ONE Group Hospitality (STKS) Operating Expenses (2010 - 2026)
ONE Group Hospitality (STKS) posted Operating Expenses of $193.92 million for Q2 2026, down 6.2% from $206.72 million a year earlier and down 2.5% from the prior quarter.
ONE Group Hospitality (STKS) Operating Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Operating Expenses at ONE Group Hospitality was $783.44 million, down 3.8% year-over-year; for FY2025, it was $797.72 million, up 20.1% from FY2024.
- Annual Operating Expenses has increased for seven consecutive years, with a five-year compound annual growth rate of 38.7% (FY2020 to FY2025).
- In prior years, ONE Group Hospitality's Operating Expenses was $664.45 million in FY2024 (+105.4%), $323.48 million in FY2023 (+7.7%), $300.33 million in FY2022 (+16.5%) and $257.79 million in FY2021 (+65.6%).
- Quarterly Operating Expenses has run from a low of $66.81 million in Q3 2021 to a high of $209.77 million in Q4 2024 over five years.
- On a year-over-year basis, Operating Expenses has declined in each of the last four quarters, with growth averaging 54.6% over the last eight quarters.
- The strongest year-over-year quarter for Operating Expenses in the past five years was Q3 2024, with growth of 150.7%; the weakest was Q2 2026, with a decline of 6.2%.
- According to Business Quant data, Operating Expenses for the three prior quarters was $198.92 million (Q1 2026), $202.53 million (Q4 2025) and $188.07 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Opex (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 3.76 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 8.42 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 2.82 Bn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 1.51 Bn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 1.80 Bn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.80 Bn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 2.79 Bn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 1.54 Bn |
| 10 | ONE Group Hospitality | 52.94 Mn | 26.31 Mn | - | 193.92 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 193.92 Mn |
| Mar 29, 2026 | 198.92 Mn |
| Dec 28, 2025 | 202.53 Mn |
| Sep 28, 2025 | 188.07 Mn |
| Jun 29, 2025 | 206.72 Mn |
| Mar 30, 2025 | 200.40 Mn |
| Dec 31, 2024 | 209.77 Mn |
| Sep 30, 2024 | 197.62 Mn |
| Jun 30, 2024 | 171.44 Mn |
| Mar 31, 2024 | 85.62 Mn |
| Dec 31, 2023 | 85.01 Mn |
| Sep 30, 2023 | 78.84 Mn |
| Jun 30, 2023 | 81.35 Mn |
| Mar 31, 2023 | 78.28 Mn |
| Dec 31, 2022 | 82.45 Mn |
| Sep 30, 2022 | 72.53 Mn |
| Jun 30, 2022 | 75.37 Mn |
| Mar 31, 2022 | 69.98 Mn |
| Dec 31, 2021 | 78.35 Mn |
| Sep 30, 2021 | 66.81 Mn |
ONE Group Hospitality Operating Expenses 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-expenses&ticker=STKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-expenses", "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-expenses&ticker=STKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();