ONE Group Hospitality (STKS) Change in Accured Expenses (2010 - 2026)
ONE Group Hospitality (STKS) posted Change in Accured Expenses of -$10.26 million for Q2 2026, compared with -$9.64 million a year earlier.
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Analysis
ONE Group Hospitality (STKS) Change in Accured Expenses (2010 - 2026) Analysis & Trends
For the trailing twelve months through Jun 28, 2026, Change in Accured Expenses at ONE Group Hospitality was -$6.93 million; for FY2025, it was -$4.94 million.
- In prior years, ONE Group Hospitality's Change in Accured Expenses was $16.05 million in FY2024 (+898.3%), $1.61 million in FY2023, -$4 million in FY2022 and $7.26 million in FY2021 (+62.5%).
- The Q2 2026 figure stands as the lowest quarterly Change in Accured Expenses in data going back to Q4 2010.
- On a year-over-year basis, Change in Accured Expenses increased in two of the last four quarters, with growth averaging 76.6%.
- According to Business Quant data, Change in Accured Expenses for the three prior quarters was -$1.09 million (Q1 2026), -$1.29 million (Q4 2025) and $5.7 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Change Accured Exp. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | - |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 100.69 Mn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 4.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | -8.00 Mn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | -51.80 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | -8.00 Mn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 107.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 15.18 Mn |
| 10 | ONE Group Hospitality | 49.45 Mn | 22.82 Mn | - | -10.26 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | -10.26 Mn |
| Mar 29, 2026 | -1.09 Mn |
| Dec 28, 2025 | -1.29 Mn |
| Sep 28, 2025 | 5.70 Mn |
| Jun 29, 2025 | -9.64 Mn |
| Mar 30, 2025 | 296,000.00 |
| Dec 31, 2024 | 4.54 Mn |
| Sep 30, 2024 | 15.52 Mn |
| Jun 30, 2024 | -8.44 Mn |
| Mar 31, 2024 | 4.43 Mn |
| Dec 31, 2023 | 3.68 Mn |
| Sep 30, 2023 | 2.88 Mn |
| Jun 30, 2023 | -783,000.00 |
| Mar 31, 2023 | -4.16 Mn |
| Dec 31, 2022 | 3.78 Mn |
| Sep 30, 2022 | -2.63 Mn |
| Jun 30, 2022 | -4.58 Mn |
| Mar 31, 2022 | -575,000.00 |
| Dec 31, 2021 | 1.81 Mn |
| Sep 30, 2021 | -2.14 Mn |
API Access
ONE Group Hospitality Change in Accured 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=change-in-accured-expenses&ticker=STKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "change-in-accured-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=change-in-accured-expenses&ticker=STKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();