Starbucks (SBUX) Total Current Liabilities (2009 - 2026)
Starbucks (SBUX) posted Total Current Liabilities of $9.92 billion for fiscal Q3 2026 (quarter ended Jun 28, 2026), down 11.0% from $11.14 billion a year earlier and down 13.4% from the prior quarter.
Starbucks (SBUX) Total Current Liabilities (2009 - 2026) Analysis & Trends
At the end of FY2025 (ended Sep 28, 2025), Starbucks' Total Current Liabilities came in at $10.21 billion, up 12.6% from FY2024.
- Annual Total Current Liabilities shows a five-year compound annual growth rate of 6.8% (FY2020 to FY2025).
- In prior fiscal years, Starbucks' Total Current Liabilities was $9.07 billion in FY2024 (-2.9%), $9.35 billion in FY2023 (+2.1%), $9.15 billion in FY2022 (+12.3%) and $8.15 billion in FY2021 (+11.0%).
- The fiscal Q3 2026 figure stands as the lowest quarterly Total Current Liabilities since fiscal Q1 2025.
- On a year-over-year basis, Total Current Liabilities increased in six of the last eight quarters, with growth averaging 14.3%.
- The strongest year-over-year quarter for Total Current Liabilities in the past five years was fiscal Q3 2025, with growth of 45.7%; the weakest was fiscal Q2 2024, with a decline of 17.5%.
- According to Business Quant data, Total Current Liabilities for the three prior fiscal quarters was $11.45 billion (Q2 2026), $11.49 billion (Q1 2026) and $10.21 billion (Q4 2025).
Peer Comparison
| # | Company | Market Cap | Enterprise Value | Gross Profit (Qtr) | Total Current Liabilities (Qtr) |
|---|---|---|---|---|---|
| 1 | Mcdonalds | 171.79 Bn | 166.61 Bn | 6.42 Bn | 4.02 Bn |
| 2 | Starbucks | 109.56 Bn | 97.18 Bn | - | 9.92 Bn |
| 3 | Yum Brands | 41.44 Bn | 38.32 Bn | 1.47 Bn | 4.29 Bn |
| 4 | Chipotle Mexican Grill | 39.19 Bn | 35.17 Bn | - | 1.32 Bn |
| 5 | Restaurant Brands International | 25.75 Bn | 21.31 Bn | 1.38 Bn | 2.31 Bn |
| 6 | Darden Restaurants | 24.34 Bn | 23.44 Bn | 1.68 Bn | 3.20 Bn |
| 7 | Restaurant Brands International Limited Partnership | 17.01 Bn | 12.57 Bn | 1.38 Bn | 2.31 Bn |
| 8 | Yum China Holdings | 15.57 Bn | 9.23 Bn | 537.00 Mn | 2.44 Bn |
| 9 | Texas Roadhouse | 11.20 Bn | 10.54 Bn | - | 790.79 Mn |
| 10 | Luckin Coffee | 10.70 Bn | 9.79 Bn | - | 1.22 Bn |
Historic Data
| Date | Value |
|---|---|
| Jun 28, 2026 | 9.92 Bn |
| Mar 29, 2026 | 11.45 Bn |
| Dec 28, 2025 | 11.49 Bn |
| Sep 28, 2025 | 10.21 Bn |
| Jun 29, 2025 | 11.14 Bn |
| Mar 30, 2025 | 10.43 Bn |
| Dec 29, 2024 | 9.73 Bn |
| Sep 29, 2024 | 9.07 Bn |
| Jun 30, 2024 | 7.65 Bn |
| Mar 31, 2024 | 7.53 Bn |
| Dec 31, 2023 | 9.40 Bn |
| Oct 1, 2023 | 9.35 Bn |
| Jul 2, 2023 | 9.21 Bn |
| Apr 2, 2023 | 9.12 Bn |
| Jan 1, 2023 | 9.25 Bn |
| Oct 2, 2022 | 9.15 Bn |
| Jul 3, 2022 | 8.40 Bn |
| Apr 3, 2022 | 9.10 Bn |
| Jan 2, 2022 | 8.92 Bn |
| Oct 3, 2021 | 8.15 Bn |
Starbucks Total Current 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-current-liabilities&ticker=SBUX&period=max&api_key=YOUR_API_KEY
import requests
url = "https://data.businessquant.com/historic"
params = {"slug": "total-current-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-current-liabilities&ticker=SBUX&period=max&api_key=YOUR_API_KEY");
const data = await res.json();