ONE Group Hospitality (STKS) Shares Outstanding (Diluted) (2013 - 2026)
ONE Group Hospitality's Shares Outstanding (Diluted) was 33.47 million in Q2 2026, up 8.2% from 30.94 million a year earlier and up 7.0% from the prior quarter.
ONE Group Hospitality (STKS) Shares Outstanding (Diluted) (2013 - 2026) Analysis & Trends
For FY2025, Shares Outstanding (Diluted) at ONE Group Hospitality came in at 31.02 million, down 0.4% from FY2024.
- Shares Outstanding (Diluted) has now declined for three consecutive years, though with a five-year compound annual growth rate of 1.4% (FY2020 to FY2025).
- In earlier years, Shares Outstanding (Diluted) was 31.15 million in FY2024 (-3.5%), 32.29 million in FY2023 (-4.7%), 33.87 million in FY2022 (+0.2%) and 33.79 million in FY2021 (+16.9%).
- The Q2 2026 figure marks the highest quarterly Shares Outstanding (Diluted) since Q4 2022.
- Compared with a year earlier, Shares Outstanding (Diluted) was higher in two of the last eight quarters, with growth averaging 0.1%.
- The best year-over-year quarter for Shares Outstanding (Diluted) over five years was Q3 2021 (growth of 18.5%); the worst was Q3 2023 (a decline of 7.1%).
- Per Business Quant data, STKS's Shares Outstanding (Diluted) in the three quarters before Q2 2026 was 31.28 million (Q1 2026), 31.02 million (Q4 2025) and 30.97 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | 711.10 Mn |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | 1.14 Bn |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | 1.28 Bn |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | 277.00 Mn |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn | 460.00 Mn |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn | 116.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 336.00 Mn |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn | 349.00 Mn |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | 65.92 Mn |
| 10 | ONE Group Hospitality | 48.82 Mn | 22.19 Mn | - | 33.47 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 33.47 Mn |
| Mar 29, 2026 | 31.28 Mn |
| Dec 28, 2025 | 31.02 Mn |
| Sep 28, 2025 | 30.97 Mn |
| Jun 29, 2025 | 30.94 Mn |
| Mar 30, 2025 | 31.05 Mn |
| Dec 31, 2024 | 31.15 Mn |
| Sep 30, 2024 | 31.01 Mn |
| Jun 30, 2024 | 31.42 Mn |
| Mar 31, 2024 | 31.31 Mn |
| Dec 31, 2023 | 32.29 Mn |
| Sep 30, 2023 | 31.52 Mn |
| Jun 30, 2023 | 32.67 Mn |
| Mar 31, 2023 | 33.00 Mn |
| Dec 31, 2022 | 33.87 Mn |
| Sep 30, 2022 | 33.92 Mn |
| Jun 30, 2022 | 33.96 Mn |
| Mar 31, 2022 | 34.25 Mn |
| Dec 31, 2021 | 33.79 Mn |
| Sep 30, 2021 | 34.38 Mn |
ONE Group Hospitality Shares Outstanding (Diluted) 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=shares-outstanding-diluted&ticker=STKS&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "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=shares-outstanding-diluted&ticker=STKS&period=max&api_key=YOUR_API_KEY");
const data = await res.json();