Starbucks (SBUX) Non Operating Interest Expenses (2009 - 2026)
Starbucks (SBUX) recorded Non Operating Interest Expenses of $134.6 million in fiscal Q3 2026 (quarter ended Jun 28, 2026), down 5.4% from $142.3 million a year earlier and down 1.8% from the prior quarter.
Starbucks (SBUX) Non Operating Interest Expenses (2009 - 2026) Analysis & Trends
On a TTM basis, Starbucks' Non Operating Interest Expenses came in at $556.4 million as of Jun 28, 2026, up 3.7% year-over-year; for FY2025 (ended Sep 28, 2025), it came in at $542.6 million, down 3.5% from FY2024.
- Annual Non Operating Interest Expenses has a five-year compound annual growth rate of 4.4% (FY2020 to FY2025).
- Across earlier fiscal years, Non Operating Interest Expenses came in at $562 million in FY2024 (+2.2%), $550.1 million in FY2023 (+13.9%), $482.9 million in FY2022 (+2.8%) and $469.8 million in FY2021 (+7.5%).
- The fiscal Q3 2026 figure is the lowest quarterly Non Operating Interest Expenses since fiscal Q2 2025.
- On a year-over-year basis, Non Operating Interest Expenses rose in four of the last eight quarters, with an average decline of 0.6%.
- 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 9.5% in fiscal Q2 2025 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $137 million (Q2 2026), $139 million (Q1 2026) and $145.8 million (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non Operating Interest Expenses (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.75 Bn | 166.57 Bn | 6.42 Bn | 409.00 Mn |
| 2 | Starbucks | 109.77 Bn | 97.39 Bn | - | 134.60 Mn |
| 3 | Yum Brands | 41.45 Bn | 38.34 Bn | 1.47 Bn | - |
| 4 | Chipotle Mexican Grill | 39.14 Bn | 35.12 Bn | - | - |
| 5 | Restaurant Brands International | 25.78 Bn | 21.34 Bn | 1.38 Bn | - |
| 6 | Darden Restaurants | 24.33 Bn | 23.43 Bn | 1.68 Bn | - |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 124.00 Mn |
| 8 | Yum China Holdings | 15.56 Bn | 9.22 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 11.21 Bn | 10.55 Bn | - | - |
| 10 | Luckin Coffee | 10.73 Bn | 9.81 Bn | - | - |
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 |
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();