Starbucks (SBUX) Total Liabilities (2009 - 2026)
Starbucks (SBUX) recorded Total Liabilities of $35.97 billion in fiscal Q3 2026 (quarter ended Jun 28, 2026), down 13.0% from $41.33 billion a year earlier and down 7.8% from the prior quarter.
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Analysis
Starbucks (SBUX) Total Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Starbucks reported Total Liabilities of $40.12 billion, up 3.4% from FY2024.
- Annual Total Liabilities has increased for three straight fiscal years, with a five-year compound annual growth rate of 1.5% (FY2020 to FY2025).
- Across earlier fiscal years, Total Liabilities came in at $38.78 billion in FY2024 (+3.6%), $37.43 billion in FY2023 (+2.1%), $36.68 billion in FY2022 (-0.1%) and $36.71 billion in FY2021 (-1.3%).
- The fiscal Q3 2026 figure is the lowest quarterly Total Liabilities since fiscal Q2 2020.
- On a year-over-year basis, Total Liabilities rose in six of the last eight quarters, with growth averaging 1.7%.
- Peak year-over-year performance for Total Liabilities in the last five years was growth of 8.6% in fiscal Q3 2025, against a decline of 13.0% in fiscal Q3 2026 at the low end.
- Per Business Quant, the preceding three fiscal quarters came in at $39.02 billion (Q2 2026), $40.61 billion (Q1 2026) and $40.12 billion (Q4 2025).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.79 Bn | 166.61 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 109.56 Bn | 97.18 Bn | - | 35.97 Bn |
| 3 | Yum Brands | 41.44 Bn | 38.32 Bn | 1.47 Bn | 15.79 Bn |
| 4 | Chipotle Mexican Grill | 39.19 Bn | 35.17 Bn | - | 6.66 Bn |
| 5 | Restaurant Brands International | 25.75 Bn | 21.31 Bn | 1.38 Bn | 19.63 Bn |
| 6 | Darden Restaurants | 24.34 Bn | 23.44 Bn | 1.68 Bn | 11.16 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 19.63 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 11.20 Bn | 10.54 Bn | - | 2.09 Bn |
| 10 | Luckin Coffee | 10.70 Bn | 9.79 Bn | - | 2.10 Bn |
Historic Data
Download Data
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 35.97 Bn |
| Mar 29, 2026 | 39.02 Bn |
| Dec 28, 2025 | 40.61 Bn |
| Sep 28, 2025 | 40.12 Bn |
| Jun 29, 2025 | 41.33 Bn |
| Mar 30, 2025 | 39.25 Bn |
| Dec 29, 2024 | 39.36 Bn |
| Sep 29, 2024 | 38.78 Bn |
| Jun 30, 2024 | 38.05 Bn |
| Mar 31, 2024 | 37.81 Bn |
| Dec 31, 2023 | 37.79 Bn |
| Oct 1, 2023 | 37.43 Bn |
| Jul 2, 2023 | 37.07 Bn |
| Apr 2, 2023 | 37.11 Bn |
| Jan 1, 2023 | 36.92 Bn |
| Oct 2, 2022 | 36.68 Bn |
| Jul 3, 2022 | 36.82 Bn |
| Apr 3, 2022 | 37.78 Bn |
| Jan 2, 2022 | 37.28 Bn |
| Oct 3, 2021 | 36.71 Bn |
API Access
Starbucks Total Liabilities 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=total-liabilities&ticker=SBUX&period=max&api_key=YOUR_API_KEYimport requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-liabilities", "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=total-liabilities&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();