Sweetgreen (SG) Receivables - Net (2021 - 2026)
Sweetgreen's Receivables - Net was $5.71 million in Q2 2026, down 14.4% from $6.67 million a year earlier and down 18.9% from the prior quarter.
Analysis
Sweetgreen (SG) Receivables - Net (2021 - 2026) Analysis & Trends
At the end of FY2025, Receivables - Net at Sweetgreen came in at $5.17 million, up 2.6% from FY2024.
- Receivables - Net has now increased for four consecutive years, with a four-year compound annual growth rate of 18.2% (FY2021 to FY2025).
- In earlier years, Receivables - Net was $5.03 million in FY2024 (+43.7%), $3.5 million in FY2023 (+8.0%), $3.24 million in FY2022 (+22.7%) and $2.64 million in FY2021.
- Quarterly Receivables - Net has moved between $2.64 million (Q4 2021) and $9.89 million (Q3 2023) over five years.
- Compared with a year earlier, Receivables - Net was higher in four of the last eight quarters, with growth averaging 4.1%.
- The best year-over-year quarter for Receivables - Net over five years was Q2 2023 (growth of 122.5%); the worst was Q3 2024 (a decline of 27.8%).
- Per Business Quant data, SG's Receivables - Net in the three quarters before Q2 2026 was $7.04 million (Q1 2026), $5.17 million (Q4 2025) and $6.81 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - |
| 10 | Sweetgreen | 1.04 Bn | 521.78 Mn | 25.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 5.71 Mn |
| Mar 29, 2026 | 7.04 Mn |
| Dec 28, 2025 | 5.17 Mn |
| Sep 28, 2025 | 6.81 Mn |
| Jun 29, 2025 | 6.67 Mn |
| Mar 30, 2025 | 7.91 Mn |
| Dec 29, 2024 | 5.03 Mn |
| Sep 29, 2024 | 7.14 Mn |
| Jun 30, 2024 | 6.49 Mn |
| Mar 31, 2024 | 5.59 Mn |
| Dec 31, 2023 | 3.50 Mn |
| Sep 24, 2023 | 9.89 Mn |
| Jun 25, 2023 | 7.82 Mn |
| Mar 26, 2023 | 5.06 Mn |
| Dec 25, 2022 | 3.24 Mn |
| Sep 25, 2022 | 4.58 Mn |
| Jun 26, 2022 | 3.51 Mn |
| Mar 27, 2022 | 3.83 Mn |
| Dec 26, 2021 | 2.64 Mn |
API Access
Sweetgreen Receivables - Net 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=receivables-net&ticker=SG&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables-net", "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=receivables-net&ticker=SG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();