Sweetgreen (SG) Shares Outstanding (Diluted) (2021 - 2026)
Sweetgreen (SG) posted 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) (2021 - 2026) Analysis & Trends
For FY2025, Sweetgreen's Shares Outstanding (Diluted) came in at 117.96 million, up 3.2% from FY2024.
- Annual 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 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 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, 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 Shares Outstanding (Diluted) ranged from 0.9% (Q2 2026) to 545.4% (Q1 2022).
- According to Business Quant data, 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 | 163.51 Bn | 158.34 Bn | 6.42 Bn | 711.10 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 1.14 Bn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | 1.28 Bn |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | 277.00 Mn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | 460.00 Mn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 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 | 14.18 Bn | 8.54 Bn | 537.00 Mn | 349.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | 65.92 Mn |
| 10 | Sweetgreen | 1.06 Bn | 539.63 Mn | 25.18 Mn | 118.90 Mn |
Historic Data
| Date | Value |
|---|---|
| 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 |
| Sep 26, 2021 | 19.08 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();