Sweetgreen (SG) Shares Outstanding (Diluted) (2020 - 2026)
Sweetgreen (SG) posted Weighted Average Shares Outstanding (Diluted) of 118.9 million for Q2 2026, up 0.9% from 117.83 million a year earlier but down 1.1% from the prior quarter.
Sweetgreen (SG) Shares Outstanding (Diluted) (2020 - 2026) Analysis & Trends
For FY2025, Sweetgreen's Weighted Average Shares Outstanding (Diluted) came in at 117.96 million, up 3.2% from FY2024.
- Annual Weighted Average Shares Outstanding (Diluted) has increased for five consecutive years, with a five-year compound annual growth rate of 49.0% (FY2020 to FY2025).
- In prior years, Sweetgreen's Weighted Average Shares Outstanding (Diluted) was 114.32 million in FY2024 (+2.2%), 111.91 million in FY2023 (+1.6%), 110.13 million in FY2022 (+296.4%) and 27.78 million in FY2021 (+73.1%).
- Quarterly Weighted Average Shares Outstanding (Diluted) has run from a low of 19.08 million in Q3 2021 to a high of 120.23 million in Q1 2026 over five years.
- On a year-over-year basis, Weighted Average Shares Outstanding (Diluted) has increased in each of the last 18 quarters, with growth averaging 2.7% over the last eight quarters.
- Over the past five years, the year-over-year growth in Weighted Average Shares Outstanding (Diluted) ranged from 0.9% (Q2 2026) to 545.4% (Q1 2022).
- According to Business Quant data, Weighted Average Shares Outstanding (Diluted) for the three prior quarters was 120.23 million (Q1 2026), 117.96 million (Q4 2025) and 118.28 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Dil.) (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | 708.30 Mn |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | 1.14 Bn |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 1.27 Bn |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 274.00 Mn |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 457.00 Mn |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | 114.40 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 335.00 Mn |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | 343.00 Mn |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | 65.79 Mn |
| 10 | Sweetgreen | 1.58 Bn | 1.07 Bn | 18.32 Mn | 119.11 Mn |
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | 119.11 Mn |
| Jun 28, 2026 | 118.90 Mn |
| Mar 29, 2026 | 120.23 Mn |
| Dec 28, 2025 | 117.96 Mn |
| Sep 28, 2025 | 118.28 Mn |
| Jun 29, 2025 | 117.83 Mn |
| Mar 30, 2025 | 117.31 Mn |
| Dec 29, 2024 | 114.32 Mn |
| Sep 29, 2024 | 114.75 Mn |
| Jun 30, 2024 | 113.58 Mn |
| Mar 31, 2024 | 112.77 Mn |
| Dec 31, 2023 | 111.91 Mn |
| Sep 24, 2023 | 112.18 Mn |
| Jun 25, 2023 | 111.59 Mn |
| Mar 26, 2023 | 111.30 Mn |
| Dec 25, 2022 | 110.13 Mn |
| Sep 25, 2022 | 110.38 Mn |
| Jun 26, 2022 | 109.68 Mn |
| Mar 27, 2022 | 109.47 Mn |
| Dec 26, 2021 | 27.78 Mn |
Sweetgreen 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=SG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding-diluted", "ticker": "SG", "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=SG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();