Sweetgreen (SG) Total Non-Current Liabilities (2021 - 2026)
Sweetgreen (SG) posted Total Non-Current Liabilities of $428.04 million for Q2 2026, up 6.0% from $403.95 million a year earlier and up 1.0% from the prior quarter.
Sweetgreen (SG) Total Non-Current Liabilities (2021 - 2026) Analysis & Trends
At the end of FY2025, Sweetgreen's Total Non-Current Liabilities came in at $431.83 million, up 6.5% from FY2024.
- Annual Total Non-Current Liabilities has increased for four consecutive years, with a four-year compound annual growth rate of 57.0% (FY2021 to FY2025).
- In prior years, Sweetgreen's Total Non-Current Liabilities was $405.3 million in FY2024 (+10.9%), $365.61 million in FY2023 (+5.5%), $346.41 million in FY2022 (+387.0%) and $71.13 million in FY2021.
- Quarterly Total Non-Current Liabilities has run from a low of $71.13 million in Q4 2021 to a high of $431.83 million in Q4 2025 over five years.
- On a year-over-year basis, Total Non-Current Liabilities has increased in each of the last 15 quarters, with growth averaging 8.3% over the last eight quarters.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 3.2% (Q1 2024) and 387.0% (Q4 2022) over the last five years.
- According to Business Quant data, Total Non-Current Liabilities for the three prior quarters was $423.62 million (Q1 2026), $431.83 million (Q4 2025) and $431.32 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Non-Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 60.27 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | - |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 6.58 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 13.75 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 18.73 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 8.71 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 18.73 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 4.65 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 1.88 Bn |
| 10 | Sweetgreen | 1.04 Bn | 521.78 Mn | 25.18 Mn | 428.04 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 428.04 Mn |
| Mar 29, 2026 | 423.62 Mn |
| Dec 28, 2025 | 431.83 Mn |
| Sep 28, 2025 | 431.32 Mn |
| Jun 29, 2025 | 403.95 Mn |
| Mar 30, 2025 | 397.14 Mn |
| Dec 29, 2024 | 405.30 Mn |
| Sep 29, 2024 | 381.11 Mn |
| Jun 30, 2024 | 377.75 Mn |
| Mar 31, 2024 | 362.05 Mn |
| Dec 31, 2023 | 365.61 Mn |
| Sep 24, 2023 | 356.63 Mn |
| Jun 25, 2023 | 354.78 Mn |
| Mar 26, 2023 | 350.90 Mn |
| Dec 25, 2022 | 346.41 Mn |
| Sep 25, 2022 | 76.58 Mn |
| Jun 26, 2022 | 75.73 Mn |
| Mar 27, 2022 | 75.72 Mn |
| Dec 26, 2021 | 71.13 Mn |
Sweetgreen Total Non-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-non-current-liabilities&ticker=SG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-non-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-non-current-liabilities&ticker=SG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();