ONE Group Hospitality (STKS) Cash & Equivalents (2010 - 2026)
ONE Group Hospitality (STKS) recorded Cash & Equivalents of $6.36 million in Q2 2026, up 36.5% from $4.66 million a year earlier and up 4.0% from the prior quarter.
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Analysis
ONE Group Hospitality (STKS) Cash & Equivalents (2010 - 2026) Analysis & Trends
At the end of FY2025, ONE Group Hospitality reported Cash & Equivalents of $4.17 million, down 84.9% from FY2024.
- Annual Cash & Equivalents has a five-year compound annual growth rate of -29.8% (FY2020 to FY2025).
- Across earlier years, Cash & Equivalents came in at $27.58 million in FY2024 (+31.0%), $21.05 million in FY2023 (-61.8%), $55.12 million in FY2022 (+133.4%) and $23.61 million in FY2021 (-3.2%).
- The Q2 2026 figure is the highest quarterly Cash & Equivalents since Q1 2025.
- On a year-over-year basis, Cash & Equivalents rose in four of the last eight quarters, with an average decline of 23.5%.
- Peak year-over-year performance for Cash & Equivalents in the last five years was growth of 133.4% in Q4 2022, against a decline of 85.5% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $6.12 million (Q1 2026), $4.17 million (Q4 2025) and $5.55 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | 3.45 Bn |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | 228.20 Mn |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 674.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 220.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | 202.43 Mn |
| 10 | ONE Group Hospitality | 49.45 Mn | 22.82 Mn | - | 6.36 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 6.36 Mn |
| Mar 29, 2026 | 6.12 Mn |
| Dec 28, 2025 | 4.17 Mn |
| Sep 28, 2025 | 5.55 Mn |
| Jun 29, 2025 | 4.66 Mn |
| Mar 30, 2025 | 21.42 Mn |
| Dec 31, 2024 | 27.58 Mn |
| Sep 30, 2024 | 28.19 Mn |
| Jun 30, 2024 | 32.25 Mn |
| Mar 31, 2024 | 15.37 Mn |
| Dec 31, 2023 | 21.05 Mn |
| Sep 30, 2023 | 22.14 Mn |
| Jun 30, 2023 | 38.18 Mn |
| Mar 31, 2023 | 48.70 Mn |
| Dec 31, 2022 | 55.12 Mn |
| Sep 30, 2022 | 17.48 Mn |
| Jun 30, 2022 | 24.42 Mn |
| Mar 31, 2022 | 28.64 Mn |
| Dec 31, 2021 | 23.61 Mn |
| Sep 30, 2021 | 19.08 Mn |
API Access
ONE Group Hospitality Cash & Equivalents 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=cash-and-equivalents&ticker=STKS&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=STKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();