Sweetgreen (SG) Non Operating Interest Expenses (2021 - 2026)
Sweetgreen (SG) recorded Non Operating Interest Expenses of $62,000 in Q2 2026, compared with $5,000 a year earlier and up 121.4% from the prior quarter.
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Analysis
Sweetgreen (SG) Non Operating Interest Expenses (2021 - 2026) Analysis & Trends
On a TTM basis, Sweetgreen's Non Operating Interest Expenses came in at $104,000 as of Jun 28, 2026, up 131.1% year-over-year; for FY2025, it came in at $19,000, down 92.6% from FY2024.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of -45.7% (FY2020 to FY2025).
- Across earlier years, Non Operating Interest Expenses came in at $256,000 in FY2024 (+100.0%), $128,000 in FY2023 (+54.2%), $83,000 in FY2022 (-4.6%) and $87,000 in FY2021 (-78.5%).
- The Q2 2026 figure is the highest quarterly Non Operating Interest Expenses since Q2 2024.
- On a year-over-year basis, Non Operating Interest Expenses rose in 1 of the last five quarters, with an average decline of 52.7%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 994.4% in Q2 2024, against a decline of 97.5% in Q2 2025 at the low end.
- Per Business Quant, the preceding three quarters came in at $28,000 (Q1 2026), $7,000 (Q4 2025) and $7,000 (Q3 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 163.51 Bn | 158.34 Bn | 6.42 Bn | 409.00 Mn |
| 2 | Starbucks | 107.11 Bn | 94.75 Bn | - | 134.60 Mn |
| 3 | Chipotle Mexican Grill | 40.42 Bn | 36.40 Bn | - | - |
| 4 | Yum Brands | 37.23 Bn | 34.12 Bn | 1.47 Bn | - |
| 5 | Restaurant Brands International | 24.82 Bn | 21.92 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 22.06 Bn | 21.17 Bn | -113.70 Mn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 124.00 Mn |
| 8 | Yum China Holdings | 14.18 Bn | 8.54 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 10.25 Bn | 9.62 Bn | - | - |
| 10 | Sweetgreen | 1.06 Bn | 539.63 Mn | 25.18 Mn | 62,000.00 |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 62,000.00 |
| Mar 29, 2026 | 28,000.00 |
| Dec 28, 2025 | 7,000.00 |
| Sep 28, 2025 | 7,000.00 |
| Jun 29, 2025 | 5,000.00 |
| Dec 29, 2024 | 14,000.00 |
| Sep 29, 2024 | 26,000.00 |
| Jun 30, 2024 | 197,000.00 |
| Mar 31, 2024 | 19,000.00 |
| Dec 31, 2023 | 70,000.00 |
| Sep 24, 2023 | 19,000.00 |
| Jun 25, 2023 | 18,000.00 |
| Mar 26, 2023 | 21,000.00 |
| Dec 25, 2022 | 15,000.00 |
| Sep 25, 2022 | 23,000.00 |
| Jun 26, 2022 | 22,000.00 |
| Mar 27, 2022 | 23,000.00 |
| Dec 26, 2021 | 22,000.00 |
| Sep 26, 2021 | 23,000.00 |
| Jun 27, 2021 | 23,000.00 |
API Access
Sweetgreen Non Operating Interest Expenses 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=non-operating-interest-expenses&ticker=SG&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "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=non-operating-interest-expenses&ticker=SG&period=max&api_key=YOUR_API_KEY");
const data = await res.json();