Rave Restaurant (RAVE) Return on Sales [ROS] (2010 - 2026)
Rave Restaurant (RAVE) posted Return on Sales [ROS] of 29.81% for fiscal Q4 2026 (quarter ended Jun 28, 2026), down 5.67 percentage points from 35.48% a year earlier but up 0.11 percentage points from the prior quarter.
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Analysis
Rave Restaurant (RAVE) Return on Sales [ROS] (2010 - 2026) Analysis & Trends
For FY2026 (ended Jun 28, 2026), Rave Restaurant's Return on Sales [ROS] came in at 26.91%, down 0.06 percentage points from FY2025.
- Annual Return on Sales [ROS] shows a five-year change of +20.28 percentage points (FY2021 to FY2026).
- In prior fiscal years, Rave Restaurant's Return on Sales [ROS] was 26.97% in FY2025 (+2.86 pp), 24.11% in FY2024 (+6.02 pp), 18.08% in FY2023 (+2.56 pp) and 15.53% in FY2022 (+8.89 pp).
- Quarterly Return on Sales [ROS] has run from a low of 11.28% in fiscal Q1 2022 to a high of 35.48% in fiscal Q4 2025 over five years.
- On a year-over-year basis, Return on Sales [ROS] increased in six of the last eight quarters, with an average year-over-year change of +0.86 percentage points.
- The strongest year-over-year quarter for Return on Sales [ROS] in the past five years was fiscal Q1 2022, with a gain of 19.78 percentage points; the weakest was fiscal Q4 2026, with a drop of 5.67 percentage points.
- According to Business Quant data, Return on Sales [ROS] for the three prior fiscal quarters was 29.69% (Q3 2026), 24.39% (Q2 2026) and 23.40% (Q1 2026).
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 | Rave Restaurant | 32.83 Mn | -14.24 Mn | - | 29.81% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 29.81% |
| Mar 29, 2026 | 29.69% |
| Dec 28, 2025 | 24.39% |
| Sep 28, 2025 | 23.40% |
| Jun 29, 2025 | 35.48% |
| Mar 30, 2025 | 28.83% |
| Dec 29, 2024 | 23.14% |
| Sep 29, 2024 | 19.97% |
| Jun 30, 2024 | 35.17% |
| Mar 24, 2024 | 28.83% |
| Dec 24, 2023 | 19.66% |
| Sep 24, 2023 | 16.78% |
| Jun 25, 2023 | 27.07% |
| Mar 26, 2023 | 14.75% |
| Dec 25, 2022 | 17.03% |
| Sep 25, 2022 | 13.31% |
| Jun 26, 2022 | 14.74% |
| Mar 27, 2022 | 18.89% |
| Dec 26, 2021 | 17.10% |
| Sep 26, 2021 | 11.28% |
API Access
Rave Restaurant 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=RAVE&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "RAVE", "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=RAVE&period=max&api_key=YOUR_API_KEY");
const data = await res.json();