Sweetgreen (SG) Operating Leases (2022 - 2026)
Sweetgreen (SG) reported Operating Leases of $313.07 million for Q2 2026, up 4.8% from $298.78 million a year earlier but down 0.3% from the prior quarter.
Sweetgreen (SG) Operating Leases (2022 - 2026) Analysis & Trends
At the end of FY2025, Sweetgreen posted Operating Leases of $312.9 million, up 8.3% from FY2024.
- Operating Leases has increased for three consecutive years, with a three-year compound annual growth rate of 4.9% (FY2022 to FY2025).
- By year, Operating Leases came in at $288.94 million in FY2024 (+6.4%), $271.44 million in FY2023 (+0.1%) and $271.1 million in FY2022.
- Five-year quarterly Operating Leases spans a low of $271.1 million in Q4 2022 and a high of $314.74 million in Q3 2025.
- Year over year, Operating Leases has now increased in each of the last nine quarters, with growth averaging 7.2% over the last eight quarters.
- The high point for year-over-year Operating Leases in five years was Q3 2025 (growth of 12.5%); the low point was Q1 2024 (a decline of 0.9%).
- Per Business Quant data, the three quarters before Q2 2026 came in at $313.87 million (Q1 2026), $312.9 million (Q4 2025) and $314.74 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - |
| 10 | Sweetgreen | 1.04 Bn | 521.78 Mn | 25.18 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 313.07 Mn |
| Mar 29, 2026 | 313.87 Mn |
| Dec 28, 2025 | 312.90 Mn |
| Sep 28, 2025 | 314.74 Mn |
| Jun 29, 2025 | 298.78 Mn |
| Mar 30, 2025 | 291.70 Mn |
| Dec 29, 2024 | 288.94 Mn |
| Sep 29, 2024 | 279.79 Mn |
| Jun 30, 2024 | 277.40 Mn |
| Mar 31, 2024 | 272.05 Mn |
| Dec 31, 2023 | 271.44 Mn |
| Sep 24, 2023 | 271.98 Mn |
| Jun 25, 2023 | 273.38 Mn |
| Mar 26, 2023 | 274.61 Mn |
| Dec 25, 2022 | 271.10 Mn |
Sweetgreen Operating Leases 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=operating-leases&ticker=SG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "operating-leases", "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=operating-leases&ticker=SG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();