Sweetgreen (SG) Total Liabilities (2021 - 2026)
Sweetgreen's Total Liabilities came in at $428.04 million for Q2 2026, up 4.8% from $408.59 million a year earlier and up 1.0% from the prior quarter.
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Analysis
Sweetgreen (SG) Total Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Sweetgreen's Total Liabilities was $431.98 million, up 5.2% from FY2024.
- Total Liabilities has increased in each of the last four years, with a four-year compound annual growth rate of 40.9% (FY2021 to FY2025).
- Going back by year, Total Liabilities was $410.61 million in FY2024 (+9.8%), $373.96 million in FY2023 (+1.7%), $367.71 million in FY2022 (+235.7%) and $109.53 million in FY2021.
- The five-year range for quarterly Total Liabilities is $109.53 million (Q4 2021) to $431.98 million (Q4 2025).
- Year-over-year, Total Liabilities has increased for nine consecutive quarters, with growth averaging 6.4% over the last eight quarters.
- The fastest year-over-year change in Total Liabilities over five years came in Q4 2022 (growth of 235.7%), and the weakest in Q1 2024 (a decline of 0.2%).
- Business Quant data shows SG's Total Liabilities at $423.76 million (Q1 2026), $431.98 million (Q4 2025) and $431.47 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 35.97 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 6.66 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 15.79 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 19.63 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 10.65 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 19.63 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 2.09 Bn |
| 10 | Sweetgreen | 1.04 Bn | 521.78 Mn | 25.18 Mn | 428.04 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 428.04 Mn |
| Mar 29, 2026 | 423.76 Mn |
| Dec 28, 2025 | 431.98 Mn |
| Sep 28, 2025 | 431.47 Mn |
| Jun 29, 2025 | 408.59 Mn |
| Mar 30, 2025 | 401.57 Mn |
| Dec 29, 2024 | 410.61 Mn |
| Sep 29, 2024 | 394.68 Mn |
| Jun 30, 2024 | 389.04 Mn |
| Mar 31, 2024 | 372.42 Mn |
| Dec 31, 2023 | 373.96 Mn |
| Sep 24, 2023 | 379.52 Mn |
| Jun 25, 2023 | 376.05 Mn |
| Mar 26, 2023 | 373.25 Mn |
| Dec 25, 2022 | 367.71 Mn |
| Sep 25, 2022 | 126.29 Mn |
| Jun 26, 2022 | 121.16 Mn |
| Mar 27, 2022 | 116.19 Mn |
| Dec 26, 2021 | 109.53 Mn |
API Access
Sweetgreen Total Liabilities 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=total-liabilities&ticker=SG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();