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.
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 Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | EBITDA (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.41 Bn | 169.23 Bn | 6.42 Bn | 3.90 Bn |
| 2 | Starbucks | 112.93 Bn | 100.55 Bn | - | 1.37 Bn |
| 3 | Yum Brands | 41.62 Bn | 38.50 Bn | 1.47 Bn | 715.00 Mn |
| 4 | Chipotle Mexican Grill | 35.98 Bn | 31.96 Bn | - | 623.92 Mn |
| 5 | Restaurant Brands International | 25.83 Bn | 21.38 Bn | 1.38 Bn | 799.00 Mn |
| 6 | Darden Restaurants | 24.40 Bn | 23.49 Bn | 1.68 Bn | 463.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 799.00 Mn |
| 8 | Yum China Holdings | 15.50 Bn | 9.16 Bn | 537.00 Mn | 468.00 Mn |
| 9 | Texas Roadhouse | 11.02 Bn | 10.36 Bn | - | 201.13 Mn |
| 10 | ONE Group Hospitality | 37.66 Mn | 15.46 Mn | - | 18.48 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 18.48 Mn |
| Mar 29, 2026 | 25.20 Mn |
| Dec 28, 2025 | 16.35 Mn |
| Sep 28, 2025 | 4.56 Mn |
| Jun 29, 2025 | 12.43 Mn |
| Mar 30, 2025 | 21.43 Mn |
| Dec 31, 2024 | 24.42 Mn |
| Sep 30, 2024 | 6.69 Mn |
| Jun 30, 2024 | 9.70 Mn |
| Mar 31, 2024 | 4.83 Mn |
| Dec 31, 2023 | 9.88 Mn |
| Sep 30, 2023 | 1.96 Mn |
| Jun 30, 2023 | 5.74 Mn |
| Mar 31, 2023 | 8.12 Mn |
| Dec 31, 2022 | 9.52 Mn |
| Sep 30, 2022 | 3.51 Mn |
| Jun 30, 2022 | 8.77 Mn |
| Mar 31, 2022 | 7.01 Mn |
| Dec 31, 2021 | 8.83 Mn |
| Sep 30, 2021 | 7.69 Mn |
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_KEY
import 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();