ONE Group Hospitality (STKS) Total Debt (2010 - 2026)
ONE Group Hospitality (STKS) recorded Total Debt of $338.43 million in Q2 2026, up 1.0% from $334.93 million a year earlier and up 1.0% from the prior quarter.
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Analysis
ONE Group Hospitality (STKS) Total Debt (2010 - 2026) Analysis & Trends
At the end of FY2025, ONE Group Hospitality reported Total Debt of $343.32 million, up 2.7% from FY2024.
- Annual Total Debt has a five-year compound annual growth rate of 49.7% (FY2020 to FY2025).
- Across earlier years, Total Debt came in at $334.24 million in FY2024 (+364.8%), $71.91 million in FY2023 (-0.2%), $72.04 million in FY2022 (+204.9%) and $23.63 million in FY2021 (-48.2%).
- Quarterly Total Debt has ranged from $23.5 million in Q2 2022 to $343.35 million in Q3 2025 over the past five years.
- On a year-over-year basis, Total Debt rose in seven of the last eight quarters, with growth averaging 137.4%.
- Peak year-over-year performance for Total Debt in the last five years was growth of 364.9% in Q1 2025, against a decline of 48.4% in Q2 2022 at the low end.
- Per Business Quant, the preceding three quarters came in at $335.01 million (Q1 2026), $343.32 million (Q4 2025) and $343.35 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.31 Bn | 160.13 Bn | 6.42 Bn | 39.86 Bn |
| 2 | Starbucks | 108.61 Bn | 96.24 Bn | - | 13.28 Bn |
| 3 | Chipotle Mexican Grill | 40.32 Bn | 36.30 Bn | - | - |
| 4 | Yum Brands | 37.73 Bn | 34.61 Bn | 1.47 Bn | 12.28 Bn |
| 5 | Restaurant Brands International | 24.95 Bn | 22.05 Bn | 1.38 Bn | 13.29 Bn |
| 6 | Darden Restaurants | 22.46 Bn | 21.57 Bn | -113.70 Mn | 693.60 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 13.29 Bn |
| 8 | Yum China Holdings | 14.17 Bn | 8.53 Bn | 537.00 Mn | 66.00 Mn |
| 9 | Texas Roadhouse | 10.39 Bn | 9.75 Bn | - | 50.00 Mn |
| 10 | ONE Group Hospitality | 52.94 Mn | 26.31 Mn | - | 338.43 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 338.43 Mn |
| Mar 29, 2026 | 335.01 Mn |
| Dec 28, 2025 | 343.32 Mn |
| Sep 28, 2025 | 343.35 Mn |
| Jun 29, 2025 | 334.93 Mn |
| Mar 30, 2025 | 335.01 Mn |
| Dec 31, 2024 | 334.24 Mn |
| Sep 30, 2024 | 334.30 Mn |
| Jun 30, 2024 | 334.36 Mn |
| Mar 31, 2024 | 72.06 Mn |
| Dec 31, 2023 | 71.91 Mn |
| Sep 30, 2023 | 72.26 Mn |
| Jun 30, 2023 | 72.10 Mn |
| Mar 31, 2023 | 72.07 Mn |
| Dec 31, 2022 | 72.04 Mn |
| Sep 30, 2022 | 28.44 Mn |
| Jun 30, 2022 | 23.50 Mn |
| Mar 31, 2022 | 23.57 Mn |
| Dec 31, 2021 | 23.63 Mn |
| Sep 30, 2021 | 23.70 Mn |
API Access
ONE Group Hospitality Total Debt 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-debt&ticker=STKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-debt", "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-debt&ticker=STKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();