Sweetgreen (SG) Cash & Equivalents (2021 - 2026)
Sweetgreen (SG) recorded Cash & Equivalents of $142.63 million in Q2 2026, down 15.3% from $168.45 million a year earlier and down 9.0% from the prior quarter.
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Analysis
Sweetgreen (SG) Cash & Equivalents (2021 - 2026) Analysis & Trends
At the end of FY2025, Sweetgreen reported Cash & Equivalents of $89.18 million, down 58.5% from FY2024.
- Annual Cash & Equivalents has declined for four straight years, with a four-year compound annual growth rate of -34.1% (FY2021 to FY2025).
- Across earlier years, Cash & Equivalents came in at $214.79 million in FY2024 (-16.5%), $257.23 million in FY2023 (-22.4%), $331.61 million in FY2022 (-29.7%) and $471.97 million in FY2021.
- Quarterly Cash & Equivalents has ranged from $89.18 million in Q4 2025 to $471.97 million in Q4 2021 over the past five years.
- On a year-over-year basis, Cash & Equivalents has declined for 15 consecutive quarters, with an average decline of 27.5% over the last eight quarters.
- The year-over-year decline in Cash & Equivalents has ranged between 12.8% (Q2 2024) and 58.5% (Q4 2025) over the last five years.
- Per Business Quant, the preceding three quarters came in at $156.8 million (Q1 2026), $89.18 million (Q4 2025) and $129.97 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Cash & Equiv. (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | 822.00 Mn |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | 3.45 Bn |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | 228.20 Mn |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | 674.00 Mn |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn | 1.06 Bn |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn | 219.50 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 1.06 Bn |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn | 485.00 Mn |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | 202.43 Mn |
| 10 | Sweetgreen | 1.03 Bn | 514.63 Mn | 25.18 Mn | 142.63 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 142.63 Mn |
| Mar 29, 2026 | 156.80 Mn |
| Dec 28, 2025 | 89.18 Mn |
| Sep 28, 2025 | 129.97 Mn |
| Jun 29, 2025 | 168.45 Mn |
| Mar 30, 2025 | 183.89 Mn |
| Dec 29, 2024 | 214.79 Mn |
| Sep 29, 2024 | 234.62 Mn |
| Jun 30, 2024 | 244.58 Mn |
| Mar 31, 2024 | 243.76 Mn |
| Dec 31, 2023 | 257.23 Mn |
| Sep 24, 2023 | 274.74 Mn |
| Jun 25, 2023 | 280.33 Mn |
| Mar 26, 2023 | 296.83 Mn |
| Dec 25, 2022 | 331.61 Mn |
| Sep 25, 2022 | 381.04 Mn |
| Jun 26, 2022 | 406.98 Mn |
| Mar 27, 2022 | 436.52 Mn |
| Dec 26, 2021 | 471.97 Mn |
API Access
Sweetgreen Cash & Equivalents 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=cash-and-equivalents&ticker=SG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "cash-and-equivalents", "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=cash-and-equivalents&ticker=SG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();