Sweetgreen (SG) Return on Sales [ROS] (2021 - 2026)
Sweetgreen's Return on Sales [ROS] came in at -14.23% for Q2 2026, up 0.01 percentage points from -14.24% a year earlier and up 7.04 percentage points from the prior quarter.
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Analysis
Sweetgreen (SG) Return on Sales [ROS] (2021 - 2026) Analysis & Trends
Over the trailing twelve months to Jun 28, 2026, Sweetgreen reported Return on Sales [ROS] of -21.43%, down 5.76 percentage points year-over-year; for FY2025, it came in at -20.50%, down 6.36 percentage points from FY2024.
- Return on Sales [ROS] carries a five-year change of +43.68 percentage points (FY2020 to FY2025).
- Going back by year, Return on Sales [ROS] was -14.14% in FY2024 (+6.81 pp), -20.95% in FY2023 (+20.18 pp), -41.13% in FY2022 (-1.58 pp) and -39.54% in FY2021 (+24.64 pp).
- The Q2 2026 figure represents the highest quarterly Return on Sales [ROS] since Q3 2024.
- Year-over-year, Return on Sales [ROS] increased in two of the last eight quarters, with an average year-over-year change of -3.16 percentage points.
- The fastest year-over-year change in Return on Sales [ROS] over five years came in Q3 2023 (a gain of 25.41 percentage points), and the weakest in Q4 2025 (a drop of 11.45 percentage points).
- Business Quant data shows SG's Return on Sales [ROS] at -21.26% (Q1 2026), -30.98% (Q4 2025) and -21.04% (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | ROS (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 199.07 Bn | 195.11 Bn | 6.47 Bn | 50.23% |
| 2 | Starbucks | 125.34 Bn | 125.35 Bn | - | - |
| 3 | Chipotle Mexican Grill | 45.50 Bn | 42.00 Bn | - | 13.72% |
| 4 | Yum Brands | 42.97 Bn | 38.79 Bn | 1.38 Bn | 112.80% |
| 5 | Restaurant Brands International | 27.07 Bn | 24.44 Bn | 1.40 Bn | 27.56% |
| 6 | Darden Restaurants | 25.87 Bn | 24.97 Bn | 1.68 Bn | 9.98% |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 27.56% |
| 8 | Yum China Holdings | 16.86 Bn | 11.73 Bn | 652.00 Mn | 12.97% |
| 9 | Texas Roadhouse | 12.35 Bn | 11.68 Bn | 1.02 Bn | 6.55% |
| 10 | Sweetgreen | 1.58 Bn | 1.07 Bn | 18.32 Mn | -18.06% |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Sep 27, 2026 | -18.06% |
| Jun 28, 2026 | -14.23% |
| Mar 29, 2026 | -21.26% |
| Dec 28, 2025 | -30.98% |
| Sep 28, 2025 | -21.04% |
| Jun 29, 2025 | -14.24% |
| Mar 30, 2025 | -17.16% |
| Dec 29, 2024 | -19.53% |
| Sep 29, 2024 | -12.21% |
| Jun 30, 2024 | -8.77% |
| Mar 31, 2024 | -17.05% |
| Dec 31, 2023 | -19.14% |
| Sep 24, 2023 | -17.26% |
| Jun 25, 2023 | -20.49% |
| Mar 26, 2023 | -28.24% |
| Dec 25, 2022 | -40.24% |
| Sep 25, 2022 | -42.68% |
| Jun 26, 2022 | -34.16% |
| Mar 27, 2022 | -48.76% |
| Dec 26, 2021 | -49.55% |
API Access
Sweetgreen Return on Sales [ROS] 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=return-on-sales-%5Bros%5D&ticker=SG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "return-on-sales-[ros]", "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=return-on-sales-%5Bros%5D&ticker=SG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();