Sweetgreen (SG) Selling, General & Administrative (2021 - 2026)
Sweetgreen's Selling, General & Administrative was $29.71 million in Q2 2026, down 13.9% from $34.51 million a year earlier but up 1.5% from the prior quarter.
Sweetgreen (SG) Selling, General & Administrative (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sweetgreen's Selling, General & Administrative was $129.54 million through Jun 28, 2026, down 11.7% year-over-year; for FY2025, it was $143.4 million, down 4.4% from FY2024.
- Selling, General & Administrative shows a five-year compound annual growth rate of 7.7% (FY2020 to FY2025).
- In earlier years, Selling, General & Administrative was $149.94 million in FY2024 (+2.2%), $146.76 million in FY2023 (-21.7%), $187.37 million in FY2022 (+49.8%) and $125.04 million in FY2021 (+26.1%).
- Quarterly Selling, General & Administrative has moved between $28.94 million (Q3 2021) and $51.8 million (Q2 2022) over five years.
- Compared with a year earlier, Selling, General & Administrative was higher in four of the last eight quarters, with an average decline of 6.0%.
- The best year-over-year quarter for Selling, General & Administrative over five years was Q1 2022 (growth of 114.7%); the worst was Q1 2023 (a decline of 30.5%).
- Per Business Quant data, SG's Selling, General & Administrative in the three quarters before Q2 2026 was $29.27 million (Q1 2026), $39.66 million (Q4 2025) and $30.9 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | SG&A (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | 817.00 Mn |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | 598.80 Mn |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | 190.47 Mn |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | 324.00 Mn |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn | 181.00 Mn |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn | 139.00 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 181.00 Mn |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn | 139.00 Mn |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | 72.41 Mn |
| 10 | Sweetgreen | 1.03 Bn | 514.63 Mn | 25.18 Mn | 29.71 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 29.71 Mn |
| Mar 29, 2026 | 29.27 Mn |
| Dec 28, 2025 | 39.66 Mn |
| Sep 28, 2025 | 30.90 Mn |
| Jun 29, 2025 | 34.51 Mn |
| Mar 30, 2025 | 38.34 Mn |
| Dec 29, 2024 | 37.10 Mn |
| Sep 29, 2024 | 36.78 Mn |
| Jun 30, 2024 | 39.20 Mn |
| Mar 31, 2024 | 36.87 Mn |
| Dec 31, 2023 | 35.54 Mn |
| Sep 24, 2023 | 35.96 Mn |
| Jun 25, 2023 | 40.35 Mn |
| Mar 26, 2023 | 34.91 Mn |
| Dec 25, 2022 | 43.47 Mn |
| Sep 25, 2022 | 41.90 Mn |
| Jun 26, 2022 | 51.80 Mn |
| Mar 27, 2022 | 50.20 Mn |
| Dec 26, 2021 | 46.65 Mn |
| Sep 26, 2021 | 28.94 Mn |
Sweetgreen Selling, General & Administrative 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=selling-general-and-administrative&ticker=SG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "selling-general-and-administrative", "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=selling-general-and-administrative&ticker=SG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();