Sweetgreen (SG) Asset Writedowns and Impairment (2021 - 2023)
Sweetgreen's Asset Writedowns and Impairment was $11.56 million in FY2025, up 529.8% from $1.84 million in FY2024.
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Analysis
Sweetgreen (SG) Asset Writedowns and Impairment (2021 - 2023) Analysis & Trends
From FY2020 onward, Sweetgreen has reported Asset Writedowns and Impairment for 6 years.
- Asset Writedowns and Impairment shows a five-year compound annual growth rate of 51.3% (FY2020 to FY2025).
- The FY2025 figure marks the highest annual Asset Writedowns and Impairment in data going back to FY2020.
- Per Business Quant data, Asset Writedowns and Impairment in earlier years was $1.84 million in FY2024, $90,000 in FY2023 (-96.5%), $2.54 million in FY2022 (-48.3%) and $4.92 million in FY2021 (+237.6%).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) |
|---|---|---|---|---|
| 1 | Mcdonalds | 164.13 Bn | 158.95 Bn | 6.42 Bn |
| 2 | Starbucks | 107.97 Bn | 95.60 Bn | - |
| 3 | Chipotle Mexican Grill | 41.04 Bn | 37.02 Bn | - |
| 4 | Yum Brands | 37.16 Bn | 34.04 Bn | 1.47 Bn |
| 5 | Restaurant Brands International | 24.42 Bn | 21.52 Bn | 1.38 Bn |
| 6 | Darden Restaurants | 22.67 Bn | 21.77 Bn | 1.68 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn |
| 8 | Yum China Holdings | 13.79 Bn | 8.16 Bn | 537.00 Mn |
| 9 | Texas Roadhouse | 10.24 Bn | 9.60 Bn | - |
| 10 | Sweetgreen | 1.08 Bn | 564.63 Mn | 25.18 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Mar 26, 2023 | 190,000.00 |
| Dec 25, 2022 | 697,000.00 |
| Sep 25, 2022 | 1.69 Mn |
| Mar 27, 2022 | 17,000.00 |
| Dec 26, 2021 | 500,000.00 |
| Sep 26, 2021 | 4.42 Mn |
API Access
Sweetgreen Asset Writedowns and Impairment 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=asset-writedowns-and-impairment&ticker=SG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "asset-writedowns-and-impairment", "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=asset-writedowns-and-impairment&ticker=SG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();