Sweetgreen (SG) Accumulated Expenses (2021 - 2026)
Sweetgreen's Accumulated Expenses was $38.92 million in Q2 2026, up 37.9% from $28.22 million a year earlier and up 17.3% from the prior quarter.
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Analysis
Sweetgreen (SG) Accumulated Expenses (2021 - 2026) Analysis & Trends
At the end of FY2025, Accumulated Expenses at Sweetgreen came in at $33.74 million, up 27.0% from FY2024.
- Accumulated Expenses shows a four-year compound annual growth rate of 19.9% (FY2021 to FY2025).
- In earlier years, Accumulated Expenses was $26.56 million in FY2024 (+27.4%), $20.85 million in FY2023 (-5.5%), $22.07 million in FY2022 (+35.1%) and $16.34 million in FY2021.
- The Q2 2026 figure marks the highest quarterly Accumulated Expenses in data going back to Q4 2021.
- Compared with a year earlier, Accumulated Expenses has increased for ten straight quarters, with growth averaging 24.8% over the last eight quarters.
- The best year-over-year quarter for Accumulated Expenses over five years was Q2 2023 (growth of 39.2%); the worst was Q4 2023 (a decline of 5.5%).
- Per Business Quant data, SG's Accumulated Expenses in the three quarters before Q2 2026 was $33.18 million (Q1 2026), $33.74 million (Q4 2025) and $33.26 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 | 38.92 Mn |
| Mar 29, 2026 | 33.18 Mn |
| Dec 28, 2025 | 33.74 Mn |
| Sep 28, 2025 | 33.26 Mn |
| Jun 29, 2025 | 28.22 Mn |
| Mar 30, 2025 | 26.00 Mn |
| Dec 29, 2024 | 26.56 Mn |
| Sep 29, 2024 | 28.08 Mn |
| Jun 30, 2024 | 25.43 Mn |
| Mar 31, 2024 | 22.00 Mn |
| Dec 31, 2023 | 20.85 Mn |
| Sep 24, 2023 | 21.49 Mn |
| Jun 25, 2023 | 21.48 Mn |
| Mar 26, 2023 | 20.73 Mn |
| Dec 25, 2022 | 22.07 Mn |
| Sep 25, 2022 | 16.54 Mn |
| Jun 26, 2022 | 15.43 Mn |
| Mar 27, 2022 | 15.18 Mn |
| Dec 26, 2021 | 16.34 Mn |
API Access
Sweetgreen 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=accumulated-expenses&ticker=SG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "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=accumulated-expenses&ticker=SG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();