Sweetgreen (SG) Depreciation and Depletion (2021 - 2026)
Sweetgreen (SG) recorded Depreciation and Depletion of $17 million in Q2 2026, up 11.1% from $15.3 million a year earlier and up 0.6% from the prior quarter.
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Analysis
Sweetgreen (SG) Depreciation and Depletion (2021 - 2026) Analysis & Trends
On a TTM basis, Sweetgreen's Depreciation and Depletion came in at $65.4 million as of Jun 28, 2026, up 12.0% year-over-year; for FY2025, it came in at $61.2 million, up 8.5% from FY2024.
- Annual Depreciation and Depletion has increased for five straight years, with a five-year compound annual growth rate of 21.0% (FY2020 to FY2025).
- Across earlier years, Depreciation and Depletion came in at $56.4 million in FY2024 (+13.9%), $49.5 million in FY2023 (+27.6%), $38.8 million in FY2022 (+32.9%) and $29.2 million in FY2021 (+23.7%).
- The Q2 2026 figure is the highest quarterly Depreciation and Depletion in data going back to Q1 2021.
- On a year-over-year basis, Depreciation and Depletion has increased for 18 consecutive quarters, with growth averaging 10.1% over the last eight quarters.
- The year-over-year growth in Depreciation and Depletion has ranged between 5.1% (Q1 2025) and 36.2% (Q2 2022) over the last five years.
- Per Business Quant, the preceding three quarters came in at $16.9 million (Q1 2026), $16 million (Q4 2025) and $15.5 million (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Dep. & Depletion (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 164.07 Bn | 158.89 Bn | 6.42 Bn | - |
| 2 | Starbucks | 108.16 Bn | 95.79 Bn | - | 361.60 Mn |
| 3 | Chipotle Mexican Grill | 40.91 Bn | 36.89 Bn | - | - |
| 4 | Yum Brands | 37.32 Bn | 34.20 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 24.36 Bn | 21.46 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 22.52 Bn | 21.62 Bn | -113.70 Mn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | - |
| 8 | Yum China Holdings | 14.14 Bn | 8.50 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 10.28 Bn | 9.64 Bn | - | - |
| 10 | Sweetgreen | 1.03 Bn | 514.63 Mn | 25.18 Mn | 17.00 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 17.00 Mn |
| Mar 29, 2026 | 16.90 Mn |
| Dec 28, 2025 | 16.00 Mn |
| Sep 28, 2025 | 15.50 Mn |
| Jun 29, 2025 | 15.30 Mn |
| Mar 30, 2025 | 14.40 Mn |
| Dec 29, 2024 | 14.60 Mn |
| Sep 29, 2024 | 14.10 Mn |
| Jun 30, 2024 | 14.00 Mn |
| Mar 31, 2024 | 13.70 Mn |
| Dec 31, 2023 | 13.40 Mn |
| Sep 24, 2023 | 12.90 Mn |
| Jun 25, 2023 | 12.00 Mn |
| Mar 26, 2023 | 11.10 Mn |
| Dec 25, 2022 | 10.70 Mn |
| Sep 25, 2022 | 9.90 Mn |
| Jun 26, 2022 | 9.40 Mn |
| Mar 27, 2022 | 8.80 Mn |
| Dec 26, 2021 | 8.10 Mn |
| Sep 26, 2021 | 7.60 Mn |
API Access
Sweetgreen Depreciation and Depletion 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=depreciation-and-depletion&ticker=SG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "depreciation-and-depletion", "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=depreciation-and-depletion&ticker=SG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();