Sweetgreen (SG) Receivables (2021 - 2026)
Sweetgreen's Receivables came in at $5.71 million for Q2 2026, down 14.4% from $6.67 million a year earlier and down 18.9% from the prior quarter.
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Analysis
Sweetgreen (SG) Receivables (2021 - 2026) Analysis & Trends
At the end of FY2025, Sweetgreen's Receivables was $5.17 million, up 2.6% from FY2024.
- Receivables has increased in each of the last three years, though with a four-year compound annual growth rate of -28.1% (FY2021 to FY2025).
- Going back by year, Receivables was $5.03 million in FY2024 (+17.0%), $4.3 million in FY2023 (+21.4%), $3.54 million in FY2022 (-81.7%) and $19.34 million in FY2021.
- The five-year range for quarterly Receivables is $3.54 million (Q4 2022) to $21.73 million (Q1 2022).
- Year-over-year, Receivables increased in four of the last eight quarters, with growth averaging 0.7%.
- The fastest year-over-year change in Receivables over five years came in Q1 2025 (growth of 41.5%), and the weakest in Q4 2022 (a decline of 81.7%).
- Business Quant data shows SG's Receivables at $7.04 million (Q1 2026), $5.17 million (Q4 2025) and $6.81 million (Q3 2025) in the three quarters before Q2 2026.
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Receivables (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 165.62 Bn | 160.44 Bn | 6.42 Bn | 2.49 Bn |
| 2 | Starbucks | 108.79 Bn | 96.42 Bn | - | 1.30 Bn |
| 3 | Chipotle Mexican Grill | 40.35 Bn | 36.33 Bn | - | 100.31 Mn |
| 4 | Yum Brands | 37.59 Bn | 34.48 Bn | 1.47 Bn | 623.00 Mn |
| 5 | Restaurant Brands International | 24.96 Bn | 22.07 Bn | 1.38 Bn | 800.00 Mn |
| 6 | Darden Restaurants | 22.28 Bn | 21.39 Bn | -113.70 Mn | 129.90 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 800.00 Mn |
| 8 | Yum China Holdings | 14.08 Bn | 8.44 Bn | 537.00 Mn | 115.00 Mn |
| 9 | Texas Roadhouse | 10.31 Bn | 9.67 Bn | - | 74.14 Mn |
| 10 | Sweetgreen | 1.04 Bn | 521.78 Mn | 25.18 Mn | 5.71 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 | 4.30 Mn |
| Sep 24, 2023 | 9.89 Mn |
| Jun 25, 2023 | 7.82 Mn |
| Mar 26, 2023 | 5.06 Mn |
| Dec 25, 2022 | 3.54 Mn |
| Sep 25, 2022 | 19.73 Mn |
| Jun 26, 2022 | 19.98 Mn |
| Mar 27, 2022 | 21.73 Mn |
| Dec 26, 2021 | 19.34 Mn |
API Access
Sweetgreen Receivables 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&ticker=SG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "receivables", "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&ticker=SG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();