ONE Group Hospitality (STKS) Revenue (2013 - 2026)
ONE Group Hospitality (STKS) posted Revenue of $200.48 million for Q2 2026, down 3.3% from $207.38 million a year earlier and down 5.8% from the prior quarter.
ONE Group Hospitality (STKS) Revenue (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Revenue at ONE Group Hospitality was $800.51 million, down 4.1% year-over-year; for FY2025, it came in at $805.72 million, up 19.7% from FY2024.
- Annual Revenue has increased for 12 consecutive years, with a five-year compound annual growth rate of 41.5% (FY2020 to FY2025).
- In prior years, ONE Group Hospitality's Revenue was $673.34 million in FY2024 (+102.3%), $332.77 million in FY2023 (+5.1%), $316.64 million in FY2022 (+14.2%) and $277.18 million in FY2021 (+95.3%).
- Quarterly Revenue has run from a low of $71.87 million in Q3 2021 to a high of $221.88 million in Q4 2024 over five years.
- On a year-over-year basis, Revenue increased in five of the last eight quarters, with growth averaging 56.4%.
- The strongest year-over-year quarter for Revenue in the past five years was Q3 2024, with growth of 152.3%; the weakest was Q3 2025, with a decline of 7.1%.
- According to Business Quant data, Revenue for the three prior quarters was $212.82 million (Q1 2026), $207.01 million (Q4 2025) and $180.2 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 9.32 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 3.35 Bn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 2.17 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 2.52 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 3.72 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.52 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 1.68 Bn |
| 10 | ONE Group Hospitality | 50.72 Mn | 24.09 Mn | - | 200.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 200.48 Mn |
| Mar 29, 2026 | 212.82 Mn |
| Dec 28, 2025 | 207.01 Mn |
| Sep 28, 2025 | 180.20 Mn |
| Jun 29, 2025 | 207.38 Mn |
| Mar 30, 2025 | 211.13 Mn |
| Dec 31, 2024 | 221.88 Mn |
| Sep 30, 2024 | 193.98 Mn |
| Jun 30, 2024 | 172.49 Mn |
| Mar 31, 2024 | 85.00 Mn |
| Dec 31, 2023 | 89.94 Mn |
| Sep 30, 2023 | 76.88 Mn |
| Jun 30, 2023 | 83.39 Mn |
| Mar 31, 2023 | 82.56 Mn |
| Dec 31, 2022 | 88.31 Mn |
| Sep 30, 2022 | 73.02 Mn |
| Jun 30, 2022 | 81.13 Mn |
| Mar 31, 2022 | 74.18 Mn |
| Dec 31, 2021 | 84.07 Mn |
| Sep 30, 2021 | 71.87 Mn |
ONE Group Hospitality Revenue 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=revenue&ticker=STKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=STKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();