Sweetgreen (SG) Revenue (2021 - 2026)
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Analysis
Sweetgreen (SG) Revenue (2021 - 2026) Analysis & Trends
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Revenue (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.08 Bn | 192.90 Bn | 6.42 Bn | 7.10 Bn |
| 2 | Starbucks | 123.34 Bn | 110.96 Bn | - | 9.32 Bn |
| 3 | Chipotle Mexican Grill | 45.28 Bn | 41.78 Bn | - | 3.29 Bn |
| 4 | Yum Brands | 43.42 Bn | 40.31 Bn | 1.47 Bn | 2.17 Bn |
| 5 | Restaurant Brands International | 26.75 Bn | 22.54 Bn | 1.40 Bn | 2.53 Bn |
| 6 | Darden Restaurants | 25.71 Bn | 24.80 Bn | 1.68 Bn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 2.53 Bn |
| 8 | Yum China Holdings | 17.17 Bn | 10.82 Bn | 537.00 Mn | 3.14 Bn |
| 9 | Texas Roadhouse | 12.34 Bn | 11.68 Bn | - | 1.68 Bn |
| 10 | Sweetgreen | 1.63 Bn | 1.11 Bn | 25.18 Mn | 192.66 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 192.66 Mn |
| Mar 29, 2026 | 161.52 Mn |
| Dec 28, 2025 | 155.19 Mn |
| Sep 28, 2025 | 172.39 Mn |
| Jun 29, 2025 | 185.58 Mn |
| Mar 30, 2025 | 166.30 Mn |
| Dec 29, 2024 | 160.90 Mn |
| Sep 29, 2024 | 173.43 Mn |
| Jun 30, 2024 | 184.64 Mn |
| Mar 31, 2024 | 157.85 Mn |
| Dec 31, 2023 | 153.03 Mn |
| Sep 24, 2023 | 153.43 Mn |
| Jun 25, 2023 | 152.53 Mn |
| Mar 26, 2023 | 125.06 Mn |
| Dec 25, 2022 | 118.57 Mn |
| Sep 25, 2022 | 124.03 Mn |
| Jun 26, 2022 | 124.92 Mn |
| Mar 27, 2022 | 102.59 Mn |
| Dec 26, 2021 | 96.43 Mn |
| Sep 26, 2021 | 95.84 Mn |
API Access
Sweetgreen Revenue 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=revenue&ticker=SG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "revenue", "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=revenue&ticker=SG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();