Starbucks (SBUX) Total Liabilities (2009 - 2026)
Starbucks (SBUX) recorded Total Liabilities of $36.05 billion in fiscal Q4 2026 (quarter ended Sep 27, 2026), down 10.1% from $40.12 billion a year earlier but up 0.2% from the prior quarter.
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Analysis
Starbucks (SBUX) Total Liabilities (2009 - 2026) Analysis & Trends
Starting with fiscal Q3 2009, Starbucks' Total Liabilities history includes 70 quarters.
- Annual Total Liabilities has a five-year compound annual growth rate of -0.4% (FY2021 to FY2026).
- Across earlier fiscal years, Total Liabilities came in at $40.12 billion in FY2025 (+3.4%), $38.78 billion in FY2024 (+3.6%), $37.43 billion in FY2023 (+2.1%) and $36.68 billion in FY2022 (-0.1%).
- Quarterly Total Liabilities has ranged from $35.97 billion in fiscal Q3 2026 to $41.33 billion in fiscal Q3 2025 over the past five years.
- On a year-over-year basis, Total Liabilities has declined for three consecutive quarters, with an average decline of 0.1% over the last eight quarters.
- 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 $35.97 billion (Q3 2026), $39.02 billion (Q2 2026) and $40.61 billion (Q1 2026).
Peer Set
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 198.28 Bn | 193.10 Bn | 6.42 Bn | 60.94 Bn |
| 2 | Starbucks | 125.06 Bn | 112.69 Bn | - | 35.97 Bn |
| 3 | Yum Brands | 45.39 Bn | 42.27 Bn | 1.47 Bn | 15.79 Bn |
| 4 | Chipotle Mexican Grill | 44.51 Bn | 41.01 Bn | - | 6.98 Bn |
| 5 | Restaurant Brands International | 27.33 Bn | 24.70 Bn | 1.40 Bn | 19.74 Bn |
| 6 | Darden Restaurants | 26.09 Bn | 25.18 Bn | 1.68 Bn | 11.16 Bn |
| 7 | Restaurant Brands International Limited Partnership | 24.67 Bn | 20.46 Bn | 1.40 Bn | 19.74 Bn |
| 8 | Yum China Holdings | 17.13 Bn | 11.49 Bn | 537.00 Mn | 4.81 Bn |
| 9 | Texas Roadhouse | 12.88 Bn | 12.25 Bn | - | 2.09 Bn |
| 10 | Dominos Pizza | 11.21 Bn | 10.45 Bn | 476.38 Mn | 5.72 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();