ONE Group Hospitality (STKS) EBITDA (2013 - 2026)
ONE Group Hospitality (STKS) posted EBITDA of $17.58 million for Q2 2026, up 52.4% from $11.53 million a year earlier but down 27.7% from the prior quarter.
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Analysis
ONE Group Hospitality (STKS) EBITDA (2013 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, EBITDA at ONE Group Hospitality was $60.98 million, down 0.6% year-over-year; for FY2025, it came in at $51.19 million, up 19.1% from FY2024.
- In prior years, ONE Group Hospitality's EBITDA was $42.99 million in FY2024 (+72.3%), $24.96 million in FY2023 (-12.2%), $28.44 million in FY2022 (-5.7%) and $30.18 million in FY2021.
- Quarterly EBITDA has run from a low of $1.78 million in Q3 2023 to a high of $24.3 million in Q1 2026 over five years.
- On a year-over-year basis, EBITDA increased in six of the last eight quarters, with growth averaging 92.1%.
- The strongest year-over-year quarter for EBITDA in the past five years was Q1 2025, with growth of 343.1%; the weakest was Q3 2022, with a decline of 55.2%.
- According to Business Quant data, EBITDA for the three prior quarters was $24.3 million (Q1 2026), $15.45 million (Q4 2025) and $3.66 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 1.37 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 623.92 Mn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 715.00 Mn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 793.00 Mn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 663.10 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 793.00 Mn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 201.13 Mn |
| 10 | ONE Group Hospitality | 52.94 Mn | 26.31 Mn | - | 17.58 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 17.58 Mn |
| Mar 29, 2026 | 24.30 Mn |
| Dec 28, 2025 | 15.45 Mn |
| Sep 28, 2025 | 3.66 Mn |
| Jun 29, 2025 | 11.53 Mn |
| Mar 30, 2025 | 20.56 Mn |
| Dec 31, 2024 | 23.51 Mn |
| Sep 30, 2024 | 5.77 Mn |
| Jun 30, 2024 | 9.08 Mn |
| Mar 31, 2024 | 4.64 Mn |
| Dec 31, 2023 | 9.70 Mn |
| Sep 30, 2023 | 1.78 Mn |
| Jun 30, 2023 | 5.55 Mn |
| Mar 31, 2023 | 7.93 Mn |
| Dec 31, 2022 | 9.42 Mn |
| Sep 30, 2022 | 3.42 Mn |
| Jun 30, 2022 | 8.68 Mn |
| Mar 31, 2022 | 6.92 Mn |
| Dec 31, 2021 | 8.74 Mn |
| Sep 30, 2021 | 7.63 Mn |
API Access
ONE Group Hospitality EBITDA 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=ebitda&ticker=STKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ebitda", "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=ebitda&ticker=STKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();