ONE Group Hospitality (STKS) Enterprise Value (2014 - 2026)
ONE Group Hospitality (STKS) posted Enterprise Value of $52.29 million for Q2 2026, down 56.5% from $120.25 million a year earlier but up 16.7% from the prior quarter.
ONE Group Hospitality (STKS) Enterprise Value (2014 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Enterprise Value at ONE Group Hospitality was $36.45 million, down 15.4% year-over-year; for FY2025, it was $48.08 million, down 19.6% from FY2024.
- Annual Enterprise Value shows a five-year compound annual growth rate of -10.1% (FY2020 to FY2025).
- In prior years, ONE Group Hospitality's Enterprise Value was $59.79 million in FY2024 (-64.5%), $168.59 million in FY2023 (+17.3%), $143.69 million in FY2022 (-62.2%) and $380.58 million in FY2021 (+364.0%).
- Quarterly Enterprise Value has run from a low of $44.81 million in Q1 2026 to a high of $380.58 million in Q4 2021 over five years.
- On a year-over-year basis, Enterprise Value has declined in each of the last four quarters, with an average decline of 34.1% over the last eight quarters.
- The strongest year-over-year quarter for Enterprise Value in the past five years was Q3 2021, with growth of 962.9%; the weakest was Q4 2024, with a decline of 64.5%.
- According to Business Quant data, Enterprise Value for the three prior quarters was $44.81 million (Q1 2026), $48.08 million (Q4 2025) and $66.96 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - |
| 10 | ONE Group Hospitality | 52.94 Mn | 26.31 Mn | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 52.29 Mn |
| Mar 29, 2026 | 44.81 Mn |
| Dec 28, 2025 | 48.08 Mn |
| Sep 28, 2025 | 66.96 Mn |
| Jun 29, 2025 | 120.25 Mn |
| Mar 30, 2025 | 68.40 Mn |
| Dec 31, 2024 | 59.79 Mn |
| Sep 30, 2024 | 82.66 Mn |
| Jun 30, 2024 | 98.43 Mn |
| Mar 31, 2024 | 156.84 Mn |
| Dec 31, 2023 | 168.59 Mn |
| Sep 30, 2023 | 148.16 Mn |
| Jun 30, 2023 | 191.74 Mn |
| Mar 31, 2023 | 208.14 Mn |
| Dec 31, 2022 | 143.69 Mn |
| Sep 30, 2022 | 195.52 Mn |
| Jun 30, 2022 | 215.29 Mn |
| Mar 31, 2022 | 309.35 Mn |
| Dec 31, 2021 | 380.58 Mn |
| Sep 30, 2021 | 323.19 Mn |
ONE Group Hospitality Enterprise Value 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=enterprise-value&ticker=STKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "enterprise-value", "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=enterprise-value&ticker=STKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();