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 $403.78 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 6.6% from FY2024.
- Annual Total Non-Current Liabilities has increased for four consecutive years, with a four-year compound annual growth rate of 71.3% (FY2021 to FY2025).
- In prior years, Sweetgreen's Total Non-Current Liabilities was $405.13 million in FY2024 (+11.1%), $364.79 million in FY2023 (+5.7%), $345.06 million in FY2022 (+588.0%) and $50.15 million in FY2021.
- Quarterly Total Non-Current Liabilities has run from a low of $50.15 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 8.5% over the last eight quarters.
- The year-over-year growth in Total Non-Current Liabilities has ranged between 3.3% (Q1 2024) and 588.0% (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 | 198.08 Bn | 192.90 Bn | 6.42 Bn | 60.09 Bn |
| 2 | Starbucks | 123.34 Bn | 110.96 Bn | - | - |
| 3 | Chipotle Mexican Grill | 45.28 Bn | 41.78 Bn | - | 6.89 Bn |
| 4 | Yum Brands | 43.42 Bn | 40.31 Bn | 1.47 Bn | 13.75 Bn |
| 5 | Restaurant Brands International | 26.75 Bn | 22.54 Bn | 1.40 Bn | 18.84 Bn |
| 6 | Darden Restaurants | 25.71 Bn | 24.80 Bn | 1.68 Bn | 9.21 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 18.84 Bn |
| 8 | Yum China Holdings | 17.17 Bn | 10.82 Bn | 537.00 Mn | 4.65 Bn |
| 9 | Texas Roadhouse | 12.34 Bn | 11.68 Bn | - | 1.88 Bn |
| 10 | Sweetgreen | 1.63 Bn | 1.11 Bn | 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 | 403.78 Mn |
| Mar 30, 2025 | 396.97 Mn |
| Dec 29, 2024 | 405.13 Mn |
| Sep 29, 2024 | 380.36 Mn |
| Jun 30, 2024 | 376.97 Mn |
| Mar 31, 2024 | 361.25 Mn |
| Dec 31, 2023 | 364.79 Mn |
| Sep 24, 2023 | 355.40 Mn |
| Jun 25, 2023 | 353.51 Mn |
| Mar 26, 2023 | 349.60 Mn |
| Dec 25, 2022 | 345.06 Mn |
| Sep 25, 2022 | 57.29 Mn |
| Jun 26, 2022 | 56.56 Mn |
| Mar 27, 2022 | 54.98 Mn |
| Dec 26, 2021 | 50.15 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();