Sweetgreen (SG) Shares Outstanding (2021 - 2026)
Sweetgreen (SG) recorded Weighted Average Shares Outstanding of 118.9 million in Q2 2026, up 0.9% from 117.83 million a year earlier and up 0.2% from the prior quarter.
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Analysis
Sweetgreen (SG) Shares Outstanding (2021 - 2026) Analysis & Trends
For FY2025, Sweetgreen reported Weighted Average Shares Outstanding of 117.96 million, up 3.2% from FY2024.
- Annual Weighted Average Shares Outstanding has increased for five straight years, with a five-year compound annual growth rate of 49.0% (FY2020 to FY2025).
- Across earlier years, Weighted Average Shares Outstanding came in at 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%).
- The Q2 2026 figure is the highest quarterly Weighted Average Shares Outstanding in data going back to Q1 2021.
- On a year-over-year basis, Weighted Average Shares Outstanding has increased for 18 consecutive quarters, with growth averaging 2.6% over the last eight quarters.
- The year-over-year growth in Weighted Average Shares Outstanding has ranged between 0.9% (Q2 2026) and 545.4% (Q1 2022) over the last five years.
- Per Business Quant, the preceding three quarters came in at 118.66 million (Q1 2026), 117.96 million (Q4 2025) and 118.28 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Shares Outstanding (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.08 Bn | 192.90 Bn | 6.42 Bn | 709.10 Mn |
| 2 | Starbucks | 123.34 Bn | 110.96 Bn | - | 1.14 Bn |
| 3 | Chipotle Mexican Grill | 45.28 Bn | 41.78 Bn | - | 1.27 Bn |
| 4 | Yum Brands | 43.42 Bn | 40.31 Bn | 1.47 Bn | 275.00 Mn |
| 5 | Restaurant Brands International | 26.75 Bn | 22.54 Bn | 1.40 Bn | 349.00 Mn |
| 6 | Darden Restaurants | 25.71 Bn | 24.80 Bn | 1.68 Bn | 113.60 Mn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 335.00 Mn |
| 8 | Yum China Holdings | 17.17 Bn | 10.82 Bn | 537.00 Mn | 348.00 Mn |
| 9 | Texas Roadhouse | 12.34 Bn | 11.68 Bn | - | 65.70 Mn |
| 10 | Sweetgreen | 1.63 Bn | 1.11 Bn | 25.18 Mn | 118.90 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 118.90 Mn |
| Mar 29, 2026 | 118.66 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 |
API Access
Sweetgreen Shares Outstanding 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&ticker=SG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "shares-outstanding", "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&ticker=SG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();