ONE Group Hospitality (STKS) EV to FCF (2017 - 2026)
ONE Group Hospitality's (STKS) EV to FCF came in at 14.97 for Q2 2026.
Analysis
ONE Group Hospitality (STKS) EV to FCF (2017 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, EV to FCF at ONE Group Hospitality was 10.44; for FY2021, it was 19.52.
- In prior years, ONE Group Hospitality's EV to FCF was 22.83 in FY2019 (-37.0%), 36.24 in FY2018 (-20.1%) and 45.33 in FY2017.
- The Q2 2026 figure stands as the highest quarterly EV to FCF in data going back to Q4 2017.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - |
| 10 | ONE Group Hospitality | 50.72 Mn | 24.09 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 14.97 |
| Jun 30, 2022 | 27.32 |
| Mar 31, 2022 | 15.09 |
| Dec 31, 2021 | 19.52 |
| Sep 30, 2021 | 25.06 |
| Jun 30, 2021 | 19.62 |
| Mar 31, 2021 | 65.88 |
| Sep 30, 2020 | 25.36 |
| Dec 31, 2019 | 22.83 |
| Sep 30, 2019 | 47.26 |
| Jun 30, 2019 | 77.53 |
| Mar 31, 2019 | 28.08 |
| Dec 31, 2018 | 36.24 |
| Jun 30, 2018 | 72.54 |
| Mar 31, 2018 | 41.60 |
| Dec 31, 2017 | 45.33 |
API Access
ONE Group Hospitality EV to FCF 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=ev-to-fcf&ticker=STKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "ev-to-fcf", "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=ev-to-fcf&ticker=STKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();