ONE Group Hospitality (STKS) Operating Leases (2019 - 2026)
ONE Group Hospitality (STKS) recorded Operating Leases of $306.26 million in Q2 2026, up 6.2% from $288.51 million a year earlier and up 3.9% from the prior quarter.
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Analysis
ONE Group Hospitality (STKS) Operating Leases (2019 - 2026) Analysis & Trends
At the end of FY2025, ONE Group Hospitality reported Operating Leases of $293.99 million, up 0.2% from FY2024.
- Annual Operating Leases has increased for six straight years, with a five-year compound annual growth rate of 24.4% (FY2020 to FY2025).
- Across earlier years, Operating Leases came in at $293.49 million in FY2024 (+143.6%), $120.48 million in FY2023 (+14.5%), $105.25 million in FY2022 (+1.6%) and $103.62 million in FY2021 (+5.1%).
- The Q2 2026 figure is the highest quarterly Operating Leases in data going back to Q1 2019.
- On a year-over-year basis, Operating Leases has increased for three consecutive quarters, with growth averaging 57.2% over the last eight quarters.
- Peak year-over-year performance for Operating Leases in the last five years was growth of 166.8% in Q2 2024, against a decline of 3.5% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $294.68 million (Q1 2026), $293.99 million (Q4 2025) and $285.91 million (Q3 2025).
Peer Set
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
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 306.26 Mn |
| Mar 29, 2026 | 294.68 Mn |
| Dec 28, 2025 | 293.99 Mn |
| Sep 28, 2025 | 285.91 Mn |
| Jun 29, 2025 | 288.51 Mn |
| Mar 30, 2025 | 289.78 Mn |
| Dec 31, 2024 | 293.49 Mn |
| Sep 30, 2024 | 296.16 Mn |
| Jun 30, 2024 | 294.17 Mn |
| Mar 31, 2024 | 113.19 Mn |
| Dec 31, 2023 | 120.48 Mn |
| Sep 30, 2023 | 116.00 Mn |
| Jun 30, 2023 | 110.25 Mn |
| Mar 31, 2023 | 107.46 Mn |
| Dec 31, 2022 | 105.25 Mn |
| Sep 30, 2022 | 105.04 Mn |
| Jun 30, 2022 | 104.46 Mn |
| Mar 31, 2022 | 105.87 Mn |
| Dec 31, 2021 | 103.62 Mn |
| Sep 30, 2021 | 102.31 Mn |
API Access
ONE Group Hospitality Operating Leases 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=operating-leases&ticker=STKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=STKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();