Starbucks (SBUX) Non-Current Debt (2009 - 2026)
Starbucks' Non-Current Debt was $11.78 billion in fiscal Q3 2026 (quarter ended Jun 28, 2026), down 19.2% from $14.57 billion a year earlier and down 10.0% from the prior quarter.
Starbucks (SBUX) Non-Current Debt (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Non-Current Debt at Starbucks came in at $14.58 billion, up 1.8% from FY2024.
- Non-Current Debt has now increased for three consecutive fiscal years, though with a five-year compound annual growth rate of -0.1% (FY2020 to FY2025).
- In earlier fiscal years, Non-Current Debt was $14.32 billion in FY2024 (+5.7%), $13.55 billion in FY2023 (+3.3%), $13.12 billion in FY2022 (-3.6%) and $13.62 billion in FY2021 (-7.1%).
- The fiscal Q3 2026 figure marks the lowest quarterly Non-Current Debt since fiscal Q2 2020.
- Compared with a year earlier, Non-Current Debt was higher in four of the last eight quarters, with an average decline of 3.3%.
- The best year-over-year quarter for Non-Current Debt over five years was fiscal Q3 2024 (growth of 14.8%); the worst was fiscal Q3 2026 (a decline of 19.2%).
- Per Business Quant data, SBUX's Non-Current Debt in the three fiscal quarters before Q3 2026 was $13.08 billion (Q2 2026), $14.58 billion (Q1 2026) and $14.58 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Non-Current Debt (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 172.13 Bn | 166.95 Bn | 6.42 Bn | 39.86 Bn |
| 2 | Starbucks | 109.42 Bn | 97.05 Bn | - | 11.78 Bn |
| 3 | Yum Brands | 41.37 Bn | 38.25 Bn | 1.47 Bn | 9.46 Bn |
| 4 | Chipotle Mexican Grill | 39.34 Bn | 35.32 Bn | - | - |
| 5 | Restaurant Brands International | 25.76 Bn | 21.31 Bn | 1.38 Bn | 13.21 Bn |
| 6 | Darden Restaurants | 24.26 Bn | 23.36 Bn | 1.68 Bn | -5.30 Mn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 13.21 Bn |
| 8 | Yum China Holdings | 15.60 Bn | 9.26 Bn | 537.00 Mn | - |
| 9 | Texas Roadhouse | 11.23 Bn | 10.57 Bn | - | 50.00 Mn |
| 10 | Luckin Coffee | 10.65 Bn | 9.74 Bn | - | - |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 11.78 Bn |
| Mar 29, 2026 | 13.08 Bn |
| Dec 28, 2025 | 14.58 Bn |
| Sep 28, 2025 | 14.58 Bn |
| Jun 29, 2025 | 14.57 Bn |
| Mar 30, 2025 | 13.32 Bn |
| Dec 29, 2024 | 14.31 Bn |
| Sep 29, 2024 | 14.32 Bn |
| Jun 30, 2024 | 15.55 Bn |
| Mar 31, 2024 | 15.55 Bn |
| Dec 31, 2023 | 13.56 Bn |
| Oct 1, 2023 | 13.55 Bn |
| Jul 2, 2023 | 13.54 Bn |
| Apr 2, 2023 | 13.54 Bn |
| Jan 1, 2023 | 13.18 Bn |
| Oct 2, 2022 | 13.12 Bn |
| Jul 3, 2022 | 13.93 Bn |
| Apr 3, 2022 | 14.01 Bn |
| Jan 2, 2022 | 13.59 Bn |
| Oct 3, 2021 | 13.62 Bn |
Starbucks Non-Current Debt 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-current-debt&ticker=SBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "non-current-debt", "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-current-debt&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();