage points from 32.18% a year earlier and down 1.08 percentage points from the prior quarter.
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Analysis
Yum Brands (YUM) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Yum Brands' Return on Sales [ROS] was 30.99% through Jun 30, 2026, up 0.06 percentage points year-over-year; for FY2025, it was 31.34%, down 0.50 percentage points from FY2024.
- Return on Sales [ROS] shows a five-year change of +4.74 percentage points (FY2020 to FY2025).
- In earlier years, Return on Sales [ROS] was 31.83% in FY2024 (-0.93 pp), 32.76% in FY2023 (+0.79 pp), 31.96% in FY2022 (-0.52 pp) and 32.49% in FY2021 (+5.90 pp).
- Quarterly Return on Sales [ROS] has moved between 26.56% (Q4 2021) and 35.89% (Q3 2023) over five years.
- Compared with a year earlier, Return on Sales [ROS] was higher in two of the last eight quarters, with an average year-over-year change of -1.04 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q3 2023 (a gain of 2.60 percentage points); the worst was Q1 2022 (a drop of 3.64 percentage points).
- Per Business Quant data, YUM's Return on Sales [ROS] in the three quarters before Q2 2026 was 31.28% (Q1 2026), 29.34% (Q4 2025) and 33.65% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 195.98 Bn | 190.80 Bn | 6.42 Bn | 47.02% |
| 2 | Starbucks | 120.13 Bn | 107.76 Bn | - | 10.52% |
| 3 | Yum Brands | 44.36 Bn | 41.25 Bn | 1.47 Bn | 30.20% |
| 4 | Chipotle Mexican Grill | 43.92 Bn | 40.41 Bn | - | 13.72% |
| 5 | Restaurant Brands International | 27.10 Bn | 22.88 Bn | 1.40 Bn | 27.56% |
| 6 | Darden Restaurants | 25.62 Bn | 24.72 Bn | 1.68 Bn | 9.98% |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 27.56% |
| 8 | Yum China Holdings | 17.38 Bn | 11.04 Bn | 537.00 Mn | 11.09% |
| 9 | Texas Roadhouse | 12.08 Bn | 11.42 Bn | - | 8.50% |
| 10 | Dominos Pizza | 11.07 Bn | 10.31 Bn | 476.38 Mn | 20.39% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 30, 2026 | 30.20% |
| Mar 31, 2026 | 31.28% |
| Dec 31, 2025 | 29.34% |
| Sep 30, 2025 | 33.65% |
| Jun 30, 2025 | 32.18% |
| Mar 31, 2025 | 30.67% |
| Dec 31, 2024 | 27.82% |
| Sep 30, 2024 | 33.90% |
| Jun 30, 2024 | 34.43% |
| Mar 31, 2024 | 32.54% |
| Dec 31, 2023 | 29.91% |
| Sep 30, 2023 | 35.89% |
| Jun 30, 2023 | 33.97% |
| Mar 31, 2023 | 31.79% |
| Dec 31, 2022 | 28.63% |
| Sep 30, 2022 | 33.29% |
| Jun 30, 2022 | 33.86% |
| Mar 31, 2022 | 32.90% |
| Dec 31, 2021 | 26.56% |
| Sep 30, 2021 | 32.81% |
API Access
Yum Brands 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=YUM&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "YUM", "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=YUM&period=max&api_key=YOUR_API_KEY");
const data = await res.json();