Sweetgreen (SG) Cost of Revenue (2021 - 2026)
Sweetgreen (SG) reported Cost of Revenue of $167.49 million for Q2 2026, up 11.3% from $150.46 million a year earlier and up 15.3% from the prior quarter.
Sweetgreen (SG) Cost of Revenue (2021 - 2026) Analysis & Trends
Over the twelve months ended Jun 28, 2026, Sweetgreen's Cost of Revenue came in at $601.67 million, up 7.7% year-over-year; for FY2025, it was $575.94 million, up 5.9% from FY2024.
- Cost of Revenue has increased for five consecutive years, with a five-year compound annual growth rate of 20.2% (FY2020 to FY2025).
- By year, Cost of Revenue came in at $543.88 million in FY2024 (+12.8%), $482.12 million in FY2023 (+20.3%), $400.82 million in FY2022 (+33.8%) and $299.47 million in FY2021 (+30.6%).
- The Q2 2026 figure ranks as the highest quarterly Cost of Revenue in data going back to Q1 2021.
- Year over year, Cost of Revenue has now increased in each of the last 18 quarters, with growth averaging 7.0% over the last eight quarters.
- The year-over-year growth in Cost of Revenue has ranged between 3.7% (Q4 2024) and 50.4% (Q1 2022) over the last five years.
- Per Business Quant data, the three quarters before Q2 2026 came in at $145.32 million (Q1 2026), $138.99 million (Q4 2025) and $149.88 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cost of Rev (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn | 680.00 Mn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn | 700.00 Mn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn | 1.14 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn | 1.52 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.14 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn | 2.60 Bn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - | - |
| 10 | Sweetgreen | 1.08 Bn | 564.63 Mn | 25.18 Mn | 167.49 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 167.49 Mn |
| Mar 29, 2026 | 145.32 Mn |
| Dec 28, 2025 | 138.99 Mn |
| Sep 28, 2025 | 149.88 Mn |
| Jun 29, 2025 | 150.46 Mn |
| Mar 30, 2025 | 136.62 Mn |
| Dec 29, 2024 | 132.95 Mn |
| Sep 29, 2024 | 138.49 Mn |
| Jun 30, 2024 | 143.12 Mn |
| Mar 31, 2024 | 129.31 Mn |
| Dec 31, 2023 | 128.25 Mn |
| Sep 24, 2023 | 124.32 Mn |
| Jun 25, 2023 | 121.44 Mn |
| Mar 26, 2023 | 108.13 Mn |
| Dec 25, 2022 | 105.75 Mn |
| Sep 25, 2022 | 104.10 Mn |
| Jun 26, 2022 | 101.78 Mn |
| Mar 27, 2022 | 89.20 Mn |
| Dec 26, 2021 | 84.08 Mn |
| Sep 26, 2021 | 82.71 Mn |
Sweetgreen Cost of 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=cost-of-revenue&ticker=SG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cost-of-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=cost-of-revenue&ticker=SG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();