Sweetgreen (SG) Non-Current Assets (2021 - 2026)
Sweetgreen (SG) recorded Non-Current Assets of $731.72 million in Q2 2026, up 14.1% from $641.56 million a year earlier but down 0.8% from the prior quarter.
Sweetgreen (SG) Non-Current Assets (2021 - 2026) Analysis & Trends
At the end of FY2025, Sweetgreen reported Non-Current Assets of $658.45 million, up 5.8% from FY2024.
- Annual Non-Current Assets has increased for four straight years, with a four-year compound annual growth rate of 26.6% (FY2021 to FY2025).
- Across earlier years, Non-Current Assets came in at $622.22 million in FY2024 (+7.2%), $580.45 million in FY2023 (+3.1%), $562.79 million in FY2022 (+119.8%) and $255.99 million in FY2021.
- Quarterly Non-Current Assets has ranged from $255.99 million in Q4 2021 to $737.38 million in Q1 2026 over the past five years.
- On a year-over-year basis, Non-Current Assets has increased for 15 consecutive quarters, with growth averaging 9.6% over the last eight quarters.
- Across the past five years, year-over-year growth in Non-Current Assets ran from 0.4% in Q1 2024 to 119.8% in Q4 2022.
- Per Business Quant, the preceding three quarters came in at $737.38 million (Q1 2026), $658.45 million (Q4 2025) and $675.09 million (Q3 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Assets (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 55.58 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 20.76 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 7.92 Bn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 6.14 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 22.68 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 11.92 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 22.68 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 8.52 Bn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 3.31 Bn |
| 10 | Sweetgreen | 1.04 Bn | 521.78 Mn | 25.18 Mn | 731.72 Mn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 731.72 Mn |
| Mar 29, 2026 | 737.38 Mn |
| Dec 28, 2025 | 658.45 Mn |
| Sep 28, 2025 | 675.09 Mn |
| Jun 29, 2025 | 641.56 Mn |
| Mar 30, 2025 | 628.15 Mn |
| Dec 29, 2024 | 622.22 Mn |
| Sep 29, 2024 | 602.68 Mn |
| Jun 30, 2024 | 593.39 Mn |
| Mar 31, 2024 | 579.01 Mn |
| Dec 31, 2023 | 580.45 Mn |
| Sep 24, 2023 | 581.19 Mn |
| Jun 25, 2023 | 580.89 Mn |
| Mar 26, 2023 | 576.96 Mn |
| Dec 25, 2022 | 562.79 Mn |
| Sep 25, 2022 | 286.74 Mn |
| Jun 26, 2022 | 283.78 Mn |
| Mar 27, 2022 | 265.08 Mn |
| Dec 26, 2021 | 255.99 Mn |
Sweetgreen Non-Current Assets 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=non-current-assets&ticker=SG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-assets", "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=non-current-assets&ticker=SG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();