Darden Restaurants (DRI) Return on Sales [ROS] (2009 - 2026)
Darden Restaurants' Return on Sales [ROS] was 9.98% in fiscal Q1 2027 (quarter ended Aug 30, 2026), down 1.16 percentage points from 11.14% a year earlier and down 3.92 percentage points from the prior quarter.
Darden Restaurants (DRI) Return on Sales [ROS] (2009 - 2026) Analysis & Trends
On a trailing twelve-month basis, Darden Restaurants' Return on Sales [ROS] was 11.69% through Aug 30, 2026, up 0.11 percentage points year-over-year; for FY2026 (ended May 31, 2026), it was 11.98%, up 0.70 percentage points from FY2025.
- Return on Sales [ROS] shows a five-year change of +2.97 percentage points (FY2021 to FY2026).
- In earlier fiscal years, Return on Sales [ROS] was 11.28% in FY2025 (-0.26 pp), 11.54% in FY2024 (+0.08 pp), 11.46% in FY2023 (-0.61 pp) and 12.07% in FY2022 (+3.05 pp).
- The fiscal Q1 2027 figure marks the lowest quarterly Return on Sales [ROS] since fiscal Q1 2025.
- Compared with a year earlier, Return on Sales [ROS] was higher in four of the last eight quarters, with an average year-over-year change of 0.00 percentage points.
- The best year-over-year quarter for Return on Sales [ROS] over five years was fiscal Q3 2022 (a gain of 3.74 percentage points); the worst was fiscal Q1 2023 (a drop of 2.19 percentage points).
- Per Business Quant data, DRI's Return on Sales [ROS] in the three fiscal quarters before Q1 2027 was 13.90% (Q4 2026), 12.15% (Q3 2026) and 10.33% (Q2 2026).
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 |
|---|---|
| Aug 30, 2026 | 9.98% |
| May 31, 2026 | 13.90% |
| Feb 22, 2026 | 12.15% |
| Nov 23, 2025 | 10.33% |
| Aug 24, 2025 | 11.14% |
| May 25, 2025 | 11.70% |
| Feb 23, 2025 | 13.24% |
| Nov 24, 2024 | 10.11% |
| Aug 25, 2024 | 9.76% |
| May 26, 2024 | 13.37% |
| Feb 25, 2024 | 13.02% |
| Nov 26, 2023 | 10.21% |
| Aug 27, 2023 | 9.26% |
| May 28, 2023 | 13.52% |
| Feb 26, 2023 | 12.56% |
| Nov 27, 2022 | 9.38% |
| Aug 28, 2022 | 9.98% |
| May 29, 2022 | 12.99% |
| Feb 27, 2022 | 12.28% |
| Nov 28, 2021 | 10.68% |
Darden Restaurants 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=DRI&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "DRI", "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=DRI&period=max&api_key=YOUR_API_KEY");
const data = await res.json();