Starbucks (SBUX) Non Operating Interest Expenses (2009 - 2026)
Starbucks (SBUX) recorded Non Operating Interest Expenses of $120.7 million in fiscal Q4 2026 (quarter ended Sep 27, 2026), down 17.2% from $145.8 million a year earlier and down 10.3% from the prior quarter.
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Analysis
Starbucks (SBUX) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
For FY2026 (ended Sep 27, 2026), Starbucks reported Non Operating Interest Expenses of $531.3 million, down 2.1% from FY2025.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 2.5% (FY2021 to FY2026).
- Across earlier fiscal years, Non Operating Interest Expenses came in at $542.6 million in FY2025 (-3.5%), $562 million in FY2024 (+2.2%), $550.1 million in FY2023 (+13.9%) and $482.9 million in FY2022 (+2.8%).
- The fiscal Q4 2026 figure is the lowest quarterly Non Operating Interest Expenses since fiscal Q2 2022.
- On a year-over-year basis, Non Operating Interest Expenses rose in four of the last eight quarters, with an average decline of 2.4%.
- Peak year-over-year performance for Non Operating Interest Expenses in the last five years was growth of 14.5% in fiscal Q3 2023, against a decline of 17.2% in fiscal Q4 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $134.6 million (Q3 2026), $137 million (Q2 2026) and $139 million (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 196.79 Bn | 191.61 Bn | 6.42 Bn | 409.00 Mn |
| 2 | Starbucks | 121.02 Bn | 108.65 Bn | - | 134.60 Mn |
| 3 | Yum Brands | 45.33 Bn | 42.21 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 44.75 Bn | 41.25 Bn | - | - |
| 5 | Restaurant Brands International | 27.39 Bn | 24.77 Bn | 1.40 Bn | - |
| 6 | Darden Restaurants | 25.86 Bn | 24.96 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 125.00 Mn |
| 8 | Yum China Holdings | 17.17 Bn | 11.53 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 12.58 Bn | 11.94 Bn | - | - |
| 10 | Dominos Pizza | 11.24 Bn | 10.49 Bn | 476.38 Mn | 46.23 Mn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 134.60 Mn |
| Mar 29, 2026 | 137.00 Mn |
| Dec 28, 2025 | 139.00 Mn |
| Sep 28, 2025 | 145.80 Mn |
| Jun 29, 2025 | 142.30 Mn |
| Mar 30, 2025 | 127.30 Mn |
| Dec 29, 2024 | 127.20 Mn |
| Sep 29, 2024 | 140.00 Mn |
| Jun 30, 2024 | 141.30 Mn |
| Mar 31, 2024 | 140.60 Mn |
| Dec 31, 2023 | 140.10 Mn |
| Oct 1, 2023 | 143.20 Mn |
| Jul 2, 2023 | 140.90 Mn |
| Apr 2, 2023 | 136.30 Mn |
| Jan 1, 2023 | 129.70 Mn |
| Oct 2, 2022 | 125.30 Mn |
| Jul 3, 2022 | 123.10 Mn |
| Apr 3, 2022 | 119.10 Mn |
| Jan 2, 2022 | 115.30 Mn |
| Oct 3, 2021 | 120.60 Mn |
API Access
Starbucks 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=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-operating-interest-expenses", "ticker": "SBUX", "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=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();