ONE Group Hospitality (STKS) Operating Income (2010 - 2026)
ONE Group Hospitality (STKS) posted Operating Income of $6.56 million for Q2 2026, up 890.5% from $662,000 a year earlier but down 52.8% from the prior quarter.
ONE Group Hospitality (STKS) Operating Income (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Operating Income at ONE Group Hospitality was $17.06 million, down 14.1% year-over-year; for FY2025, it was $8 million, down 10.1% from FY2024.
- Annual Operating Income has declined for four consecutive years.
- In prior years, ONE Group Hospitality's Operating Income was $8.9 million in FY2024 (-4.3%), $9.29 million in FY2023 (-43.0%), $16.31 million in FY2022 (-15.9%) and $19.39 million in FY2021.
- Quarterly Operating Income has run from a low of -$7.87 million in Q3 2025 to a high of $13.9 million in Q1 2026 over five years.
- On a year-over-year basis, Operating Income increased in three of the last five quarters, with growth averaging 193.2%.
- The strongest year-over-year quarter for Operating Income in the past five years was Q2 2026, with growth of 890.5%; the weakest was Q3 2022, with a decline of 90.3%.
- According to Business Quant data, Operating Income for the three prior quarters was $13.9 million (Q1 2026), $4.48 million (Q4 2025) and -$7.87 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Op. Inc (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 3.34 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 980.40 Mn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 525.60 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 655.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 716.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 516.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 716.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 348.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 142.79 Mn |
| 10 | ONE Group Hospitality | 50.72 Mn | 24.09 Mn | - | 6.56 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 6.56 Mn |
| Mar 29, 2026 | 13.90 Mn |
| Dec 28, 2025 | 4.48 Mn |
| Sep 28, 2025 | -7.87 Mn |
| Jun 29, 2025 | 662,000.00 |
| Mar 30, 2025 | 10.73 Mn |
| Dec 31, 2024 | 12.11 Mn |
| Sep 30, 2024 | -3.65 Mn |
| Jun 30, 2024 | 1.05 Mn |
| Mar 31, 2024 | -620,000.00 |
| Dec 31, 2023 | 4.93 Mn |
| Sep 30, 2023 | -1.96 Mn |
| Jun 30, 2023 | 2.05 Mn |
| Mar 31, 2023 | 4.28 Mn |
| Dec 31, 2022 | 5.86 Mn |
| Sep 30, 2022 | 491,000.00 |
| Jun 30, 2022 | 5.75 Mn |
| Mar 31, 2022 | 4.20 Mn |
| Dec 31, 2021 | 5.71 Mn |
| Sep 30, 2021 | 5.06 Mn |
ONE Group Hospitality Operating Income 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-income&ticker=STKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-income", "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-income&ticker=STKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();