Sweetgreen (SG) Total Current Liabilities (2021 - 2026)
Sweetgreen (SG) posted Total Current Liabilities of $114.34 million for Q2 2026, up 9.5% from $104.46 million a year earlier and up 4.8% from the prior quarter.
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Analysis
Sweetgreen (SG) Total Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Sweetgreen's Total Current Liabilities came in at $118.65 million, up 2.4% from FY2024.
- Annual Total Current Liabilities has increased for four consecutive years, with a four-year compound annual growth rate of 25.7% (FY2021 to FY2025).
- In prior years, Sweetgreen's Total Current Liabilities was $115.83 million in FY2024 (+26.5%), $91.58 million in FY2023 (+26.2%), $72.55 million in FY2022 (+52.6%) and $47.53 million in FY2021.
- Quarterly Total Current Liabilities has run from a low of $47.53 million in Q4 2021 to a high of $118.65 million in Q4 2025 over five years.
- On a year-over-year basis, Total Current Liabilities has increased in each of the last 15 quarters, with growth averaging 13.6% over the last eight quarters.
- The year-over-year growth in Total Current Liabilities has ranged between 2.4% (Q4 2025) and 70.2% (Q3 2023) over the last five years.
- According to Business Quant data, Total Current Liabilities for the three prior quarters was $109.13 million (Q1 2026), $118.65 million (Q4 2025) and $115.95 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 4.02 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 9.92 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 1.32 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 4.29 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 2.31 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 3.01 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.31 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 2.44 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 790.79 Mn |
| 10 | Sweetgreen | 1.04 Bn | 521.78 Mn | 25.18 Mn | 114.34 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 114.34 Mn |
| Mar 29, 2026 | 109.13 Mn |
| Dec 28, 2025 | 118.65 Mn |
| Sep 28, 2025 | 115.95 Mn |
| Jun 29, 2025 | 104.46 Mn |
| Mar 30, 2025 | 104.82 Mn |
| Dec 29, 2024 | 115.83 Mn |
| Sep 29, 2024 | 98.52 Mn |
| Jun 30, 2024 | 97.62 Mn |
| Mar 31, 2024 | 87.33 Mn |
| Dec 31, 2023 | 91.58 Mn |
| Sep 24, 2023 | 81.05 Mn |
| Jun 25, 2023 | 78.08 Mn |
| Mar 26, 2023 | 73.26 Mn |
| Dec 25, 2022 | 72.55 Mn |
| Sep 25, 2022 | 47.61 Mn |
| Jun 26, 2022 | 50.53 Mn |
| Mar 27, 2022 | 49.44 Mn |
| Dec 26, 2021 | 47.53 Mn |
API Access
Sweetgreen Total Current 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-current-liabilities&ticker=SG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=SG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();