ONE Group Hospitality (STKS) Total Non-Current Liabilities (2012 - 2026)
ONE Group Hospitality's Total Non-Current Liabilities was $975.33 million in Q2 2026, up 7.1% from $910.88 million a year earlier and up 2.0% from the prior quarter.
ONE Group Hospitality (STKS) Total Non-Current Liabilities (2012 - 2026) Analysis & Trends
At the end of FY2025, Total Non-Current Liabilities at ONE Group Hospitality came in at $957.7 million, up 5.1% from FY2024.
- Total Non-Current Liabilities has now increased for four consecutive years, with a four-year compound annual growth rate of 54.3% (FY2021 to FY2025).
- In earlier years, Total Non-Current Liabilities was $911.08 million in FY2024 (+265.8%), $249.05 million in FY2023 (+12.5%), $221.46 million in FY2022 (+31.0%) and $169.01 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Total Non-Current Liabilities in data going back to Q4 2012.
- Compared with a year earlier, Total Non-Current Liabilities has increased for 11 straight quarters, with growth averaging 106.9% over the last eight quarters.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 4.1% (Q2 2025) and 297.3% (Q2 2024) over the last five years.
- Per Business Quant data, STKS's Total Non-Current Liabilities in the three quarters before Q2 2026 was $956.32 million (Q1 2026), $957.7 million (Q4 2025) and $940.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 174.41 Bn | 169.23 Bn | 6.42 Bn | 60.09 Bn |
| 2 | Starbucks | 112.93 Bn | 100.55 Bn | - | - |
| 3 | Yum Brands | 41.62 Bn | 38.50 Bn | 1.47 Bn | 13.75 Bn |
| 4 | Chipotle Mexican Grill | 35.98 Bn | 31.96 Bn | - | 6.58 Bn |
| 5 | Restaurant Brands International | 25.83 Bn | 21.38 Bn | 1.38 Bn | 18.73 Bn |
| 6 | Darden Restaurants | 24.40 Bn | 23.49 Bn | 1.68 Bn | 9.21 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 18.73 Bn |
| 8 | Yum China Holdings | 15.50 Bn | 9.16 Bn | 537.00 Mn | 4.65 Bn |
| 9 | Texas Roadhouse | 11.02 Bn | 10.36 Bn | - | 1.88 Bn |
| 10 | ONE Group Hospitality | 37.66 Mn | 15.46 Mn | - | 975.33 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 975.33 Mn |
| Mar 29, 2026 | 956.32 Mn |
| Dec 28, 2025 | 957.70 Mn |
| Sep 28, 2025 | 940.09 Mn |
| Jun 29, 2025 | 910.88 Mn |
| Mar 30, 2025 | 912.88 Mn |
| Dec 31, 2024 | 911.08 Mn |
| Sep 30, 2024 | 900.11 Mn |
| Jun 30, 2024 | 875.42 Mn |
| Mar 31, 2024 | 242.45 Mn |
| Dec 31, 2023 | 249.05 Mn |
| Sep 30, 2023 | 232.35 Mn |
| Jun 30, 2023 | 220.37 Mn |
| Mar 31, 2023 | 217.71 Mn |
| Dec 31, 2022 | 221.46 Mn |
| Dec 31, 2021 | 169.01 Mn |
| Mar 31, 2019 | 192.00 Mn |
| Dec 31, 2018 | 25.49 Mn |
| Sep 30, 2018 | 26.65 Mn |
| Jun 30, 2018 | 26.33 Mn |
ONE Group Hospitality Total Non-Current 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-non-current-liabilities&ticker=STKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-current-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-non-current-liabilities&ticker=STKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();