ONE Group Hospitality (STKS) Accumulated Expenses (2009 - 2026)
ONE Group Hospitality (STKS) posted Accumulated Expenses of $38.49 million for Q2 2026, down 12.9% from $44.19 million a year earlier and down 14.3% from the prior quarter.
Powered by 
Analysis
ONE Group Hospitality (STKS) Accumulated Expenses (2009 - 2026) Analysis & Trends
At the end of FY2025, ONE Group Hospitality's Accumulated Expenses came in at $46.36 million, down 4.1% from FY2024.
- Annual Accumulated Expenses shows a five-year compound annual growth rate of 24.2% (FY2020 to FY2025).
- In prior years, ONE Group Hospitality's Accumulated Expenses was $48.34 million in FY2024 (+113.2%), $22.68 million in FY2023 (+1.2%), $22.41 million in FY2022 (-3.2%) and $23.16 million in FY2021 (+47.6%).
- The Q2 2026 figure stands as the lowest quarterly Accumulated Expenses since Q1 2024.
- On a year-over-year basis, Accumulated Expenses has declined in each of the last five quarters, with growth averaging 33.7% over the last eight quarters.
- The strongest year-over-year quarter for Accumulated Expenses in the past five years was Q2 2024, with growth of 187.1%; the weakest was Q3 2025, with a decline of 30.7%.
- According to Business Quant data, Accumulated Expenses for the three prior quarters was $44.91 million (Q1 2026), $46.36 million (Q4 2025) and $46.46 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn |
| 10 | ONE Group Hospitality | 31.30 Mn | 6.37 Mn | - |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 43.12 Mn |
| Jun 28, 2026 | 38.49 Mn |
| Mar 29, 2026 | 44.91 Mn |
| Dec 28, 2025 | 46.36 Mn |
| Sep 28, 2025 | 46.46 Mn |
| Jun 29, 2025 | 44.19 Mn |
| Mar 30, 2025 | 45.29 Mn |
| Dec 31, 2024 | 48.34 Mn |
| Sep 30, 2024 | 74.29 Mn |
| Jun 30, 2024 | 59.65 Mn |
| Mar 31, 2024 | 36.23 Mn |
| Dec 31, 2023 | 22.68 Mn |
| Sep 30, 2023 | 24.97 Mn |
| Jun 30, 2023 | 18.30 Mn |
| Mar 31, 2023 | 18.82 Mn |
| Dec 31, 2022 | 22.68 Mn |
| Sep 30, 2022 | 17.76 Mn |
| Jun 30, 2022 | 18.83 Mn |
| Mar 31, 2022 | 23.26 Mn |
| Dec 31, 2021 | 23.29 Mn |
API Access
ONE Group Hospitality Accumulated Expenses 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=accumulated-expenses&ticker=STKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "accumulated-expenses", "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=accumulated-expenses&ticker=STKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();