Wendy's (WEN) Return on Sales [ROS] (2009 - 2026)
Wendy's' Return on Sales [ROS] was 13.90% in Q2 2026, down 4.69 percentage points from 18.59% a year earlier but up 1.89 percentage points from the prior quarter.
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Analysis
Wendy's (WEN) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Wendy's' Return on Sales [ROS] was 13.63% through Jun 28, 2026, down 3.36 percentage points year-over-year; for FY2025, it was 15.78%, down 0.75 percentage points from FY2024.
- Return on Sales [ROS] shows a four-year change of +0.24 percentage points (FY2021 to FY2025).
- In earlier years, Return on Sales [ROS] was 16.53% in FY2024 (-0.98 pp), 17.51% in FY2023 (+0.65 pp), 16.86% in FY2022 and 15.53% in FY2021.
- Quarterly Return on Sales [ROS] has moved between 9.42% (Q4 2022) and 19.46% (Q2 2023) over five years.
- Compared with a year earlier, Return on Sales [ROS] has declined for three straight quarters, with an average year-over-year change of -1.58 percentage points over the last eight quarters.
- The best year-over-year quarter for Return on Sales [ROS] over five years was Q4 2023 (a gain of 6.61 percentage points); the worst was Q4 2025 (a drop of 4.93 percentage points).
- Per Business Quant data, WEN's Return on Sales [ROS] in the three quarters before Q2 2026 was 12.01% (Q1 2026), 11.79% (Q4 2025) and 16.75% (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 47.02% |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 10.52% |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 15.70% |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 30.20% |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 28.41% |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 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 | 13.79 Bn | 8.16 Bn | 537.00 Mn | 11.09% |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 8.50% |
| 10 | Wendy's | 1.17 Bn | -65.48 Mn | 363.30 Mn | 13.90% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 13.90% |
| Mar 29, 2026 | 12.01% |
| Dec 28, 2025 | 11.79% |
| Sep 28, 2025 | 16.75% |
| Jun 29, 2025 | 18.59% |
| Mar 30, 2025 | 15.88% |
| Dec 29, 2024 | 16.72% |
| Sep 29, 2024 | 16.71% |
| Jun 30, 2024 | 17.44% |
| Mar 31, 2024 | 15.18% |
| Dec 31, 2023 | 16.02% |
| Oct 1, 2023 | 18.45% |
| Jul 2, 2023 | 19.46% |
| Apr 2, 2023 | 15.98% |
| Jan 1, 2023 | 9.42% |
| Oct 2, 2022 | 18.43% |
| Jul 3, 2022 | 17.90% |
| Apr 3, 2022 | 15.32% |
| Oct 3, 2021 | 17.05% |
| Jul 4, 2021 | 25.69% |
API Access
Wendy's 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=WEN&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "WEN", "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=WEN&period=max&api_key=YOUR_API_KEY");
const data = await res.json();