Sweetgreen (SG) Other Operating Expenses (2021 - 2026)
Sweetgreen's Other Operating Expenses was $1.11 million in Q2 2026, down 56.3% from $2.53 million a year earlier and down 0.4% from the prior quarter.
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Analysis
Sweetgreen (SG) Other Operating Expenses (2021 - 2026) Analysis & Trends
On a trailing twelve-month basis, Sweetgreen's Other Operating Expenses was $8.77 million through Jun 28, 2026, up 5.6% year-over-year; for FY2025, it came in at $10.79 million, up 63.0% from FY2024.
- Other Operating Expenses shows a five-year compound annual growth rate of 18.8% (FY2020 to FY2025).
- In earlier years, Other Operating Expenses was $6.62 million in FY2024 (-28.6%), $9.26 million in FY2023 (-19.6%), $11.52 million in FY2022 (+25.3%) and $9.19 million in FY2021 (+102.0%).
- The Q2 2026 figure marks the lowest quarterly Other Operating Expenses since Q2 2024.
- Compared with a year earlier, Other Operating Expenses was higher in five of the last eight quarters, with growth averaging 33.0%.
- The best year-over-year quarter for Other Operating Expenses over five years was Q1 2022 (growth of 161.4%); the worst was Q4 2023 (a decline of 68.7%).
- Per Business Quant data, SG's Other Operating Expenses in the three quarters before Q2 2026 was $1.11 million (Q1 2026), $3.77 million (Q4 2025) and $2.79 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - |
| 10 | Sweetgreen | 1.06 Bn | 539.63 Mn | 25.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 1.11 Mn |
| Mar 29, 2026 | 1.11 Mn |
| Dec 28, 2025 | 3.77 Mn |
| Sep 28, 2025 | 2.79 Mn |
| Jun 29, 2025 | 2.53 Mn |
| Mar 30, 2025 | 1.70 Mn |
| Dec 29, 2024 | 2.32 Mn |
| Sep 29, 2024 | 1.76 Mn |
| Jun 30, 2024 | 1.10 Mn |
| Mar 31, 2024 | 1.43 Mn |
| Dec 31, 2023 | 1.07 Mn |
| Sep 24, 2023 | 2.52 Mn |
| Jun 25, 2023 | 2.30 Mn |
| Mar 26, 2023 | 3.37 Mn |
| Dec 25, 2022 | 3.43 Mn |
| Sep 25, 2022 | 3.06 Mn |
| Jun 26, 2022 | 2.52 Mn |
| Mar 27, 2022 | 2.51 Mn |
| Dec 26, 2021 | 2.94 Mn |
| Sep 26, 2021 | 2.79 Mn |
API Access
Sweetgreen Other Operating Expenses 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=other-operating-expenses&ticker=SG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-operating-expenses", "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=other-operating-expenses&ticker=SG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();