ONE Group Hospitality (STKS) Cash from Operations (2010 - 2026)
ONE Group Hospitality (STKS) recorded Cash from Operations of $11.3 million in Q2 2026, up 304.5% from $2.79 million a year earlier but down 47.9% from the prior quarter.
ONE Group Hospitality (STKS) Cash from Operations (2010 - 2026) Analysis & Trends
On a TTM basis, ONE Group Hospitality's Cash from Operations came in at $51.94 million as of Jun 28, 2026, up 6.1% year-over-year; for FY2025, it came in at $30.31 million, down 31.4% from FY2024.
- Annual Cash from Operations has a five-year compound annual growth rate of 134.1% (FY2020 to FY2025).
- Across earlier years, Cash from Operations came in at $44.19 million in FY2024 (+43.6%), $30.78 million in FY2023 (+21.9%), $25.25 million in FY2022 (-18.5%) and $30.97 million in FY2021.
- Quarterly Cash from Operations has ranged from -$3.82 million in Q2 2024 to $21.67 million in Q1 2026 over the past five years.
- On a year-over-year basis, Cash from Operations rose in four of the last seven quarters, with growth averaging 167.8%.
- Peak year-over-year performance for Cash from Operations in the last five years was growth of 813.7% in Q3 2024, against a decline of 69.2% in Q3 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $21.67 million (Q1 2026), $13.09 million (Q4 2025) and $5.89 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash from Ops. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 2.81 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 1.64 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 680.65 Mn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 507.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 530.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | 572.10 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 530.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | 426.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 180.15 Mn |
| 10 | ONE Group Hospitality | 50.72 Mn | 24.09 Mn | - | 11.30 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 11.30 Mn |
| Mar 29, 2026 | 21.67 Mn |
| Dec 28, 2025 | 13.09 Mn |
| Sep 28, 2025 | 5.89 Mn |
| Jun 29, 2025 | 2.79 Mn |
| Mar 30, 2025 | 8.54 Mn |
| Dec 31, 2024 | 18.52 Mn |
| Sep 30, 2024 | 19.11 Mn |
| Jun 30, 2024 | -3.82 Mn |
| Mar 31, 2024 | 10.38 Mn |
| Dec 31, 2023 | 15.55 Mn |
| Sep 30, 2023 | 2.09 Mn |
| Jun 30, 2023 | 6.52 Mn |
| Mar 31, 2023 | 6.62 Mn |
| Dec 31, 2022 | 8.92 Mn |
| Sep 30, 2022 | 1.39 Mn |
| Jun 30, 2022 | 5.12 Mn |
| Mar 31, 2022 | 9.82 Mn |
| Dec 31, 2021 | 7.94 Mn |
| Sep 30, 2021 | 3.19 Mn |
ONE Group Hospitality Cash from Operations 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-from-operations&ticker=STKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-from-operations", "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-from-operations&ticker=STKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();