ONE Group Hospitality (STKS) Operating Margin (2013 - 2026)
ONE Group Hospitality (STKS) reported Operating Margin of 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.
ONE Group Hospitality (STKS) Operating Margin (2013 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, ONE Group Hospitality's Operating Margin came in at 2.13%, down 0.25 percentage points year-over-year; for FY2025, it was 0.99%, down 0.33 percentage points from FY2024.
- Operating Margin has declined for four consecutive years, though with a five-year change of +10.64 percentage points (FY2020 to FY2025).
- By year, Operating Margin came in at 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).
- Five-year quarterly Operating Margin spans a low of -4.37% in Q3 2025 and a high of 7.09% in Q2 2022.
- Year over year, Operating Margin gained in four of the last eight quarters, with an average year-over-year change of +0.60 percentage points.
- The high point for year-over-year Operating Margin in five years was Q4 2021 (a gain of 15.87 percentage points); the low point was Q3 2022 (a drop of 6.37 percentage points).
- Per Business Quant data, the three quarters before Q2 2026 came in at 6.53% (Q1 2026), 2.17% (Q4 2025) and -4.37% (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Operating Margin (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 47.02% |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 10.52% |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 15.70% |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 30.20% |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 28.41% |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 13.90% |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 28.41% |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 11.09% |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 8.50% |
| 10 | ONE Group Hospitality | 52.94 Mn | 26.31 Mn | - | 3.27% |
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% |
ONE Group Hospitality Operating Margin 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=operating-margin&ticker=STKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-margin", "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=operating-margin&ticker=STKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();