ONE Group Hospitality (STKS) Return on Sales [ROS] (2013 - 2026)
ONE Group Hospitality's Return on Sales [ROS] came in at 3.27% for Q2 2026, up 2.95 percentage points from 0.32% a year earlier but down 3.26 percentage points from the prior quarter.
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Analysis
ONE Group Hospitality (STKS) Return on Sales [ROS] (2013 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, ONE Group Hospitality reported Return on Sales [ROS] of 2.13%, down 0.25 percentage points year-over-year; for FY2025, it was 0.99%, down 0.33 percentage points from FY2024.
- Return on Sales [ROS] has declined in each of the last four years, though with a five-year change of +10.64 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was 1.32% in FY2024 (-1.47 pp), 2.79% in FY2023 (-2.36 pp), 5.15% in FY2022 (-1.84 pp) and 6.99% in FY2021 (+16.64 pp).
- The five-year range for quarterly Return on Sales [ROS] is -4.37% (Q3 2025) to 7.09% (Q2 2022).
- Year-over-year, Return on Sales [ROS] increased in four of the last eight quarters, with an average year-over-year change of +0.60 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q4 2021 (a gain of 15.87 percentage points), and the weakest in Q3 2022 (a drop of 6.37 percentage points).
- Business Quant data shows STKS's Return on Sales [ROS] at 6.53% (Q1 2026), 2.17% (Q4 2025) and -4.37% (Q3 2025) in the three quarters before Q2 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 | ONE Group Hospitality | 49.45 Mn | 22.82 Mn | - | 3.27% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 3.27% |
| Mar 29, 2026 | 6.53% |
| Dec 28, 2025 | 2.17% |
| Sep 28, 2025 | -4.37% |
| Jun 29, 2025 | 0.32% |
| Mar 30, 2025 | 5.08% |
| Dec 31, 2024 | 5.46% |
| Sep 30, 2024 | -1.88% |
| Jun 30, 2024 | 0.61% |
| Mar 31, 2024 | -0.73% |
| Dec 31, 2023 | 5.48% |
| Sep 30, 2023 | -2.54% |
| Jun 30, 2023 | 2.45% |
| Mar 31, 2023 | 5.18% |
| Dec 31, 2022 | 6.64% |
| Sep 30, 2022 | 0.67% |
| Jun 30, 2022 | 7.09% |
| Mar 31, 2022 | 5.66% |
| Dec 31, 2021 | 6.80% |
| Sep 30, 2021 | 7.04% |
API Access
ONE Group Hospitality 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=STKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "ticker": "STKS", "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=STKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();