Sweetgreen (SG) Other Accumulated Expenses (2022 - 2026)
Sweetgreen's Other Accumulated Expenses came in at $29,000 for Q2 2026, down 6.5% from the prior quarter.
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Analysis
Sweetgreen (SG) Other Accumulated Expenses (2022 - 2026) Analysis & Trends
At the end of FY2025, Sweetgreen's Other Accumulated Expenses was $7.03 million, down 27.2% from FY2024.
- Going back by year, Other Accumulated Expenses was $9.66 million in FY2024 (+61.1%) and $6 million in FY2023.
- The Q2 2026 figure represents the lowest quarterly Other Accumulated Expenses in data going back to Q3 2022.
- Business Quant data shows SG's Other Accumulated Expenses at $31,000 (Q1 2026), $7.03 million (Q4 2025) and $5.94 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn |
| 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 |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - |
| 10 | Sweetgreen | 1.08 Bn | 564.63 Mn | 25.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 29,000.00 |
| Mar 29, 2026 | 31,000.00 |
| Dec 28, 2025 | 7.03 Mn |
| Sep 28, 2025 | 5.94 Mn |
| Mar 30, 2025 | 8.86 Mn |
| Dec 29, 2024 | 9.66 Mn |
| Dec 31, 2023 | 6.00 Mn |
| Sep 25, 2022 | 2.18 Mn |
API Access
Sweetgreen Other Accumulated 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-accumulated-expenses&ticker=SG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "other-accumulated-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-accumulated-expenses&ticker=SG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();