ONE Group Hospitality (STKS) Total Liabilities (2010 - 2026)
ONE Group Hospitality (STKS) reported Total Liabilities of $981.81 million for Q2 2026, up 7.2% from $915.86 million a year earlier and up 2.0% from the prior quarter.
ONE Group Hospitality (STKS) Total Liabilities (2010 - 2026) Analysis & Trends
At the end of FY2025, ONE Group Hospitality posted Total Liabilities of $964.02 million, up 5.1% from FY2024.
- Total Liabilities has increased for four consecutive years, with a five-year compound annual growth rate of 37.9% (FY2020 to FY2025).
- By year, Total Liabilities came in at $916.83 million in FY2024 (+266.9%), $249.89 million in FY2023 (+12.3%), $222.43 million in FY2022 (+31.4%) and $169.31 million in FY2021 (-12.5%).
- The Q2 2026 figure ranks as the highest quarterly Total Liabilities in data going back to Q4 2010.
- Year over year, Total Liabilities has now increased in each of the last 16 quarters, with growth averaging 107.3% over the last eight quarters.
- The high point for year-over-year Total Liabilities in five years was Q2 2024 (growth of 298.0%); the low point was Q3 2021 (a decline of 14.4%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $962.54 million (Q1 2026), $964.02 million (Q4 2025) and $944.99 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 35.97 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | 6.66 Bn |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 15.79 Bn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 19.63 Bn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 10.65 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 19.63 Bn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 2.09 Bn |
| 10 | ONE Group Hospitality | 52.94 Mn | 26.31 Mn | - | 981.81 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 981.81 Mn |
| Mar 29, 2026 | 962.54 Mn |
| Dec 28, 2025 | 964.02 Mn |
| Sep 28, 2025 | 944.99 Mn |
| Jun 29, 2025 | 915.86 Mn |
| Mar 30, 2025 | 918.56 Mn |
| Dec 31, 2024 | 916.83 Mn |
| Sep 30, 2024 | 905.36 Mn |
| Jun 30, 2024 | 880.54 Mn |
| Mar 31, 2024 | 243.22 Mn |
| Dec 31, 2023 | 249.89 Mn |
| Sep 30, 2023 | 233.25 Mn |
| Jun 30, 2023 | 221.26 Mn |
| Mar 31, 2023 | 218.66 Mn |
| Dec 31, 2022 | 222.43 Mn |
| Sep 30, 2022 | 170.51 Mn |
| Jun 30, 2022 | 166.74 Mn |
| Mar 31, 2022 | 172.06 Mn |
| Dec 31, 2021 | 169.31 Mn |
| Sep 30, 2021 | 162.46 Mn |
ONE Group Hospitality Total Liabilities 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=total-liabilities&ticker=STKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=STKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();